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• What is Secondary Research? | Definition, Types, & Examples

What is Secondary Research? | Definition, Types, & Examples

Published on January 20, 2023 by Tegan George . Revised on January 12, 2024.

Secondary research is a research method that uses data that was collected by someone else. In other words, whenever you conduct research using data that already exists, you are conducting secondary research. On the other hand, any type of research that you undertake yourself is called primary research .

Secondary research can be qualitative or quantitative in nature. It often uses data gathered from published peer-reviewed papers, meta-analyses, or government or private sector databases and datasets.

Table of contents

When to use secondary research, types of secondary research, examples of secondary research, advantages and disadvantages of secondary research, other interesting articles, frequently asked questions.

Secondary research is a very common research method, used in lieu of collecting your own primary data. It is often used in research designs or as a way to start your research process if you plan to conduct primary research later on.

Since it is often inexpensive or free to access, secondary research is a low-stakes way to determine if further primary research is needed, as gaps in secondary research are a strong indication that primary research is necessary. For this reason, while secondary research can theoretically be exploratory or explanatory in nature, it is usually explanatory: aiming to explain the causes and consequences of a well-defined problem.

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Secondary research can take many forms, but the most common types are:

Statistical analysis

Literature reviews, case studies, content analysis.

There is ample data available online from a variety of sources, often in the form of datasets. These datasets are often open-source or downloadable at a low cost, and are ideal for conducting statistical analyses such as hypothesis testing or regression analysis .

Credible sources for existing data include:

• The government
• Government agencies
• Non-governmental organizations
• Educational institutions
• Businesses or consultancies
• Libraries or archives
• Newspapers, academic journals, or magazines

A literature review is a survey of preexisting scholarly sources on your topic. It provides an overview of current knowledge, allowing you to identify relevant themes, debates, and gaps in the research you analyze. You can later apply these to your own work, or use them as a jumping-off point to conduct primary research of your own.

Structured much like a regular academic paper (with a clear introduction, body, and conclusion), a literature review is a great way to evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

A case study is a detailed study of a specific subject. It is usually qualitative in nature and can focus on  a person, group, place, event, organization, or phenomenon. A case study is a great way to utilize existing research to gain concrete, contextual, and in-depth knowledge about your real-world subject.

You can choose to focus on just one complex case, exploring a single subject in great detail, or examine multiple cases if you’d prefer to compare different aspects of your topic. Preexisting interviews , observational studies , or other sources of primary data make for great case studies.

Content analysis is a research method that studies patterns in recorded communication by utilizing existing texts. It can be either quantitative or qualitative in nature, depending on whether you choose to analyze countable or measurable patterns, or more interpretive ones. Content analysis is popular in communication studies, but it is also widely used in historical analysis, anthropology, and psychology to make more semantic qualitative inferences.

Secondary research is a broad research approach that can be pursued any way you’d like. Here are a few examples of different ways you can use secondary research to explore your research topic .

Secondary research is a very common research approach, but has distinct advantages and disadvantages.

Advantages of secondary research

Advantages include:

• Secondary data is very easy to source and readily available .
• It is also often free or accessible through your educational institution’s library or network, making it much cheaper to conduct than primary research .
• As you are relying on research that already exists, conducting secondary research is much less time consuming than primary research. Since your timeline is so much shorter, your research can be ready to publish sooner.
• Using data from others allows you to show reproducibility and replicability , bolstering prior research and situating your own work within your field.

Disadvantages of secondary research

Disadvantages include:

• Ease of access does not signify credibility . It’s important to be aware that secondary research is not always reliable , and can often be out of date. It’s critical to analyze any data you’re thinking of using prior to getting started, using a method like the CRAAP test .
• Secondary research often relies on primary research already conducted. If this original research is biased in any way, those research biases could creep into the secondary results.

Many researchers using the same secondary research to form similar conclusions can also take away from the uniqueness and reliability of your research. Many datasets become “kitchen-sink” models, where too many variables are added in an attempt to draw increasingly niche conclusions from overused data . Data cleansing may be necessary to test the quality of the research.

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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Sources in this article

We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.

George, T. (2024, January 12). What is Secondary Research? | Definition, Types, & Examples. Scribbr. Retrieved August 12, 2024, from https://www.scribbr.com/methodology/secondary-research/

Largan, C., & Morris, T. M. (2019). Qualitative Secondary Research: A Step-By-Step Guide (1st ed.). SAGE Publications Ltd.

Peloquin, D., DiMaio, M., Bierer, B., & Barnes, M. (2020). Disruptive and avoidable: GDPR challenges to secondary research uses of data. European Journal of Human Genetics , 28 (6), 697–705. https://doi.org/10.1038/s41431-020-0596-x

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What is Secondary Research? Types, Methods, Examples

Appinio Research · 20.09.2023 · 13min read

Have you ever wondered how researchers gather valuable insights without conducting new experiments or surveys? That's where secondary research steps in—a powerful approach that allows us to explore existing data and information others collect.

Whether you're a student, a professional, or someone seeking to make informed decisions, understanding the art of secondary research opens doors to a wealth of knowledge.

What is Secondary Research?

Secondary Research refers to the process of gathering and analyzing existing data, information, and knowledge that has been previously collected and compiled by others. This approach allows researchers to leverage available sources, such as articles, reports, and databases, to gain insights, validate hypotheses, and make informed decisions without collecting new data.

Benefits of Secondary Research

Secondary research offers a range of advantages that can significantly enhance your research process and the quality of your findings.

• Time and Cost Efficiency: Secondary research saves time and resources by utilizing existing data sources, eliminating the need for data collection from scratch.
• Wide Range of Data: Secondary research provides access to vast information from various sources, allowing for comprehensive analysis.
• Historical Perspective: Examining past research helps identify trends, changes, and long-term patterns that might not be immediately apparent.
• Reduced Bias: As data is collected by others, there's often less inherent bias than in conducting primary research, where biases might affect data collection.
• Support for Primary Research: Secondary research can lay the foundation for primary research by providing context and insights into gaps in existing knowledge.
• Comparative Analysis : By integrating data from multiple sources, you can conduct robust comparative analyses for more accurate conclusions.
• Benchmarking and Validation: Secondary research aids in benchmarking performance against industry standards and validating hypotheses.

Primary Research vs. Secondary Research

When it comes to research methodologies, primary and secondary research each have their distinct characteristics and advantages. Here's a brief comparison to help you understand the differences.

Primary Research

• Data Source: Involves collecting new data directly from original sources.
• Data Collection: Researchers design and conduct surveys, interviews, experiments, or observations.
• Time and Resources: Typically requires more time, effort, and resources due to data collection.
• Fresh Insights: Provides firsthand, up-to-date information tailored to specific research questions.
• Control: Researchers control the data collection process and can shape methodologies.

Secondary Research

• Data Source: Involves utilizing existing data and information collected by others.
• Data Collection: Researchers search, select, and analyze data from published sources, reports, and databases.
• Time and Resources: Generally more time-efficient and cost-effective as data is already available.
• Existing Knowledge: Utilizes data that has been previously compiled, often providing broader context.
• Less Control: Researchers have limited control over how data was collected originally, if any.

Choosing between primary and secondary research depends on your research objectives, available resources, and the depth of insights you require.

Types of Secondary Research

Secondary research encompasses various types of existing data sources that can provide valuable insights for your research endeavors. Understanding these types can help you choose the most relevant sources for your objectives.

Here are the primary types of secondary research:

Internal Sources

Internal sources consist of data generated within your organization or entity. These sources provide valuable insights into your own operations and performance.

• Company Records and Data: Internal reports, documents, and databases that house information about sales, operations, and customer interactions.
• Sales Reports and Customer Data: Analysis of past sales trends, customer demographics, and purchasing behavior.
• Financial Statements and Annual Reports: Financial data, such as balance sheets and income statements, offer insights into the organization's financial health.

External Sources

External sources encompass data collected and published by entities outside your organization.

These sources offer a broader perspective on various subjects.

• Published Literature and Journals: Scholarly articles, research papers, and academic studies available in journals or online databases.
• Market Research Reports: Reports from market research firms that provide insights into industry trends, consumer behavior, and market forecasts.
• Government and NGO Databases: Data collected and maintained by government agencies and non-governmental organizations, offering demographic, economic, and social information.
• Online Media and News Articles: News outlets and online publications that cover current events, trends, and societal developments.

Each type of secondary research source holds its value and relevance, depending on the nature of your research objectives. Combining these sources lets you understand the subject matter and make informed decisions.

How to Conduct Secondary Research?

Effective secondary research involves a thoughtful and systematic approach that enables you to extract valuable insights from existing data sources. Here's a step-by-step guide on how to navigate the process:

1. Define Your Research Objectives

Before delving into secondary research, clearly define what you aim to achieve. Identify the specific questions you want to answer, the insights you're seeking, and the scope of your research.

2. Identify Relevant Sources

Begin by identifying the most appropriate sources for your research. Consider the nature of your research objectives and the data type you require. Seek out sources such as academic journals, market research reports, official government databases, and reputable news outlets.

3. Evaluate Source Credibility

Ensuring the credibility of your sources is crucial. Evaluate the reliability of each source by assessing factors such as the author's expertise, the publication's reputation, and the objectivity of the information provided. Choose sources that align with your research goals and are free from bias.

4. Extract and Analyze Information

Once you've gathered your sources, carefully extract the relevant information. Take thorough notes, capturing key data points, insights, and any supporting evidence. As you accumulate information, start identifying patterns, trends, and connections across different sources.

5. Synthesize Findings

As you analyze the data, synthesize your findings to draw meaningful conclusions. Compare and contrast information from various sources to identify common themes and discrepancies. This synthesis process allows you to construct a coherent narrative that addresses your research objectives.

6. Address Limitations and Gaps

Acknowledge the limitations and potential gaps in your secondary research. Recognize that secondary data might have inherent biases or be outdated. Where necessary, address these limitations by cross-referencing information or finding additional sources to fill in gaps.

7. Contextualize Your Findings

Contextualization is crucial in deriving actionable insights from your secondary research. Consider the broader context within which the data was collected. How does the information relate to current trends, societal changes, or industry shifts? This contextual understanding enhances the relevance and applicability of your findings.

8. Cite Your Sources

Maintain academic integrity by properly citing the sources you've used for your secondary research. Accurate citations not only give credit to the original authors but also provide a clear trail for readers to access the information themselves.

9. Integrate Secondary and Primary Research (If Applicable)

In some cases, combining secondary and primary research can yield more robust insights. If you've also conducted primary research, consider integrating your secondary findings with your primary data to provide a well-rounded perspective on your research topic.

You can use a market research platform like Appinio to conduct primary research with real-time insights in minutes!

10. Communicate Your Findings

Finally, communicate your findings effectively. Whether it's in an academic paper, a business report, or any other format, present your insights clearly and concisely. Provide context for your conclusions and use visual aids like charts and graphs to enhance understanding.

Remember that conducting secondary research is not just about gathering information—it's about critically analyzing, interpreting, and deriving valuable insights from existing data. By following these steps, you'll navigate the process successfully and contribute to the body of knowledge in your field.

Secondary Research Examples

To better understand how secondary research is applied in various contexts, let's explore a few real-world examples that showcase its versatility and value.

Market Analysis and Trend Forecasting

Imagine you're a marketing strategist tasked with launching a new product in the smartphone industry. By conducting secondary research, you can:

• Access Market Reports: Utilize market research reports to understand consumer preferences, competitive landscape, and growth projections.
• Analyze Trends: Examine past sales data and industry reports to identify trends in smartphone features, design, and user preferences.
• Benchmark Competitors: Compare market share, customer satisfaction , and pricing strategies of key competitors to develop a strategic advantage.
• Forecast Demand: Use historical sales data and market growth predictions to estimate demand for your new product.

Academic Research and Literature Reviews

Suppose you're a student researching climate change's effects on marine ecosystems. Secondary research aids your academic endeavors by:

• Reviewing Existing Studies: Analyze peer-reviewed articles and scientific papers to understand the current state of knowledge on the topic.
• Identifying Knowledge Gaps: Identify areas where further research is needed based on what existing studies still need to cover.
• Comparing Methodologies: Compare research methodologies used by different studies to assess the strengths and limitations of their approaches.
• Synthesizing Insights: Synthesize findings from various studies to form a comprehensive overview of the topic's implications on marine life.

Competitive Landscape Assessment for Business Strategy

Consider you're a business owner looking to expand your restaurant chain to a new location. Secondary research aids your strategic decision-making by:

• Analyzing Demographics: Utilize demographic data from government databases to understand the local population's age, income, and preferences.
• Studying Local Trends: Examine restaurant industry reports to identify the types of cuisines and dining experiences currently popular in the area.
• Understanding Consumer Behavior: Analyze online reviews and social media discussions to gauge customer sentiment towards existing restaurants in the vicinity.
• Assessing Economic Conditions: Access economic reports to evaluate the local economy's stability and potential purchasing power.

These examples illustrate the practical applications of secondary research across various fields to provide a foundation for informed decision-making, deeper understanding, and innovation.

Secondary Research Limitations

While secondary research offers many benefits, it's essential to be aware of its limitations to ensure the validity and reliability of your findings.

• Data Quality and Validity: The accuracy and reliability of secondary data can vary, affecting the credibility of your research.
• Limited Contextual Information: Secondary sources might lack detailed contextual information, making it important to interpret findings within the appropriate context.
• Data Suitability: Existing data might not align perfectly with your research objectives, leading to compromises or incomplete insights.
• Outdated Information: Some sources might provide obsolete information that doesn't accurately reflect current trends or situations.
• Potential Bias: While secondary data is often less biased, biases might still exist in the original data sources, influencing your findings.
• Incompatibility of Data: Combining data from different sources might pose challenges due to variations in definitions, methodologies, or units of measurement.
• Lack of Control: Unlike primary research, you have no control over how data was collected or its quality, potentially affecting your analysis. Understanding these limitations will help you navigate secondary research effectively and make informed decisions based on a well-rounded understanding of its strengths and weaknesses.

Secondary research is a valuable tool that businesses can use to their advantage. By tapping into existing data and insights, companies can save time, resources, and effort that would otherwise be spent on primary research. This approach equips decision-makers with a broader understanding of market trends, consumer behaviors, and competitive landscapes. Additionally, benchmarking against industry standards and validating hypotheses empowers businesses to make informed choices that lead to growth and success.

As you navigate the world of secondary research, remember that it's not just about data retrieval—it's about strategic utilization. With a clear grasp of how to access, analyze, and interpret existing information, businesses can stay ahead of the curve, adapt to changing landscapes, and make decisions that are grounded in reliable knowledge.

How to Conduct Secondary Research in Minutes?

In the world of decision-making, having access to real-time consumer insights is no longer a luxury—it's a necessity. That's where Appinio comes in, revolutionizing how businesses gather valuable data for better decision-making. As a real-time market research platform, Appinio empowers companies to tap into the pulse of consumer opinions swiftly and seamlessly.

• Fast Insights: Say goodbye to lengthy research processes. With Appinio, you can transform questions into actionable insights in minutes.
• Data-Driven Decisions: Harness the power of real-time consumer insights to drive your business strategies, allowing you to make informed choices on the fly.
• Seamless Integration: Appinio handles the research and technical complexities, freeing you to focus on what truly matters: making rapid data-driven decisions that propel your business forward.

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Home Market Research

Secondary Research: Definition, Methods and Examples.

In the world of research, there are two main types of data sources: primary and secondary. While primary research involves collecting new data directly from individuals or sources, secondary research involves analyzing existing data already collected by someone else. Today we’ll discuss secondary research.

One common source of this research is published research reports and other documents. These materials can often be found in public libraries, on websites, or even as data extracted from previously conducted surveys. In addition, many government and non-government agencies maintain extensive data repositories that can be accessed for research purposes.

LEARN ABOUT: Research Process Steps

While secondary research may not offer the same level of control as primary research, it can be a highly valuable tool for gaining insights and identifying trends. Researchers can save time and resources by leveraging existing data sources while still uncovering important information.

What is Secondary Research: Definition

Secondary research is a research method that involves using already existing data. Existing data is summarized and collated to increase the overall effectiveness of the research.

One of the key advantages of secondary research is that it allows us to gain insights and draw conclusions without having to collect new data ourselves. This can save time and resources and also allow us to build upon existing knowledge and expertise.

When conducting secondary research, it’s important to be thorough and thoughtful in our approach. This means carefully selecting the sources and ensuring that the data we’re analyzing is reliable and relevant to the research question . It also means being critical and analytical in the analysis and recognizing any potential biases or limitations in the data.

LEARN ABOUT: Level of Analysis

Secondary research is much more cost-effective than primary research , as it uses already existing data, unlike primary research, where data is collected firsthand by organizations or businesses or they can employ a third party to collect data on their behalf.

LEARN ABOUT: Data Analytics Projects

Secondary Research Methods with Examples

Secondary research is cost-effective, one of the reasons it is a popular choice among many businesses and organizations. Not every organization is able to pay a huge sum of money to conduct research and gather data. So, rightly secondary research is also termed “ desk research ”, as data can be retrieved from sitting behind a desk.

The following are popularly used secondary research methods and examples:

1. Data Available on The Internet

One of the most popular ways to collect secondary data is the internet. Data is readily available on the internet and can be downloaded at the click of a button.

This data is practically free of cost, or one may have to pay a negligible amount to download the already existing data. Websites have a lot of information that businesses or organizations can use to suit their research needs. However, organizations need to consider only authentic and trusted website to collect information.

2. Government and Non-Government Agencies

Data for secondary research can also be collected from some government and non-government agencies. For example, US Government Printing Office, US Census Bureau, and Small Business Development Centers have valuable and relevant data that businesses or organizations can use.

There is a certain cost applicable to download or use data available with these agencies. Data obtained from these agencies are authentic and trustworthy.

3. Public Libraries

Public libraries are another good source to search for data for this research. Public libraries have copies of important research that were conducted earlier. They are a storehouse of important information and documents from which information can be extracted.

The services provided in these public libraries vary from one library to another. More often, libraries have a huge collection of government publications with market statistics, large collection of business directories and newsletters.

4. Educational Institutions

Importance of collecting data from educational institutions for secondary research is often overlooked. However, more research is conducted in colleges and universities than any other business sector.

The data that is collected by universities is mainly for primary research. However, businesses or organizations can approach educational institutions and request for data from them.

5. Commercial Information Sources

Local newspapers, journals, magazines, radio and TV stations are a great source to obtain data for secondary research. These commercial information sources have first-hand information on economic developments, political agenda, market research, demographic segmentation and similar subjects.

Businesses or organizations can request to obtain data that is most relevant to their study. Businesses not only have the opportunity to identify their prospective clients but can also know about the avenues to promote their products or services through these sources as they have a wider reach.

Learn More: Data Collection Methods: Types & Examples

Key Differences between Primary Research and Secondary Research

Understanding the distinction between primary research and secondary research is essential in determining which research method is best for your project. These are the two main types of research methods, each with advantages and disadvantages. In this section, we will explore the critical differences between the two and when it is appropriate to use them.

How to Conduct Secondary Research?

We have already learned about the differences between primary and secondary research. Now, let’s take a closer look at how to conduct it.

Secondary research is an important tool for gathering information already collected and analyzed by others. It can help us save time and money and allow us to gain insights into the subject we are researching. So, in this section, we will discuss some common methods and tips for conducting it effectively.

Here are the steps involved in conducting secondary research:

1. Identify the topic of research: Before beginning secondary research, identify the topic that needs research. Once that’s done, list down the research attributes and its purpose.

2. Identify research sources: Next, narrow down on the information sources that will provide most relevant data and information applicable to your research.

3. Collect existing data: Once the data collection sources are narrowed down, check for any previous data that is available which is closely related to the topic. Data related to research can be obtained from various sources like newspapers, public libraries, government and non-government agencies etc.

4. Combine and compare: Once data is collected, combine and compare the data for any duplication and assemble data into a usable format. Make sure to collect data from authentic sources. Incorrect data can hamper research severely.

4. Analyze data: Analyze collected data and identify if all questions are answered. If not, repeat the process if there is a need to dwell further into actionable insights.

Advantages of Secondary Research

Secondary research offers a number of advantages to researchers, including efficiency, the ability to build upon existing knowledge, and the ability to conduct research in situations where primary research may not be possible or ethical. By carefully selecting their sources and being thoughtful in their approach, researchers can leverage secondary research to drive impact and advance the field. Some key advantages are the following:

1. Most information in this research is readily available. There are many sources from which relevant data can be collected and used, unlike primary research, where data needs to collect from scratch.

2. This is a less expensive and less time-consuming process as data required is easily available and doesn’t cost much if extracted from authentic sources. A minimum expenditure is associated to obtain data.

3. The data that is collected through secondary research gives organizations or businesses an idea about the effectiveness of primary research. Hence, organizations or businesses can form a hypothesis and evaluate cost of conducting primary research.

4. Secondary research is quicker to conduct because of the availability of data. It can be completed within a few weeks depending on the objective of businesses or scale of data needed.

As we can see, this research is the process of analyzing data already collected by someone else, and it can offer a number of benefits to researchers.

Disadvantages of Secondary Research

On the other hand, we have some disadvantages that come with doing secondary research. Some of the most notorious are the following:

1. Although data is readily available, credibility evaluation must be performed to understand the authenticity of the information available.

2. Not all secondary data resources offer the latest reports and statistics. Even when the data is accurate, it may not be updated enough to accommodate recent timelines.

3. Secondary research derives its conclusion from collective primary research data. The success of your research will depend, to a greater extent, on the quality of research already conducted by primary research.

LEARN ABOUT: 12 Best Tools for Researchers

In conclusion, secondary research is an important tool for researchers exploring various topics. By leveraging existing data sources, researchers can save time and resources, build upon existing knowledge, and conduct research in situations where primary research may not be feasible.

There are a variety of methods and examples of secondary research, from analyzing public data sets to reviewing previously published research papers. As students and aspiring researchers, it’s important to understand the benefits and limitations of this research and to approach it thoughtfully and critically. By doing so, we can continue to advance our understanding of the world around us and contribute to meaningful research that positively impacts society.

QuestionPro can be a useful tool for conducting secondary research in a variety of ways. You can create online surveys that target a specific population, collecting data that can be analyzed to gain insights into consumer behavior, attitudes, and preferences; analyze existing data sets that you have obtained through other means or benchmark your organization against others in your industry or against industry standards. The software provides a range of benchmarking tools that can help you compare your performance on key metrics, such as customer satisfaction, with that of your peers.

Using QuestionPro thoughtfully and strategically allows you to gain valuable insights to inform decision-making and drive business success. Start today for free! No credit card is required.

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Secondary Research Guide: Definition, Methods, Examples

Apr 3, 2024

8 min. read

The internet has vastly expanded our access to information, allowing us to learn almost anything about everything. But not all market research is created equal , and this secondary research guide explains why.

There are two key ways to do research. One is to test your own ideas, make your own observations, and collect your own data to derive conclusions. The other is to use secondary research — where someone else has done most of the heavy lifting for you. 

Here’s an overview of secondary research and the value it brings to data-driven businesses.

Secondary Research Definition: What Is Secondary Research?

Primary vs Secondary Market Research

What Are Secondary Research Methods?

Advantages of secondary research, disadvantages of secondary research, best practices for secondary research, how to conduct secondary research with meltwater.

Secondary research definition: The process of collecting information from existing sources and data that have already been analyzed by others.

Secondary research (aka desk research or complementary research ) provides a foundation to help you understand a topic, with the goal of building on existing knowledge. They often cover the same information as primary sources, but they add a layer of analysis and explanation to them.

Users can choose from several secondary research types and sources, including:

• Journal articles
• Research papers

With secondary sources, users can draw insights, detect trends , and validate findings to jumpstart their research efforts.

Primary vs. Secondary Market Research

We’ve touched a little on primary research , but it’s essential to understand exactly how primary and secondary research are unique.

Think of primary research as the “thing” itself, and secondary research as the analysis of the “thing,” like these primary and secondary research examples:

• An expert gives an interview (primary research) and a marketer uses that interview to write an article (secondary research).
• A company conducts a consumer satisfaction survey (primary research) and a business analyst uses the survey data to write a market trend report (secondary research).
• A marketing team launches a new advertising campaign across various platforms (primary research) and a marketing research firm, like Meltwater for market research , compiles the campaign performance data to benchmark against industry standards (secondary research).

In other words, primary sources make original contributions to a topic or issue, while secondary sources analyze, synthesize, or interpret primary sources.

Both are necessary when optimizing a business, gaining a competitive edge , improving marketing, or understanding consumer trends that may impact your business.

Secondary research methods focus on analyzing existing data rather than collecting primary data . Common examples of secondary research methods include:

• Literature review . Researchers analyze and synthesize existing literature (e.g., white papers, research papers, articles) to find knowledge gaps and build on current findings.
• Content analysis . Researchers review media sources and published content to find meaningful patterns and trends.
• AI-powered secondary research . Platforms like Meltwater for market research analyze vast amounts of complex data and use AI technologies like natural language processing and machine learning to turn data into contextual insights.

Researchers today have access to more secondary research companies and market research tools and technology than ever before, allowing them to streamline their efforts and improve their findings.

Want to see how Meltwater can complement your secondary market research efforts? Simply fill out the form at the bottom of this post, and we'll be in touch.

Conducting secondary research offers benefits in every job function and use case, from marketing to the C-suite. Here are a few advantages you can expect.

Cost and time efficiency

Using existing research saves you time and money compared to conducting primary research. Secondary data is readily available and easily accessible via libraries, free publications, or the Internet. This is particularly advantageous when you face time constraints or when a project requires a large amount of data and research.

Access to large datasets

Secondary data gives you access to larger data sets and sample sizes compared to what primary methods may produce. Larger sample sizes can improve the statistical power of the study and add more credibility to your findings.

Ability to analyze trends and patterns

Using larger sample sizes, researchers have more opportunities to find and analyze trends and patterns. The more data that supports a trend or pattern, the more trustworthy the trend becomes and the more useful for making decisions. 

Historical context

Using a combination of older and recent data allows researchers to gain historical context about patterns and trends. Learning what’s happened before can help decision-makers gain a better current understanding and improve how they approach a problem or project.

Basis for further research

Ideally, you’ll use secondary research to further other efforts . Secondary sources help to identify knowledge gaps, highlight areas for improvement, or conduct deeper investigations.

Tip: Learn how to use Meltwater as a research tool and how Meltwater uses AI.

Secondary research comes with a few drawbacks, though these aren’t necessarily deal breakers when deciding to use secondary sources.

Reliability concerns

Researchers don’t always know where the data comes from or how it’s collected, which can lead to reliability concerns. They don’t control the initial process, nor do they always know the original purpose for collecting the data, both of which can lead to skewed results.

Potential bias

The original data collectors may have a specific agenda when doing their primary research, which may lead to biased findings. Evaluating the credibility and integrity of secondary data sources can prove difficult.

Outdated information

Secondary sources may contain outdated information, especially when dealing with rapidly evolving trends or fields. Using outdated information can lead to inaccurate conclusions and widen knowledge gaps.

Limitations in customization

Relying on secondary data means being at the mercy of what’s already published. It doesn’t consider your specific use cases, which limits you as to how you can customize and use the data.

A lack of relevance

Secondary research rarely holds all the answers you need, at least from a single source. You typically need multiple secondary sources to piece together a narrative, and even then you might not find the specific information you need.

To make secondary market research your new best friend, you’ll need to think critically about its strengths and find ways to overcome its weaknesses. Let’s review some best practices to use secondary research to its fullest potential.

Identify credible sources for secondary research

To overcome the challenges of bias, accuracy, and reliability, choose secondary sources that have a demonstrated history of excellence . For example, an article published in a medical journal naturally has more credibility than a blog post on a little-known website.

Assess credibility based on peer reviews, author expertise, sampling techniques, publication reputation, and data collection methodologies. Cross-reference the data with other sources to gain a general consensus of truth.

The more credibility “factors” a source has, the more confidently you can rely on it. 

Evaluate the quality and relevance of secondary data

You can gauge the quality of the data by asking simple questions:

• How complete is the data? 
• How old is the data? 
• Is this data relevant to my needs?
• Does the data come from a known, trustworthy source?

It’s best to focus on data that aligns with your research objectives. Knowing the questions you want to answer and the outcomes you want to achieve ahead of time helps you focus only on data that offers meaningful insights.

Document your sources 

If you’re sharing secondary data with others, it’s essential to document your sources to gain others’ trust. They don’t have the benefit of being “in the trenches” with you during your research, and sharing your sources can add credibility to your findings and gain instant buy-in.

Secondary market research offers an efficient, cost-effective way to learn more about a topic or trend, providing a comprehensive understanding of the customer journey . Compared to primary research, users can gain broader insights, analyze trends and patterns, and gain a solid foundation for further exploration by using secondary sources.

Meltwater for market research speeds up the time to value in using secondary research with AI-powered insights, enhancing your understanding of the customer journey. Using natural language processing, machine learning, and trusted data science processes, Meltwater helps you find relevant data and automatically surfaces insights to help you understand its significance. Our solution identifies hidden connections between data points you might not know to look for and spells out what the data means, allowing you to make better decisions based on accurate conclusions. Learn more about Meltwater's power as a secondary research solution when you request a demo by filling out the form below:

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Secondary Research: Methods, Examples, and Strategic Insights

Kate Williams

Last Updated: 29 May 2024

10 min read

Table Of Contents

Secondary Research

• An Overview
• Primary vs Secondary

Sources and References

• Conducting Research
• Pros and Cons

Secondary research involves the analysis and interpretation of existing data and information collected by others. It provides valuable insights for informed decision-making without conducting new surveys or experiments. But, why is it important for businesses? Successful enterprises attribute their strategic decisions to comprehensive secondary research. In this blog, we will look into its importance, pros and cons, and all that you need to know.

What is Secondary Research?

Secondary research is not just about compiling data. It’s about synthesizing information to draw meaningful conclusions. Analysts sift through vast datasets, identifying patterns, trends, and correlations. This methodical approach transforms raw data into actionable insights, guiding businesses in their strategic endeavors.

Simply put, it involves the analysis and interpretation of existing data and information collected by others. This data can come from a variety of sources, such as academic papers, industry reports, market studies, government publications, and online databases. By tapping into pre-existing data, businesses can gain valuable insights without the time and resource-intensive process of conducting primary research, making it a cost-effective and efficient approach.

Why not think about elevating your data collection too? SurveySparrow stands ready, a friendly suggestion to boost your research process. You can create engaging surveys, collect data, analyze, and act upon the rich insights you gain from the process.

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Primary vs Secondary Research

Now, before we delve into the details, we need to be very clear about what primary research is. Why? Because the former builds upon the latter. Secondary research can only be done upon the existence of data. And, what better way than a comparison of the two to get a better grasp?

Primary Research:

Direct Data Collection: It involves gathering data directly from the source. Researchers use methods like surveys, interviews, experiments, or observations to collect specific information tailored to their study.

Specific to Study: The data collected in primary research is exclusive to the research question at hand. It is designed to address specific inquiries and provide detailed, targeted insights into the topic of interest.

Time-Consuming: Moreover, it can be time-intensive as it requires planning, conducting surveys or interviews, and analyzing the collected data. Researchers invest significant time to ensure the accuracy and reliability of the information gathered.

Tailored Questions: Researchers formulate precise and tailored questions to extract relevant information from participants. These questions are carefully designed to elicit specific responses, contributing to the depth of the research findings.

Costly: Implementing primary research methods often involves expenses related to participant recruitment, survey administration, and data analysis. The costs can vary based on the complexity and scope of the research.

Fresh Information: It provides fresh, firsthand information directly from the participants. It offers unique perspectives and insights, making it valuable for studies requiring original data.

Read More: How To Do Primary Research: An Ultimate Guide

Existing Data Analysis: It involves the analysis and interpretation of pre-existing data. Researchers explore reports, articles, studies, and other pre-existing information to draw conclusions or generate insights.

Broad Overview: It provides a comprehensive overview of a subject matter. It encompasses a wide range of data, allowing researchers to explore multiple facets of a topic without the need for new data collection.

Time-Efficient: Researchers utilize information readily available from various sources. This approach saves time compared to the process of collecting new data through primary research methods.

General Insights: The insights gained are general. They offer a broad understanding of a topic without the specificity that primary research can provide. Basically, it forms a foundation for initial exploration.

Cost-Effective: Compared to primary research, it is cost-effective as it utilizes existing data sources. Researchers do not incur the costs associated with participant recruitment and data collection, making it a budget-friendly option.

Historical Data: Secondary research often involves historical data, which can provide trends and patterns over time. Researchers can analyze past information to identify changes, making it valuable for longitudinal studies.

When conducting secondary research for a company, the focus narrows down to specific sources that offer relevant insights into market trends, consumer behaviors, industry competition, and other business-related aspects.

Here’s a tailored list of key sources and references:

1. Industry Reports and Market Research Firms

Market research is key! Industry-specific reports from reputable market research firms offer detailed analyses, market forecasts, and competitor landscapes, aiding businesses in understanding market trends and customer demands.

2. Competitor Websites and Annual Reports

Your competitor’s website and annual reports are like their personal diary. Analyzing them provides valuable information on their products, strategies, financial performance, and market positioning, helping businesses identify competitive advantages and market gaps.

3. Trade Publications and Business Magazines

They provide industry-specific news, expert opinions, and case studies. This in turn provides insights into merging trends, best practices, and successful business strategies.

4. Government Economic Data and Regulatory Publications

Governments share economic data and regulations. For instance, you get data on GDP growth, employment rates, and industry regulations. You’ll know what’s changing and how it might affect your business.

5. Academic Journals and Research Papers

These are like textbooks. They provide in-depth information about theories and analyses. With it, you can understand the “whys” behind market behaviors.

How to Conduct Secondary Research

1. Define Your Research Questions

Clearly outline what you want to know. Define specific research questions to guide your search and keep your focus sharp. Also, remember to make the questions to the point to provide a clear direction for your study.

2. Identify Your Sources

Don’t just stick to one source. Explore all the options available to get a broad view of the subject. Later, narrow down your findings to get to the precise point you have been deducing.

3. Use Online Databases Wisely

Develop a robust set of keywords related to your topic. Utilize Boolean operators ( AND, OR, NOT ) to refine your search. Experiment with various combinations to obtain the most relevant results.

4. Evaluate Your Sources

Assess the credibility of each source. Check the author’s credentials, publication date, and publisher. Peer-reviewed journals and academic institutions are usually trustworthy.

5. Take Thorough Notes

Record key points, statistics, and quotes. Note the publication details for proper citation. Organize your notes by topic for easy reference.

6. Synthesize Information

Analyze the gathered data. Identify patterns, trends, and discrepancies. Compare and contrast information from different sources to gain comprehensive insights. By doing this, you can see how different sources complement or contradict each other.

7. Validate the Information

Once you have all the information needed, properly source and add references. Any unauthorized data can cause huge differences in the decisions you make based on the insights. In the case of academic research, create a comprehensive bibliography listing all your sources.

8. Stay Curious and Keep Exploring

Research does not end with a single project. Stay curious about new developments, theories, and research findings. Continue learning to broaden your knowledge base and refine your research skills.

Types of Secondary Research

1. literature reviews.

Literature reviews involve analyzing existing academic publications, research papers, books, and articles related to the topic of study. Through literature reviews, scholars gain insights into the evolution of ideas, theories, and methodologies, providing a solid foundation for their research endeavors.

2. Content Analysis

Content analysis is a methodical examination of various media forms, such as articles, advertisements, social media posts, or documents, to extract meaningful insights. Researchers scrutinize the content to identify patterns, themes, attitudes, or trends within the material. This method is widely used in media studies, communication, and social sciences.

 3. Historical Analysis

This method allows researchers to explore the social, cultural, and political factors that have shaped societies, providing valuable context for contemporary studies. It is the meticulous study of historical documents, records, artifacts, or events to gain insights into past behaviors or trends.

4. Case Studies

Case studies delve into specific instances, organizations, or events, offering an in-depth exploration of real-life situations. Researchers analyze existing reports, documents, or publications related to the chosen case to extract valuable insights. It is widely used in business, social sciences, and medical research.

5. Surveys and Polls

Surveys and polls involve the analysis of data that is collected from diverse populations. Researchers explore data sets generated by organizations or research institutions through survey administration. They provide the quantitative data you need to make informed decisions. Moreover, they make it easy to gain insights into public opinions, attitudes, behaviors, or trends across various demographics.

Read More: How to Conduct a Survey

Pros and Cons of Secondary Research

Cost-Effectiveness: Utilizes existing data, saving on research costs. Time Efficiency: Quick access to a wide range of data. Broad Scope: Covers diverse topics and historical data. In-Depth Analysis: Enables detailed examination and exploration.

Disadvantages

Data Quality Concerns: Varied quality and potential biases in existing data. Limited Control: No control over data collection, limiting specific variables. Data Relevance: Data might not precisely align with research questions. Outdated Information: Data can become obsolete in rapidly changing fields.

Alright, before we end this, let’s talk timing! Secondary research guides you through different points of your research process. Imagine you are at the beginning, trying to go deeper into the topic. This is where it comes of use. It gives you foundational knowledge and helps you refine your questions. Then, later, when you’re digging into scholarly articles, research shows you where others have tread and where unexplored territories lie.

So, before you conduct primary research make sure you make a quick secondary research pitstop. It will not only save you time and effort but also help you understand the trends that matter, whether you’re at the beginning, middle, or even near the end of your research.

And, while you’re at it, make sure you stop by SurveySparrow and give it a try! This pitstop might be your ultimate solution.

Content Marketer at SurveySparrow

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Primary vs secondary research – what’s the difference.

14 min read Find out how primary and secondary research are different from each other, and how you can use them both in your own research program.

Primary vs secondary research: in a nutshell

The essential difference between primary and secondary research lies in who collects the data.

• Primary research definition

When you conduct primary research, you’re collecting data by doing your own surveys or observations.

• Secondary research definition:

In secondary research, you’re looking at existing data from other researchers, such as academic journals, government agencies or national statistics.

Free Ebook: The Qualtrics Handbook of Question Design

When to use primary vs secondary research

Primary research and secondary research both offer value in helping you gather information.

Each research method can be used alone to good effect. But when you combine the two research methods, you have the ingredients for a highly effective market research strategy. Most research combines some element of both primary methods and secondary source consultation.

So assuming you’re planning to do both primary and secondary research – which comes first? Counterintuitive as it sounds, it’s more usual to start your research process with secondary research, then move on to primary research.

Secondary research can prepare you for collecting your own data in a primary research project. It can give you a broad overview of your research area, identify influences and trends, and may give you ideas and avenues to explore that you hadn’t previously considered.

Given that secondary research can be done quickly and inexpensively, it makes sense to start your primary research process with some kind of secondary research. Even if you’re expecting to find out what you need to know from a survey of your target market, taking a small amount of time to gather information from secondary sources is worth doing.

Primary research

Primary market research is original research carried out when a company needs timely, specific data about something that affects its success or potential longevity.

Primary research data collection might be carried out in-house by a business analyst or market research team within the company, or it may be outsourced to a specialist provider, such as an agency or consultancy. While outsourcing primary research involves a greater upfront expense, it’s less time consuming and can bring added benefits such as researcher expertise and a ‘fresh eyes’ perspective that avoids the risk of bias and partiality affecting the research data.

Primary research gives you recent data from known primary sources about the particular topic you care about, but it does take a little time to collect that data from scratch, rather than finding secondary data via an internet search or library visit.

Primary research involves two forms of data collection:

• Exploratory research This type of primary research is carried out to determine the nature of a problem that hasn’t yet been clearly defined. For example, a supermarket wants to improve its poor customer service and needs to understand the key drivers behind the customer experience issues. It might do this by interviewing employees and customers, or by running a survey program or focus groups.
• Conclusive research This form of primary research is carried out to solve a problem that the exploratory research – or other forms of primary data – has identified. For example, say the supermarket’s exploratory research found that employees weren’t happy. Conclusive research went deeper, revealing that the manager was rude, unreasonable, and difficult, making the employees unhappy and resulting in a poor employee experience which in turn led to less than excellent customer service. Thanks to the company’s choice to conduct primary research, a new manager was brought in, employees were happier and customer service improved.

Examples of primary research

All of the following are forms of primary research data.

• Customer satisfaction survey results
• Employee experience pulse survey results
• NPS rating scores from your customers
• A field researcher’s notes
• Data from weather stations in a local area
• Recordings made during focus groups

Primary research methods

There are a number of primary research methods to choose from, and they are already familiar to most people. The ones you choose will depend on your budget, your time constraints, your research goals and whether you’re looking for quantitative or qualitative data.

A survey can be carried out online, offline, face to face or via other media such as phone or SMS. It’s relatively cheap to do, since participants can self-administer the questionnaire in most cases. You can automate much of the process if you invest in good quality survey software.

Primary research interviews can be carried out face to face, over the phone or via video calling. They’re more time-consuming than surveys, and they require the time and expense of a skilled interviewer and a dedicated room, phone line or video calling setup. However, a personal interview can provide a very rich primary source of data based not only on the participant’s answers but also on the observations of the interviewer.

Focus groups

A focus group is an interview with multiple participants at the same time. It often takes the form of a discussion moderated by the researcher. As well as taking less time and resources than a series of one-to-one interviews, a focus group can benefit from the interactions between participants which bring out more ideas and opinions. However this can also lead to conversations going off on a tangent, which the moderator must be able to skilfully avoid by guiding the group back to the relevant topic.

Secondary research

Secondary research is research that has already been done by someone else prior to your own research study.

Secondary research is generally the best place to start any research project as it will reveal whether someone has already researched the same topic you’re interested in, or a similar topic that helps lay some of the groundwork for your research project.

Even if your preliminary secondary research doesn’t turn up a study similar to your own research goals, it will still give you a stronger knowledge base that you can use to strengthen and refine your research hypothesis. You may even find some gaps in the market you didn’t know about before.

The scope of secondary research resources is extremely broad. Here are just a few of the places you might look for relevant information.

Books and magazines

A public library can turn up a wealth of data in the form of books and magazines – and it doesn’t cost a penny to consult them.

Market research reports

Secondary research from professional research agencies can be highly valuable, as you can be confident the data collection methods and data analysis will be sound

Scholarly journals, often available in reference libraries

Peer-reviewed journals have been examined by experts from the relevant educational institutions, meaning there has been an extra layer of oversight and careful consideration of the data points before publication.

Government reports and studies

Public domain data, such as census data, can provide relevant information for your research project, not least in choosing the appropriate research population for a primary research method. If the information you need isn’t readily available, try contacting the relevant government agencies.

White papers

Businesses often produce white papers as a means of showcasing their expertise and value in their field. White papers can be helpful in secondary research methods, although they may not be as carefully vetted as academic papers or public records.

Trade or industry associations

Associations may have secondary data that goes back a long way and offers a general overview of a particular industry. This data collected over time can be very helpful in laying the foundations of your particular research project.

Private company data

Some businesses may offer their company data to those conducting research in return for fees or with explicit permissions. However, if a business has data that’s closely relevant to yours, it’s likely they are a competitor and may flat out refuse your request.

Learn more about secondary research

Examples of secondary research data

These are all forms of secondary research data in action:

• A newspaper report quoting statistics sourced by a journalist
• Facts from primary research articles quoted during a debate club meeting
• A blog post discussing new national figures on the economy
• A company consulting previous research published by a competitor

Secondary research methods

Literature reviews.

A core part of the secondary research process, involving data collection and constructing an argument around multiple sources. A literature review involves gathering information from a wide range of secondary sources on one topic and summarizing them in a report or in the introduction to primary research data.

Content analysis

This systematic approach is widely used in social science disciplines. It uses codes for themes, tropes or key phrases which are tallied up according to how often they occur in the secondary data. The results help researchers to draw conclusions from qualitative data.

Data analysis using digital tools

You can analyze large volumes of data using software that can recognize and categorize natural language. More advanced tools will even be able to identify relationships and semantic connections within the secondary research materials.

Comparing primary vs secondary research

We’ve established that both primary research and secondary research have benefits for your business, and that there are major differences in terms of the research process, the cost, the research skills involved and the types of data gathered. But is one of them better than the other?

The answer largely depends on your situation. Whether primary or secondary research wins out in your specific case depends on the particular topic you’re interested in and the resources you have available. The positive aspects of one method might be enough to sway you, or the drawbacks – such as a lack of credible evidence already published, as might be the case in very fast-moving industries – might make one method totally unsuitable.

Here’s an at-a-glance look at the features and characteristics of primary vs secondary research, illustrating some of the key differences between them.

What are the pros and cons of primary research?

Primary research provides original data and allows you to pinpoint the issues you’re interested in and collect data from your target market – with all the effort that entails.

Benefits of primary research:

• Tells you what you need to know, nothing irrelevant
• Yours exclusively – once acquired, you may be able to sell primary data or use it for marketing
• Teaches you more about your business
• Can help foster new working relationships and connections between silos
• Primary research methods can provide upskilling opportunities – employees gain new research skills

Limitations of primary research:

• Lacks context from other research on related subjects
• Can be expensive
• Results aren’t ready to use until the project is complete
• Any mistakes you make in in research design or implementation could compromise your data quality
• May not have lasting relevance – although it could fulfill a benchmarking function if things change

What are the pros and cons of secondary research?

Secondary research relies on secondary sources, which can be both an advantage and a drawback. After all, other people are doing the work, but they’re also setting the research parameters.

Benefits of secondary research:

• It’s often low cost or even free to access in the public domain
• Supplies a knowledge base for researchers to learn from
• Data is complete, has been analyzed and checked, saving you time and costs
• It’s ready to use as soon as you acquire it

Limitations of secondary research

• May not provide enough specific information
• Conducting a literature review in a well-researched subject area can become overwhelming
• No added value from publishing or re-selling your research data
• Results are inconclusive – you’ll only ever be interpreting data from another organization’s experience, not your own
• Details of the research methodology are unknown
• May be out of date – always check carefully the original research was conducted

Related resources

Business research methods 12 min read, qualitative research interviews 11 min read, market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, request demo.

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Using Secondary Research For Better Decisions: An Overview

It’s time to enhance your work with existing research findings! Explore all about the world of secondary research.

Secondary research, also known as desk research or literature review, is a cornerstone of academic inquiry and professional investigation. It involves the analysis and synthesis of existing data, information, and knowledge collected by others, rather than gathering primary data firsthand. In essence, secondary research is akin to standing on the shoulders of giants, leveraging the work of previous researchers to gain insights, validate findings, and generate new knowledge.

This methodological approach holds immense value across various disciplines, from scientific research and social sciences to business analytics and market research. By tapping into a vast reservoir of pre-existing data sources, secondary research enables researchers to explore diverse perspectives, identify patterns, and draw meaningful conclusions without the constraints of time and resources associated with primary data collection.

This article delves into the nuances of secondary research, exploring its significance, methodologies, best practices, and potential pitfalls. 

Understanding Secondary Research

Secondary research refers to the systematic examination and analysis of existing data, information, and knowledge sources to address a research question or inquiry. This type of research involves synthesizing data that has already been collected, processed, and published by others, rather than gathering new data through direct observation or experimentation.

Definition Of Secondary Research

Secondary research encompasses a wide range of sources, including but not limited to academic journals, books, government reports, industry publications, market research reports, historical documents, and online databases. Researchers often employ various methods to access and analyze these sources, such as literature reviews, content analysis, meta-analyses, and data mining techniques.

Also read: Chaos to Clarity: Structuring Your Literature Review Format

One of the key characteristics of secondary research is its reliance on pre-existing data and information. Researchers leverage these resources to examine trends, explore relationships, validate hypotheses, and generate new insights within their respective fields of study. Secondary research can be particularly useful when conducting exploratory studies, theoretical investigations, or comparative analyses where access to primary data may be limited or impractical.

Secondary research differs from primary research in several fundamental ways:

• Source of Data : Primary research involves the collection of original data directly from individuals, organizations, or phenomena through methods such as surveys, interviews, experiments, or observations. In contrast, secondary research relies on data that has already been collected, processed, and disseminated by others.
• Time and Resources : Primary research typically requires significant time, effort, and resources to plan, execute, and analyze data collection activities. Secondary research, on the other hand, can be more time-efficient and cost-effective since researchers can access readily available data without the need for direct data collection.
• Control Over Variables : In primary research, researchers have greater control over the research process, including the selection of participants, design of data collection instruments, and manipulation of variables. Secondary research involves analyzing data collected by others, limiting researchers’ control over these factors.
• Depth of Analysis : While primary research allows researchers to delve deeply into specific research questions or hypotheses, secondary research often provides broader insights by synthesizing data from multiple sources and perspectives.

Importance Of Secondary Research

Secondary research plays a crucial role in advancing scientific inquiry, informing evidence-based decision-making, and addressing research questions across various disciplines. Its cost-effectiveness, time efficiency, access to diverse data sources, validation of findings, exploratory insights, historical context, ethical considerations, and promotion of accessibility and reproducibility underscore its importance as a valuable research methodology.

• Cost – Effectiveness : Secondary research is often more cost-effective compared to primary research methods. It eliminates the need for data collection expenses such as survey administration, participant recruitment, and experimental setups, making it an attractive option for researchers with limited budgets.
• Time Efficiency : Secondary research saves valuable time by leveraging existing data sources. Researchers can quickly access a vast array of information without the lengthy process of designing, implementing, and analyzing primary data collection methods.
• Access to Diverse Data Sources : Secondary research provides access to a wide range of data sources, including academic journals, government reports, industry publications, and historical documents. This diversity allows researchers to explore multiple perspectives, validate findings, and conduct comprehensive literature reviews to support their research objectives.
• Validation of Findings : Secondary research enables researchers to validate their findings by comparing and contrasting results across different studies and datasets. This process helps strengthen the robustness and credibility of research outcomes, enhancing confidence in the conclusions drawn from the analysis.
• Exploratory Insights : Secondary research can uncover new insights and hypotheses for further exploration. By synthesizing existing knowledge and identifying gaps in the literature, researchers can generate novel research questions and directions that contribute to the advancement of knowledge within their fields.
• Historical Context and Trends Analysis : Secondary research provides access to historical data, allowing researchers to analyze trends, patterns, and changes over time. This historical perspective enhances understanding of phenomena, facilitates longitudinal studies, and informs future projections and forecasts.
• Ethical Considerations : Secondary research minimizes ethical concerns associated with primary data collection, such as ensuring participant confidentiality, obtaining informed consent, and mitigating potential harm to research subjects. By utilizing existing data, researchers can adhere to ethical principles while still conducting rigorous and impactful research.
• Accessibility and Reproducibility : Secondary research promotes accessibility and reproducibility by making data and findings available to a wider audience of researchers and stakeholders. Transparent reporting of methods and results enhances the credibility and replicability of research outcomes, fostering collaboration and knowledge exchange within the academic community.

Also read: The Importance of Reproducibility in Scientific Research

Key Methods Of Secondary Research

In secondary research, researchers utilize various methods to access and analyze existing data sources. These methods allow researchers to explore diverse perspectives, validate findings, identify patterns, and generate new insights without the constraints of primary data collection.

Data Sources For Secondary Research

Researchers access a variety of sources such as academic journals, government reports, industry publications, books, and online databases.

• Academic Journals : Academic journals contain peer-reviewed research articles spanning various disciplines. They provide in-depth analyses, theoretical frameworks, and empirical findings relevant to specific research topics. Advantages include rigorously reviewed and validated research, while disadvantages may include access fees and potential publication bias.
• Government Reports and Publications : Government agencies produce reports, statistics, and policy documents on a wide range of topics, including demographics, economics, health, and education. These sources offer authoritative data and insights but may be subject to political agendas and limitations in data availability or accessibility.
• Industry Reports and Market Research : Industry reports and market research publications provide data and analysis on specific markets, industries, consumer behaviors, and trends. They offer valuable insights for business planning, market analysis, and strategic decision-making, but may be costly and proprietary.
• Books and Monographs : Books and monographs offer comprehensive reviews, analyses, and interpretations of research topics, theories, and methodologies. They provide historical context, theoretical frameworks, and qualitative insights, but may lack the timeliness and specificity of other sources.
• Online Databases and Repositories : Online databases such as PubMed, JSTOR, and Google Scholar aggregate scholarly literature, research articles, and citations from various sources. They offer extensive search capabilities, access to full-text articles, and citation tracking features, but may require subscriptions or access fees for certain content.

Techniques Of Collating Secondary Research

Different techniques are employed to analyze and interpret secondary data, including literature reviews, content analysis, meta-analysis, data mining, and systematic reviews.

• Literature Review : A literature review involves systematically searching, evaluating, and synthesizing existing research literature on a specific topic or research question. It helps identify gaps in knowledge, theoretical frameworks, and methodologies, providing a comprehensive overview of relevant studies and findings.
• Content Analysis : Content analysis involves analyzing textual, visual, or audiovisual content to identify patterns, themes, and trends. It allows researchers to quantify and interpret qualitative data, uncovering implicit meanings and relationships within a dataset.
• Meta – Analysis : Meta-analysis involves statistically synthesizing data from multiple studies to produce a quantitative summary of findings. It enables researchers to assess the magnitude and consistency of effects across studies, identify sources of variability, and generate more precise estimates of effect sizes.
• Data Mining : Data mining involves extracting patterns, trends, and insights from large datasets using computational techniques and algorithms. It allows researchers to discover hidden patterns, associations, and correlations within complex data structures, facilitating exploratory analyses and predictive modeling.
• Systematic Review : A systematic review involves a rigorous and transparent process of searching, selecting, and synthesizing relevant research studies to address a specific research question. It follows predefined criteria and methodologies to minimize bias and ensure reproducibility, providing robust evidence for informing policy and practice decisions.

Usage Of Secondary Research In Different Fields

Secondary research plays a vital role in academia and market analysis by providing researchers and businesses with access to existing data sources, insights, and knowledge that inform scholarly inquiry, theoretical development, and strategic decision-making.

Secondary Research In Academic Studies

In academia, secondary research methods are essential for synthesizing existing knowledge, identifying research gaps, and developing theoretical frameworks. Through literature reviews, meta-analyses, historical research, and theoretical studies, scholars contribute to the advancement of knowledge within their disciplines.

• Literature Reviews : Researchers conduct literature reviews to synthesize existing knowledge on a particular topic, identify research gaps, and develop theoretical frameworks for further investigation.
• Meta – Analysis : Meta-analyses combine data from multiple studies to provide a comprehensive overview of research findings, assess the magnitude of effects, and identify trends or patterns across studies.
• Historical Research : Historians utilize secondary sources such as archival documents, historical texts, and scholarly publications to analyze past events, trends, and social phenomena.
• Theoretical Studies: Scholars use secondary research to develop and critique theoretical frameworks, test hypotheses, and contribute to the theoretical foundations of their disciplines.

Benefits of Secondary Research in Academia:

• Provides a comprehensive understanding of existing knowledge and research trends.
• Helps identify gaps in the literature and areas for further investigation.
• Supports the development of theoretical frameworks and research hypotheses.
• Facilitates interdisciplinary collaborations and knowledge exchange.

Secondary Research In Market Analysis

In market analysis, secondary research plays a critical role in gathering market data, assessing industry trends, and understanding consumer behavior. Market research reports, competitor analysis, trend tracking, and consumer insights derived from secondary data sources inform strategic decision-making and drive business success.

• Market Research Reports : Analysts use secondary data sources such as market research reports, industry publications, and government statistics to assess market size, trends, consumer behavior, and competitive landscapes.
• Competitor Analysis : Companies analyze secondary data on competitors’ products, pricing strategies, marketing campaigns, and customer feedback to identify strengths, weaknesses, opportunities, and threats in the market.
• Trend Analysis : Market analysts track industry trends, technological advancements, regulatory changes, and macroeconomic indicators using secondary data to anticipate market shifts and inform strategic decision-making.
• Consumer Insights : Secondary research provides insights into consumer preferences, demographics, purchasing behaviors, and market segmentation, helping businesses tailor their products and services to meet customer needs.

Benefits of Secondary Research in Market Analysis:

• Offers cost-effective access to a wide range of market data and insights.
• Helps businesses understand market dynamics, competitive landscapes, and consumer trends.
• Supports evidence-based decision-making and strategic planning.
• Enables companies to anticipate market opportunities and mitigate risks.

Advantages And Disadvantages Of Secondary Research

Secondary research offers numerous benefits for researchers across various fields. It provides a cost-effective and time-efficient means of accessing a diverse range of data sources, validating findings, and generating new insights. Below are the key advantages and disadvantages of secondary research:

Advantages Of Secondary Research

While this article has touched on a few of these benefits previously, let’s revisit and delve into some specific advantages once more.

• Cost – Effectiveness : By utilizing existing data sources, secondary research eliminates the need for expensive data collection methods, making it a cost-effective option for researchers with limited budgets.
• Time Efficiency : Secondary research saves valuable time by providing quick access to a wealth of information, bypassing the lengthy process of primary data collection and analysis.
• Access to Diverse Data Sources : Researchers can access a wide range of data sources, including academic journals, government reports, industry publications, and online databases, allowing for comprehensive literature reviews and validation of findings from multiple perspectives.
• Validation of Findings : Secondary research enables researchers to validate their findings by comparing and contrasting results across different studies and datasets, enhancing the credibility and robustness of research outcomes.
• Exploratory Insights : Secondary research can uncover new insights and hypotheses for further exploration, contributing to the generation of novel research questions and directions within various fields of study.

Disadvantages Of Secondary Research

Despite its advantages, secondary research also presents certain limitations and challenges that researchers need to consider. Below are the key disadvantages of secondary research:

• Limited Control Over Data Quality : Researchers have limited control over the quality and reliability of secondary data sources, which may be outdated, incomplete, or biased, leading to potential inaccuracies in research findings.
• Potential for Biases : Secondary data sources may be subject to biases introduced by the original data collectors or authors, such as publication bias, selection bias, and reporting bias, which can distort research findings and affect the validity of conclusions.
• Data Availability and Accessibility : Some secondary data sources may be inaccessible or proprietary, requiring researchers to rely on publicly available datasets or pay for access to certain information, which may limit the scope and depth of research studies.
• Lack of Contextual Information : Secondary data often lacks detailed documentation about data collection methods, sample characteristics, and measurement instruments, making it challenging for researchers to interpret findings accurately and draw meaningful conclusions.
• Incompatibility of Data Sources : Integrating data from multiple sources with varying formats, definitions, and measurement scales can pose challenges for researchers, leading to inconsistencies and data integration issues that require careful validation of results.

Secondary Research Best Practices

• Define Clear Objectives : Clearly define your research objectives and questions to guide your secondary research process. This ensures focus and clarity when selecting relevant data sources and methodologies.
• Select Reliable Data Sources : Choose reputable and reliable sources for your secondary research, such as peer-reviewed journals, government reports, and reputable databases. Verify the credibility and validity of sources to ensure the quality of your data.
• Use Multiple Sources : Utilize multiple data sources to triangulate findings and validate results. Combining diverse sources enhances the robustness and reliability of your research outcomes.
• Conduct Comprehensive Literature Reviews : Thoroughly search and review existing literature related to your research topic. A comprehensive literature review helps identify gaps, trends, and key insights to inform your study.
• Document Your Process : Keep detailed records of your secondary research process, including search strategies, data sources, and selection criteria. Transparent documentation ensures reproducibility and enhances the credibility of your research.
• Evaluate Data Quality : Assess the quality and reliability of secondary data sources, considering factors such as relevance, currency, accuracy, and methodological rigor. Scrutinize potential biases and limitations in the data to mitigate risks.
• Critically Analyze Findings : Critically analyze and interpret secondary research findings, considering the context, assumptions, and limitations of the data. Exercise caution in drawing conclusions and avoid overgeneralization or misinterpretation.
• Synthesize and Summarize Insights : Synthesize key insights from your secondary research findings and present them in a clear and concise manner. Summarize relevant trends, patterns, and implications to inform decision-making and further research.
• Acknowledge Sources Appropriately : Properly cite and acknowledge the sources of your secondary research data to uphold academic integrity and avoid plagiarism. Follow citation guidelines and provide clear references for all borrowed information.
• Stay Ethical : Adhere to ethical principles in conducting secondary research, including respect for intellectual property rights, confidentiality of data, and transparency in reporting methods and findings. Maintain integrity and professionalism throughout the research process.

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How To Do Secondary Research or a Literature Review

What is secondary research, why is secondary research important.

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Secondary research, also known as a literature review , preliminary research , historical research , background research , desk research , or library research , is research that analyzes or describes prior research. Rather than generating and analyzing new data, secondary research analyzes existing research results to establish the boundaries of knowledge on a topic, to identify trends or new practices, to test mathematical models or train machine learning systems, or to verify facts and figures. Secondary research is also used to justify the need for primary research as well as to justify and support other activities. For example, secondary research may be used to support a proposal to modernize a manufacturing plant, to justify the use of newly a developed treatment for cancer, to strengthen a business proposal, or to validate points made in a speech.

Because secondary research is used for so many purposes in so many settings, all professionals will be required to perform it at some point in their careers. For managers and entrepreneurs, regardless of the industry or profession, secondary research is a regular part of worklife, although parts of the research, such as finding the supporting documents, are often delegated to juniors in the organization. For all these reasons, it is essential to learn how to conduct secondary research, even if you are unlikely to ever conduct primary research.

Secondary research is also essential if your main goal is primary research. Research funding is obtained only by using secondary research to show the need for the primary research you want to conduct. In fact, primary research depends on secondary research to prove that it is indeed new and original research and not just a rehash or replication of somebody else’s work.

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Secondary Research Advantages, Limitations, and Sources

Summary: secondary research should be a prerequisite to the collection of primary data, but it rarely provides all the answers you need. a thorough evaluation of the secondary data is needed to assess its relevance and accuracy..

5 minutes to read. By author Michaela Mora on January 25, 2022 Topics: Relevant Methods & Tips , Business Strategy , Market Research

Secondary research is based on data already collected for purposes other than the specific problem you have. Secondary research is usually part of exploratory market research designs.

The connection between the specific purpose that originates the research is what differentiates secondary research from primary research. Primary research is designed to address specific problems. However, analysis of available secondary data should be a prerequisite to the collection of primary data.

Advantages of Secondary Research

Secondary data can be faster and cheaper to obtain, depending on the sources you use.

Secondary research can help to:

• Answer certain research questions and test some hypotheses.
• Formulate an appropriate research design (e.g., identify key variables).
• Interpret data from primary research as it can provide some insights into general trends in an industry or product category.
• Understand the competitive landscape.

Limitations of Secondary Research

The usefulness of secondary research tends to be limited often for two main reasons:

Lack of relevance

Secondary research rarely provides all the answers you need. The objectives and methodology used to collect the secondary data may not be appropriate for the problem at hand.

Given that it was designed to find answers to a different problem than yours, you will likely find gaps in answers to your problem. Furthermore, the data collection methods used may not provide the data type needed to support the business decisions you have to make (e.g., qualitative research methods are not appropriate for go/no-go decisions).

Lack of Accuracy

Secondary data may be incomplete and lack accuracy depending on;

• The research design (exploratory, descriptive, causal, primary vs. repackaged secondary data, the analytical plan, etc.)
• Sampling design and sources (target audiences, recruitment methods)
• Data collection method (qualitative and quantitative techniques)
• Analysis point of view (focus and omissions)
• Reporting stages (preliminary, final, peer-reviewed)
• Rate of change in the studied topic (slowly vs. rapidly evolving phenomenon, e.g., adoption of specific technologies).
• Lack of agreement between data sources.

Criteria for Evaluating Secondary Research Data

Before taking the information at face value, you should conduct a thorough evaluation of the secondary data you find using the following criteria:

• Purpose : Understanding why the data was collected and what questions it was trying to answer will tell us how relevant and useful it is since it may or may not be appropriate for your objectives.
• Methodology used to collect the data : Important to understand sources of bias.
• Accuracy of data: Sources of errors may include research design, sampling, data collection, analysis, and reporting.
• When the data was collected : Secondary data may not be current or updated frequently enough for the purpose that you need.
• Content of the data : Understanding the key variables, units of measurement, categories used and analyzed relationships may reveal how useful and relevant it is for your purposes.
• Source reputation : In the era of purposeful misinformation on the Internet, it is important to check the expertise, credibility, reputation, and trustworthiness of the data source.

Secondary Research Data Sources

Compared to primary research, the collection of secondary data can be faster and cheaper to obtain, depending on the sources you use.

Secondary data can come from internal or external sources.

Internal sources of secondary data include ready-to-use data or data that requires further processing available in internal management support systems your company may be using (e.g., invoices, sales transactions, Google Analytics for your website, etc.).

Prior primary qualitative and quantitative research conducted by the company are also common sources of secondary data. They often generate more questions and help formulate new primary research needed.

However, if there are no internal data collection systems yet or prior research, you probably won’t have much usable secondary data at your disposal.

External sources of secondary data include:

• Published materials
• External databases
• Syndicated services.

Published Materials

Published materials can be classified as:

• General business sources: Guides, directories, indexes, and statistical data.
• Government sources: Census data and other government publications.

External Databases

In many industries across a variety of topics, there are private and public databases that can bed accessed online or by downloading data for free, a fixed fee, or a subscription.

These databases can include bibliographic, numeric, full-text, directory, and special-purpose databases. Some public institutions make data collected through various methods, including surveys, available for others to analyze.

Syndicated Services

These services are offered by companies that collect and sell pools of data that have a commercial value and meet shared needs by a number of clients, even if the data is not collected for specific purposes those clients may have.

Syndicated services can be classified based on specific units of measurements (e.g., consumers, households, organizations, etc.).

The data collection methods for these data may include:

• Surveys (Psychographic and Lifestyle, advertising evaluations, general topics)
• Household panels (Purchase and media use)
• Electronic scanner services (volume tracking data, scanner panels, scanner panels with Cable TV)
• Audits (retailers, wholesalers)
• Direct inquiries to institutions
• Clipping services tracking PR for institutions
• Corporate reports

You can spend hours doing research on Google in search of external sources, but this is likely to yield limited insights. Books, articles journals, reports, blogs posts, and videos you may find online are usually analyses and summaries of data from a particular perspective. They may be useful and give you an indication of the type of data used, but they are not the actual data. Whenever possible, you should look at the actual raw data used to draw your own conclusion on its value for your research objectives. You should check professionally gathered secondary research.

Here are some external secondary data sources often used in market research that you may find useful as starting points in your research. Some are free, while others require payment.

• Pew Research Center : Reports about the issues, attitudes, and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis, and other empirical social science research.
• Data.Census.gov : Data dissemination platform to access demographic and economic data from the U.S. Census Bureau.
• Data.gov : The US. government’s open data source with almost 200,00 datasets ranges in topics from health, agriculture, climate, ecosystems, public safety, finance, energy, manufacturing, education, and business.
• Google Scholar : A web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.
• Google Public Data Explorer : Makes large, public-interest datasets easy to explore, visualize and communicate.
• Google News Archive : Allows users to search historical newspapers and retrieve scanned images of their pages.
• Mckinsey & Company : Articles based on analyses of various industries.
• Statista : Business data platform with data across 170+ industries and 150+ countries.
• Claritas : Syndicated reports on various market segments.
• Mintel : Consumer reports combining exclusive consumer research with other market data and expert analysis.
• MarketResearch.com : Data aggregator with over 350 publishers covering every sector of the economy as well as emerging industries.
• Packaged Facts : Reports based on market research on consumer goods and services industries.
• Dun & Bradstreet : Company directory with business information.

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• What is secondary research: Definition, methods and examples

Defne Çobanoğlu

When there is a need to gather data on a specific subject, there is more than one method to go with. Let us say you want to do general market research or you want to know how certain individuals react to a type of advertisement. You can do your secondary market research by conducting simple secondary research following pre-determined steps.

That means, instead of doing a study and extensive research to obtain information, you go through existing published documents and databases. That will help you save precious time, money, and workforce as you analyze different sources that can hand you the information. Let us find out more about secondary research and what is different from primary research.

• Let’s start with the basics: What is secondary research?

Secondary research is a type of research where you gather the data collected by other researchers and educational institutions . Some examples of secondary research sources are books, academic journals, reports, online databases, and news articles. 

When conducting secondary research, it is crucial to critically evaluate the quality and relevance of the sources used and to consider any potential biases or irrelevancies of the data. It may be faster and easier to obtain, but you also need to make sure the results are up-to-date and accurate.

• Primary vs. secondary research

Primary research and secondary research are two different types of research. The main difference is in the source you gather the information from . Basically, when you conduct primary research, you get the data from the primary sources directly. You conduct surveys, do interviews, and manage focus groups or observations to get the information you want.

On the other hand, secondary research gets information from different data sources. These sources can be published books, articles, reports, databases, or any other sources of pre-existing data. 

Primary research is more reliable, but it is more costly and time-consuming. And Secondary research may not provide as much accuracy, but it is cheaper, quicker, and requires fewer sources. So, the method you want to go with depends on your external sources and budget.

Secondary research methods (& examples)

Secondary research is a great way of gathering information when working on a budget. It allows you to analyze existing data. There are multiple methods you can use for your secondary research. Once you know what you want to determine from your research, you can go through possible methods to find the most suitable one. Now, let us see different secondary research methods and some examples to understand them better!

1 - Collecting data from the internet

Using the endless world of the internet is one of the most used methods. It allows expanding in different parts of the world from the comfort of your chair. There are many sources you can find that are free of charge or quite reasonable. However, you should always check the authenticity of the information to ensure they are accurate.

When you want to see the effect of different colors, placements, and keywords on your next big advertisement, you can go to Google Scholar and ResearchGate. They are two of the great sources that provide previous research and look up case studies. After looking up appropriate research done on the subject, you can conclude a final result.

2 - Reviewing of government publication

This method involves accessing and reviewing government publications, such as reports or statistics, that are publicly available. You may need to pay a sum to access these publications, or they may be classified information with no access to them. They allow you to get data on a big area of subjects.

Let us say you want to expand to a new region as a possible market, and you want to know details about the people living in the area. You can look up census details of the country or town. The sites you can search are U.S. Census Bureau or UK Office for National Statistics .

3 - Doing library research

This involves researching literature, reports, and other sources in a public or private library. Academic papers, business directories, newsletters , annual reports, and other similar documents are gathered and stored in libraries in both soft and hard copies. 

When you want to see the historical views of people on a particular topic, you can conduct a literature review on the subject. For instance, if you choose a topic on sociology, you can gather all published documents on the subject of your choosing and get a result from them.

• Key steps to conduct secondary research

Secondary research involves a systematic and thorough approach to gathering and analyzing data from existing sources. One should follow these effective steps to ensure that resources are being used most efficiently. After reviewing the sources and finding the material you are after, the results can be used in decision-making and support research objectives.

1 - Define your research question or problem

When you want to start your secondary research, the first step is clearly defining your research question or problem. That way, you can identify the key information you need to gather and the relevant sources to use.

2 - Identify relevant sources

Once you have determined your research question, you need to specify the relevant sources of data and information. This may include academic journals, books, government reports, industry publications, online databases, and news articles.

3 - Evaluate the quality of the sources

It is essential to check the quality of the sources you want to use to make sure that they are up-to-date, accurate, and relevant to your research. Look for reliable sources and consider factors such as the publication date, the author's credentials, and any potential biases.

4 - Collect and analyze the data

Once you have decided on the relevant sources to work with, you can start collecting the data. This may involve taking notes, summarizing key findings, and gathering the information to draw conclusions.

5 - Interpret the data

After collecting and analyzing the data, you need to interpret the findings and draw conclusions. Consider how the information relates to your research question, and identify any patterns, trends, or gaps in the data. You may create charts, graphs, or other visual aids to help you present the data in a clear way.

• Advantages and disadvantages of secondary research

Now, we know the methods of secondary research and what exactly differentiates it from primary research. But what are the advantages and disadvantages of it? Firstly, secondary research is easily accessible as the data is already available and often involves a large sample size, which can increase the reliability and validity of the findings. Additionally, it is cost-effective and time-saving . 

When it comes to the disadvantages of secondary research, the first thing that comes to mind is the fact that the data may not always be reliable , and credibility evaluation must be performed. In addition to this, even if the data is reliable, it may not be up to date . Outdated information may do more harm than good. Lastly, the original research could be biased , which would affect the result.

In conclusion, secondary research can be a useful tool for gathering information and insights for various research projects. It is an effective method of research that has its advantages. However, researchers should carefully evaluate the quality and relevance of the data and information gathered.

There are useful online applications that can help with projects and a great one of them is forms.app! forms.app is an all-in-one type online tool that can help with research purposes and much more. Be sure to check it out today!

Defne is a content writer at forms.app. She is also a translator specializing in literary translation. Defne loves reading, writing, and translating professionally and as a hobby. Her expertise lies in survey research, research methodologies, content writing, and translation.

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What is secondary analysis? A comprehensive overview

Last updated

16 August 2024

Reviewed by

Miroslav Damyanov

Within your projects and initiatives, you can leverage secondary analysis, like case studies, census data, or past clinical trials, to accelerate growth and innovation. But there’s more to understand when peeling back this onion.

Building on the idea of leveraging existing work, we’ll provide a comprehensive overview of what secondary analysis really is, including its applications in various fields and its advantages and disadvantages. You’ll also discover the most effective ways to incorporate it into your projects.

• What is secondary data analysis?

Secondary analysis is any form of research that relies on or uses previously conducted research for the purposes of a new study. If existing data is cited or previously conducted studies help to achieve a new outcome, it’s secondary analysis.

It happens quite often, especially when researchers use quantitative or qualitative data that has been gathered previously and analyze it in a new way. The secondary data in these instances is often published or made available publicly with permission to cite and use it

• Why is secondary data analysis important?

Secondary data analysis is important for innovation. It can serve as a historical reference to studies of yesterday.

This kind of previously summarized data, usually written by other parties, can be great for reaffirming a similar result or finding you may have. It’s also where you can find commentary or analysis of the steps taken before you’re on the scene.

Secondary analysis is important because it can accelerate your research by providing reliable springboards from previous research. This allows you to pick up where someone else left off in the field.

Imagine you’re studying a local population or community demographic. In this case, turning to the latest census data will be more useful than conducting your own headcount. Even simpler: if you’re making a cake from scratch, it’s a good thing you don’t have to churn your own butter to complete the recipe. You get the idea. But there’s more to secondary analysis than just census and cake.

• Types of secondary research

Imagine all the libraries of studies and the internet’s access to peer reviews, case studies, statistics, and data. Think about how much data is out there. A lot! However, it won’t all be useful in your studies or projects. This is why it’s best to understand the categories and types of secondary research. From there, you can narrow your focus to the data and research that best applies to your work.

Statistical analysis

A collection of thousands of data points is combined with the intention of discovering new insights. And those statistics are applied to every corner of business, government, health, and science.

This type of secondary analysis is great for drawing new insights, testing new hypotheses, and validating new findings. We rely on statistics to help us identify areas of improvement and avoid mistakes every day.

Literature reviews

Think of these as published pieces of information within a particular segment or subject area.

The primary purpose of any literature review is to provide a multifaceted and comprehensive overview of current knowledge, identify gaps, and establish a theoretical framework for further research.

Sometimes, literature reviews are part of a topic within a specific time period. Researchers can present them as an in-depth analysis or just a simple source summary.

Case studies

Case studies are more in-depth analyses of a person, group, or specific event.

In secondary research, you’ll look for existing case study reports, published papers, and documented instances to gather and analyze data. These studies can provide comprehensive insights into specific phenomena, processes, or practices.

Nearly every aspect of the topic is explored, highlighting challenges, solutions, how those solutions are applied, and final outcomes. They can prove or disprove a theory but typically serve as a demonstrative piece of evidence or analysis.

Content analysis

Content analysis is, as it sounds, the study of certain phrases, words, or themes within a body of qualitative data.

This type of secondary analysis provides context so you can analyze particular relationships between words, meanings, or concepts. It’s a type of secondary research that involves examining and interpreting pre-existing material to uncover patterns, trends, and insights.

• Advantages of conducting secondary data analysis

Starting your research from an advanced position of knowledge gives you an advantage. Secondary data analysis presents many benefits, regardless of the topic or information you’re exploring.

Cost-effectiveness

Secondary analytics are cost-effective. Since studies and data already exist, you don’t have to repeat certain tests or steps, alleviating costs without compromising your findings. You’ll gain access to high-level data that might be too cost-prohibitive to perform independently.

It can also be cost-saving in exploratory research. It’s helpful to gain valuable preliminary or exploratory research first to refine your hypothesis before committing to primary data collection.

Time-saving

Someone else may have already invested in the study, producing findings and data you can readily use within your research and saving you time.

Being able to access large datasets, which are typically extensive and robust, provides researchers with a wealth of information that would otherwise be too time-consuming or difficult to gather independently.

Ability to answer additional research questions

Within the scope of your project or research, there will be questions you can’t answer first-hand. Using secondary analysis allows you to answer those additional research questions using pre-existing findings or results.

You can also analyze old longitudinal data and still find new trends, theories, or applications. Enabling longitudinal studies can also help you track changes and trends over time.

• Disadvantages of secondary data analysis

You can’t run your business and projects entirely by piggybacking on secondary data alone. There are some disadvantages to relying solely on analysis that has already been published.

Data quality concerns

You weren’t “there.” You weren’t part of the study or model behind the secondary analysis, so there’s a risk that mistakes were present or findings weren’t entirely accurate. You’ll need to verify that the sources aren’t citing outdated information or presenting original data with bias.

Relevance is another potential issue. Some data might be outdated or not reflective of current conditions, especially in rapidly changing fields or industries. These concerns about data quality could be problematic for your new research project or objective.

Data accessibility

Access to certain secondary data sources may be restricted, require payment, or come with usage limitations. Statista and Deloitte, for example, provide high-quality reports, but some are only accessible after payment.

Also, some academic articles may require a subscription or an account affiliated with a higher education institution.

Need to de-identify information

When you incorporate secondary analysis into your project, you’ll need to remove identifiers from the original source. For example, de-identified patient data won’t have specifics about the patient’s personal information.

• How to carry out secondary data analysis

Follow this simple roadmap for carrying out your own secondary analysis study.

1. Identify and define the research topic

The first step is recognizing the goal of the project or question you’re attempting to answer. Define your research topic in a way that provides clarity for the datasets you’ll need to collect.

2. Find research and existing data sources

Consider which data sources exist that might present the findings you need to help answer your question.

Start digging through reputable sources within relevant timelines to explore what data already exists. These might include academic databases, government records, organizational reports, and online repositories.

3. Begin searching and collecting the existing data

With an idea of what types of secondary analysis will offer the best data for your project, start searching for relevant studies and collect those that might help. Collect several sets of metrics and analyses to inform your analysis.

4. Combine the data and compare the results

When you feel you’ve collected the right studies, you can begin combining your findings and comparing results.

Before you get started, you might have to “clean” the data, handle missing values, or merge datasets from different sources.

Look for trends and common themes or results. Verify if outlier statistics are anomalies or valuable to your study.

5. Analyze your data and explore further

Analyze your collected data through the lens of market research. Look to determine what the data shows, ensure it makes sense, and connect the dots to reach your original goal.

Use appropriate statistical or qualitative analysis methods to examine your data. For you, that might involve descriptive statistics, inferential statistics, or thematic analysis, depending on the nature of the data and your research questions.

• Sources of secondary research

With literally thousands of websites and research at your fingertips, you can find relevant secondary research sources practically anywhere. You might also locate research from both internal and external sources.

Internal data

As a company, you can look for internal secondary data to help you reach the answers you’re looking for. Here are some examples:

Historical sales reporting

Website analytics from previous years

Past employee training and testing results

News articles

Internal conversations

Customer databases

Internal communications records

Financial reports

External data

Look outside your company for similar reports other companies may have already executed. Trust industry-specific sources on the web as well as municipal or non-profit studies that may also lend credibility to your work.

Academic journals, public databases, industry reports, trade publications, and government agencies can all be valuable resources for secondary data. Here are some examples:

Springer Nature

Census.gov/data

Demographics Now

Which is better, primary or secondary analysis?

Most of the best innovations and research initiatives are served by both primary and secondary research analysis.

Don’t look at one or the other. Instead, harness both for the most impactful research. Springboard from the work of others and use secondary research to bridge gaps in your efforts. Then, conduct your primary research to deep dive into those arenas, combining both for the most thorough investigation.

What are some use-case examples of secondary analysis?

Secondary analysis is more common than you might realize. You may have used it before without realizing it.

Here are some use case examples of secondary analysis used across business applications, research and development, learning, healthcare, and more.

A grad student expands on an advisor’s research to contribute to a thesis.

A data analyst uses their own data to run additional reports.

A researcher uses new software to further explore historical reporting.

An entrepreneur studies demographic information to create more effective marketing personas.

A school principal uses nationwide studies to inform curriculum development.

A digital marketing specialist uses site metrics to outline areas of improvement for user experiences.

How can you be sure to remove bias from secondary analysis?

As a researcher, be sure to evaluate the data you source to make sure it’s accurate, timely, and reputable. Before applying any secondary analysis, remove bias by answering the following questions about the source:

What was the secondary study’s original purpose?

Who collected the original data? (credentials)

What data was collected and when?

What were the methods used and dataset limitations at the time?

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Primary vs Secondary Research: Differences, Methods, Sources, and More

Table of Contents

Primary vs Secondary Research – What’s the Difference?

In the search for knowledge and data to inform decisions, researchers and analysts rely on a blend of research sources. These sources are broadly categorized into primary and secondary research, each serving unique purposes and offering different insights into the subject matter at hand. But what exactly sets them apart?

Primary research is the process of gathering fresh data directly from its source. This approach offers real-time insights and specific information tailored to specific objectives set by stakeholders. Examples include surveys , interviews, and observational studies.

Secondary research , on the other hand, involves the analysis of existing data, most often collected and presented by others. This type of research is invaluable for understanding broader trends, providing context, or validating hypotheses. Common sources include scholarly articles, industry reports, and data compilations.

The crux of the difference lies in the origin of the information: primary research yields firsthand data which can be tailored to a specific business question, whilst secondary research synthesizes what's already out there. In essence, primary research listens directly to the voice of the subject, whereas secondary research hears it secondhand .

When to Use Primary and Secondary Research

Selecting the appropriate research method is pivotal and should be aligned with your research objectives. The choice between primary and secondary research is not merely procedural but strategic, influencing the depth and breadth of insights you can uncover.

Primary research shines when you need up-to-date, specific information directly relevant to your study. It's the go-to for fresh insights, understanding consumer behavior, or testing new theories. Its bespoke nature makes it indispensable for tailoring questions to get the exact answers you need.

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Secondary research is your first step into the research world. It helps set the stage by offering a broad understanding of the topic. Before diving into costly primary research, secondary research can validate the need for further investigation or provide a solid background to build upon. It's especially useful for identifying trends, benchmarking, and situating your research within the existing body of knowledge.

Combining both methods can significantly enhance your research. Starting with secondary research lays the groundwork and narrows the focus, whilst subsequent primary research delves deep into specific areas of interest, providing a well-rounded, comprehensive understanding of the topic.

Primary vs Secondary Research Methods

In the landscape of market research , the methodologies employed can significantly influence the insights and conclusions drawn. Let's delve deeper into the various methods underpinning both primary and secondary research, shedding light on their unique applications and the distinct insights they offer.

Primary Research Methods:

• Surveys: Survey research is a cornerstone of primary research, offering a quantitative approach to gathering data directly from the target audience. By employing structured questionnaires, researchers can collect a vast array of data ranging from customer preferences to behavioral patterns. This method is particularly valuable for acquiring statistically significant data that can inform decision-making processes and strategy development. The application of statistical approaches for analysing this data, such as key drivers analysis, MaxDiff or conjoint analysis can also further enhance any collected data.
• One on One Interviews: Interviews provide a qualitative depth to primary research, allowing for a nuanced exploration of participants' attitudes, experiences, and motivations. Conducted either face-to-face or remotely, interviews enable researchers to delve into the complexities of human behavior, offering rich insights that surveys alone may not uncover. This method is instrumental in exploring new areas of research or obtaining detailed information on specific topics.
• Focus Groups: Focus groups bring together a small, diverse group of participants to discuss and provide feedback on a particular subject, product, or idea. This interactive setting fosters a dynamic exchange of ideas, revealing consumers' perceptions, experiences, and preferences. Focus groups are invaluable for testing concepts, exploring market trends, and understanding the factors that influence consumer decisions.
• Ethnographic Studies: Ethnographic studies involve the systematic watching, recording, and analysis of behaviors and events in their natural setting. This method offers an unobtrusive way to gather authentic data on how people interact with products, services, or environments, providing insights that can lead to more user-centered design and marketing strategies.

Secondary Research Methods:

• Literature Reviews: Literature reviews involve the comprehensive examination of existing research and publications on a given topic. This method enables researchers to synthesize findings from a range of sources, providing a broad understanding of what is already known about a subject and identifying gaps in current knowledge.
• Meta-Analysis: Meta-analysis is a statistical technique that combines the results of multiple studies to arrive at a comprehensive conclusion. This method is particularly useful in secondary research for aggregating findings across different studies, offering a more robust understanding of the evidence on a particular topic.
• Content Analysis: Content analysis is a method for systematically analyzing texts, media, or other content to quantify patterns, themes, or biases . This approach allows researchers to assess the presence of certain words, concepts, or sentiments within a body of work, providing insights into trends, representations, and societal norms. This can be performed across a range of sources including social media, customer forums or review sites.
• Historical Research: Historical research involves the study of past events, trends, and behaviors through the examination of relevant documents and records. This method can provide context and understanding of current trends and inform future predictions, offering a unique perspective that enriches secondary research.

Each of these methods, whether primary or secondary, plays a crucial role in the mosaic of market research, offering distinct pathways to uncovering the insights necessary to drive informed decisions and strategies.

Primary vs Secondary Sources in Research

Both primary and secondary sources of research form the backbone of the insight generation process, when both are utilized in tandem it can provide the perfect steppingstone for the generation of real insights. Let’s explore how each category serves its unique purpose in the research ecosystem.

Primary Research Data Sources

Primary research data sources are the lifeblood of firsthand research, providing raw, unfiltered insights directly from the source. These include:

• Customer Satisfaction Survey Results: Direct feedback from customers about their satisfaction with a product or service. This data is invaluable for identifying strengths to build on and areas for improvement and typically renews each month or quarter so that metrics can be tracked over time.
• NPS Rating Scores from Customers: Net Promoter Score (NPS) provides a straightforward metric to gauge customer loyalty and satisfaction. This quantitative data can reveal much about customer sentiment and the likelihood of referrals.
• Ad-hoc Surveys: Ad-hoc surveys can be about any topic which requires investigation, they are typically one off surveys which zero in on one particular business objective. Ad-hoc projects are useful for situations such as investigating issues identified in other tracking surveys, new product development, ad testing, brand messaging, and many other kinds of projects.
• A Field Researcher’s Notes: Detailed observations from fieldwork can offer nuanced insights into user behaviors, interactions, and environmental factors that influence those interactions. These notes are a goldmine for understanding the context and complexities of user experiences.
• Recordings Made During Focus Groups: Audio or video recordings of focus group discussions capture the dynamics of conversation, including reactions, emotions, and the interplay of ideas. Analyzing these recordings can uncover nuanced consumer attitudes and perceptions that might not be evident in survey data alone.

These primary data sources are characterized by their immediacy and specificity, offering a direct line to the subject of study. They enable researchers to gather data that is specifically tailored to their research objectives, providing a solid foundation for insightful data analysis and strategic decision-making.

Secondary Research Data Sources

In contrast, secondary research data sources offer a broader perspective, compiling and synthesizing information from various origins. These sources include:

• Books, Magazines, Scholarly Journals: Published works provide comprehensive overviews, detailed analyses, and theoretical frameworks that can inform research topics, offering depth and context that enriches primary data.
• Market Research Reports: These reports aggregate data and analyses on industry trends, consumer behavior, and market dynamics, providing a macro-level view that can guide primary research directions and validate findings.
• Government Reports: Official statistics and reports from government agencies offer authoritative data on a wide range of topics, from economic indicators to demographic trends, providing a reliable basis for secondary analysis.
• White Papers, Private Company Data: White papers and reports from businesses and consultancies offer insights into industry-specific research, best practices, and market analyses. These sources can be invaluable for understanding the competitive landscape and identifying emerging trends.

Secondary data sources serve as a compass, guiding researchers through the vast landscape of information to identify relevant trends, benchmark against existing data, and build upon the foundation of existing knowledge. They can significantly expedite the research process by leveraging the collective wisdom and research efforts of others.

By adeptly navigating both primary and secondary sources, researchers can construct a well-rounded research project that combines the depth of firsthand data with the breadth of existing knowledge. This holistic approach ensures a comprehensive understanding of the research topic, fostering informed decisions and strategic insights.

Examples of Primary and Secondary Research in Marketing

In the realm of marketing, both primary and secondary research methods play critical roles in understanding market dynamics, consumer behavior, and competitive landscapes. By comparing examples across both methodologies, we can appreciate their unique contributions to strategic decision-making.

Example 1: New Product Development

Primary Research: Direct Consumer Feedback through Surveys and Focus Groups

• Objective: To gauge consumer interest in a new product concept and identify preferred features.
• Process: Surveys distributed to a target demographic to collect quantitative data on consumer preferences, and focus groups conducted to dive deeper into consumer attitudes and desires.
• Insights: Direct insights into consumer needs, preferences for specific features, and willingness to pay. These insights help in refining product design and developing a targeted marketing strategy.

Secondary Research: Market Analysis Reports

• Objective: To understand the existing market landscape, including competitor products and market trends.
• Process: Analyzing published market analysis reports and industry studies to gather data on market size, growth trends, and competitive offerings.
• Insights: Provides a broader understanding of the market, helping to position the new product strategically against competitors and align it with current trends.

Example 2: Brand Positioning

Primary Research: Brand Perception Analysis through Surveys

• Objective: To understand how the brand is perceived by consumers and identify potential areas for repositioning.
• Process: Conducting surveys that ask consumers to describe the brand in their own words, rate it against various attributes, and compare it to competitors.
• Insights: Direct feedback on brand strengths and weaknesses from the consumer's perspective, offering actionable data for adjusting brand messaging and positioning.

Secondary Research: Social Media Sentiment Analysis

• Objective: To analyze public sentiment towards the brand and its competitors.
• Process: Utilizing software tools to analyze mentions, hashtags, and discussions related to the brand and its competitors across social media platforms.
• Insights: Offers an overview of public perception and emerging trends in consumer sentiment, which can validate findings from primary research or highlight areas needing further investigation.

Example 3: Market Expansion Strategy

Primary Research: Consumer Demand Studies in New Markets

• Objective: To assess demand and consumer preferences in a new geographic market.
• Process: Conducting surveys and interviews with potential consumers in the target market to understand their needs, preferences, and cultural nuances.
• Insights: Provides specific insights into the new market’s consumer behavior, preferences, and potential barriers to entry, guiding market entry strategies.

Secondary Research: Economic and Demographic Analysis

• Objective: To evaluate the economic viability and demographic appeal of the new market.
• Process: Reviewing existing economic reports, demographic data, and industry trends relevant to the target market.
• Insights: Offers a macro view of the market's potential, including economic conditions, demographic trends, and consumer spending patterns, which can complement insights gained from primary research.

By leveraging both primary and secondary research, marketers can form a comprehensive understanding of their market, consumers, and competitors, facilitating informed decision-making and strategic planning. Each method brings its strengths to the table, with primary research offering direct consumer insights and secondary research providing a broader context within which to interpret those insights.

What Are the Pros and Cons of Primary and Secondary Research?

When it comes to market research, both primary and secondary research offer unique advantages and face certain limitations. Understanding these can help researchers and businesses make informed decisions on which approach to utilize for their specific needs. Below is a comparative table highlighting the pros and cons of each research type.

Navigating the Pros and Cons

• Balance Your Research Needs: Consider starting with secondary research to gain a broad understanding of the subject matter, then delve into primary research for specific, targeted insights that are tailored to your precise needs.
• Resource Allocation: Evaluate your budget, time, and resource availability. Primary research can offer more specific and actionable data but requires more resources. Secondary research is more accessible but may lack the specificity or recency you need.
• Quality and Relevance: Assess the quality and relevance of available secondary sources before deciding if primary research is necessary. Sometimes, the existing data might suffice, especially for preliminary market understanding or trend analysis.
• Combining Both for Comprehensive Insights: Often, the most effective research strategy involves a combination of both primary and secondary research. This approach allows for a more comprehensive understanding of the market, leveraging the broad perspective provided by secondary sources and the depth and specificity of primary data.

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• Primary vs Secondary Research Methods: 15 Key Differences

When carrying out a systematic investigation, you can choose to be directly involved in the data collection process or to rely on already acquired information. While the former is described as primary research, the latter is known as secondary research. 

The distinguishing factor between primary research and secondary research is the degree of involvement of the research with the data gathering process . In this article, we’ll be detailing other key differences between primary and secondary research, and also show you how to conduct primary research with Formplus. 

What is Primary Research?

Primary research is a type of research that requires the researcher to participate directly in the data-gathering process. In primary research, the researcher does not depend on already existing data, rather he or she collects first-hand information which serves as research materials for the systematic investigation. 

This type of research gives the researcher absolute ownership of the data which is extremely important for businesses and organisations in fast-paced markets. These organisations utilise primary research to gather valuable information about consumer needs and preferences before launching a new product or service.  

Usually, primary research focuses on the specific needs of the research contexts. However, this type of research is expensive, time-consuming and it usually requires a lot of skilled resources that may not be readily available and this is why many businesses outsource this to 3rd party market research companies. 

What is Secondary Research?

Secondary research is a type of research approach in which the researcher relies solely on existing research materials rather than gather data directly for research. This research approach is less expensive and time-efficient unlike primary research.. 

Data for secondary research can be accessed from the internet, archive, libraries, educational institutions and organisational reports. However, extra care must be taken by the researcher to ensure that the data is valid as this can have a negative impact on the research process and outcomes. 

Differences Between Primary and Secondary Research

Primary research is a research approach that involves gathering data directly while secondary research is a research approach that involves relying on already existing data when carrying out a systematic investigation. 

This means that in primary research, the researcher is directly involved in the data collection and categorization process. In secondary research, on the other hand, the researcher simply depends on existing materials for the research without any need to collect raw information from the field. 

• Sources of Data

Surveys, interviews, focus groups and observation techniques are common sources of data in primary research. In secondary research, the researcher collects existing research materials through a number of sources like the internet, libraries and archives.

These data collection methods require some sort of interaction with the research subjects in order to gather first-hand information that will be useful in the research. Many times,secondary sources are free to access but some of them will require you to pay an access fee before you can make use of the information. 

• Other Names

Secondary research is also known as desk research because it does not necessarily require the researcher to move from one place to another. Meanwhile, primary research is also referred to as a field research design because it requires the researcher to get totally involved with the data collection process.

In secondary research, researchers can easily access information from the comfort of their desk; especially when using the internet to source for research materials. In some cases, the researcher would need to co-exist with the research subjects for a specific period of time in order to get information for the research. 

• Advantages of Primary Research over Secondary Research

Unlike secondary research, primary research gives the researcher 100% ownership of the research data which is extremely useful for organisations in highly competitive markets. Data from secondary research can be accessed by everyone and does not yield any specific benefits to organisations. 

Also, in primary research, the researcher can fully account for the authenticity of the data because he or she is an active participant in the data collection process. Because the researcher is not directly involved in gathering secondary research data, he or she cannot ascertain the authenticity of the research materials. 

• Advantages of Secondary Research over Primary Research.

Unlike primary research that is expensive and time-consuming, secondary research can be completed in limited time and with limited resources. Since the research data already exists, the secondary researcher does not need to invest time or resources to gather first-hand information. 

Also, secondary research helps to prevent knowledge repetition by mapping out already existing research efforts and this helps the primary researcher to concentrate on exploring new areas of knowledge. Hence, it is important for every research effort to begin with secondary research. 

Common tools used to collect data in secondary research include bots, internet-enabled devices like laptops, smartphones and tablets. On the other hand, surveys, questionnaires and interviews are common data gathering tools in primary research.

Secondary research devices help researchers to access sources of secondary data like libraries, archives and peer-reviewed journals; without needing to go to the field.  Primary research tools help the researcher to access first-hand information about the characteristics, dispositions and behaviours of research subjects in line with the context of the systematic investigation.  

Primary research makes use of real-time information while secondary research makes use of past or already existing research materials. During primary research, the research is ultimately concerned with gathering first-hand information about the research subjects and contexts while in secondary research, the researcher simply re-examines existing data. 

Hence, the type of data used in secondary research is described as “past data” because it reflects past occurrences and only provides insights into dealing with present situations. The role of the secondary researcher is primarily to specify how this past data informs his or her current research.

• Research Purpose

The purpose of primary research is to gather real-time data that will be useful in solving a specific problem. On the other hand, the purpose of secondary research is to gather existing research materials that may not directly address the problem at hand. 

The primary research process is carefully tailored towards the specific research problem from start to finish and this is why it relies on first-hand data. Secondary research is not tailored towards solving a specific problem rather, it provides general information that can prove useful for primary research. 

• When to Conduct Primary and Secondary Research

Primary or field research is usually carried out when an individual or organization needs to gather recent data that is useful for a specific research context. When organisations need to gather information on the changing needs of target markets, they typically employ primary research methods. 

Secondary research, on the other hand, is used when the researcher needs to identify existing knowledge that can provide useful insight in research. With this information, the researcher can identify knowledge gaps which would form the core of his or her research efforts. 

• Data Recency

Primary research relies on recent data for its systematic investigation because it addresses present situations. As earlier asserted, primary research efforts are ultimately tailored towards the needs of a specific research context from start to finish;hence, the primary researcher must gather real-time data in order to arrive at relevant research outcomes. 

Secondary research, on the other hand, makes use of past data in an attempt to understand existing research efforts, identify knowledge gaps and map out the recent research to fill these knowledge gaps. This, findings from secondary research do not necessarily apply to specific research contexts.  

• Feasibility

Secondary research is more feasible than primary research. For example, it may be improbable for a company to attempt to observe the buying culture of all the individuals in its target market. 

In this case, the researcher may have to depend on existing research findings that detail the buying culture of the target market. Alternatively, the researcher can use other sampling methods that would help him or her gather feedback from a section of the market. 

Examples of primary research data are student thesis, market research and first-person accounts of trauma survivors while examples of secondary research data include newspapers, books, academic journals and magazines. 

Secondary research data often represent an aggregation of already existing information with little or no additions while primary data contains new information. Usually, primary research collects data from the original source unlike secondary research that relies on reported information. For example, a student who wants to write a thesis would need to either interact with the research subjects in their natural environment or carry out an experiment. 

• Specificity

Primary research is more specific than secondary research because primary research is aimed at addressing issues peculiar to a business, organisation or institution. On the other hand, secondary research that does not cater to the specific needs of an organization. 

For example, when carrying out a primary research on consumer satisfaction for a product, the entirety of the research process is tailored towards the product in question. In secondary research, however, the data collected may not be exactly what the researcher needs. 

In primary research, the researcher has 100% ownership and control over the data and he or she can choose to make such information available to others or not. This means that the primary researcher has absolute discretion over the research materials. 

In secondary research, however, the researcher does not own the data and as such, he or she does not have absolute discretion over it. Secondary research can aptly be described as a “free-for-all” situation because everyone can gain access to the data. 

• Data Accuracy

Data gathered through primary research is more accurate than secondary research data. In primary research, the researcher is fully involved in the data collection process and he or she takes care to collect valid data that can be easily authenticated. 

The secondary researcher, on the other hand, has no control over the data and he or she cannot account for the validity of the research materials. For instance, there is a lot of inaccurate information on the internet which can affect research outcomes when used as the basis of a systematic investigation.  

Similarity between Primary and Secondary Research

Primary and secondary research makes use of quantitative and qualitative data. Quantitative data collection methods such as surveys and questionnaires are used to gather numerical data while qualitative data collection methods like observation are used to gather descriptive data . 

How to Conduct Primary Research with Formplus 

Primary research can be conducted with Formplus using a survey or questionnaire . Here is a step-by-step guide on how to go about this. 

• Sign into Formplus

With Formplus, you can create different types of surveys and questionnaires for primary research. Sign into your Formplus account to access the form builder where you can seamlessly add and modify different form fields for your primary research survey. 

Once you sign in, click on “create new form” to begin. 

In the builder page, you can specify your form title to be “Primary Research Survey” in the title box. Next, click on or drag your desired form fields into your survey form from the builder’s inputs section. 

• Edit fields
• Click on “Save”
• Preview form. 
• Form Customization

In the form customization section in the form builder, you can easily personalize your primary research survey by modifying its outlook to suit your needs. Formplus allows you to change your form theme, add background images and even change the font according to your needs. 

• Multiple Sharing Options

With Formplus, you can easily share your primary research survey with respondents using the available multiple sharing options. You can use the direct social media sharing buttons to share your form link to your organization’s social media pages. 

You can send out your survey form as email invitations to your research subjects too. If you wish, you can share your form’s QR code or embed it in your organization’s website for easy access. 

Conclusion   

Many times, researchers combine primary and secondary data collection methods in order to arrive at the most valid outcomes at the end of a systematic investigation. Usually, they start off with secondary research to effectively map out a relevant scope for their research effort, before proceeding to conduct primary research. 

It is important for you to consider the strengths and weaknesses of secondary and primary research before opting for any of these research methods. More importantly, you should pay attention to the overall aim of your systematic investigation as this is the fundamental determinator for choosing primary or secondary research.

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How to do your dissertation secondary research in 4 steps

(Last updated: 12 May 2021)

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If you are reading this guide, it's very likely you may be doing secondary research for your dissertation, rather than primary. If this is indeed you, then here's the good news: secondary research is the easiest type of research! Congratulations!

In a nutshell, secondary research is far more simple. So simple, in fact, that we have been able to explain how to do it completely in just 4 steps (see below). If nothing else, secondary research avoids the all-so-tiring efforts usually involved with primary research. Like recruiting your participants, choosing and preparing your measures, and spending days (or months) collecting your data.

That said, you do still need to know how to do secondary research. Which is what you're here for. So, go make a decent-sized mug of your favourite hot beverage (consider a glass of water , too) then come back and get comfy.

Here's what we'll cover in this guide:

The basics: What's secondary research all about?

Understanding secondary research, advantages of secondary research, disadvantages of secondary research, methods and purposes of secondary research, types of secondary data, sources of secondary data, secondary research process in 4 steps, step 1: develop your research question(s), step 2: identify a secondary data set, step 3: evaluate a secondary data set, step 4: prepare and analyse secondary data.

To answer this question, let’s first recall what we mean by primary research . As you probably already know, primary research is when the researcher collects the data himself or herself. The researcher uses so-called “real-time” data, which means that the data is collected during the course of a specific research project and is under the researcher’s direct control.

In contrast, secondary research involves data that has been collected by somebody else previously. This type of data is called “past data” and is usually accessible via past researchers, government records, and various online and offline resources.

So to recap, secondary research involves re-analysing, interpreting, or reviewing past data. The role of the researcher is always to specify how this past data informs his or her current research.

In contrast to primary research, secondary research is easier, particularly because the researcher is less involved with the actual process of collecting the data. Furthermore, secondary research requires less time and less money (i.e., you don’t need to provide your participants with compensation for participating or pay for any other costs of the research).

One of the most obvious advantages is that, compared to primary research, secondary research is inexpensive . Primary research usually requires spending a lot of money. For instance, members of the research team should be paid salaries. There are often travel and transportation costs. You may need to pay for office space and equipment, and compensate your participants for taking part. There may be other overhead costs too.

These costs do not exist when doing secondary research. Although researchers may need to purchase secondary data sets, this is always less costly than if the research were to be conducted from scratch.

As an undergraduate or graduate student, your dissertation project won't need to be an expensive endeavour. Thus, it is useful to know that you can further reduce costs, by using freely available secondary data sets.

But this is far from the only consideration.

Most students value another important advantage of secondary research, which is that secondary research saves you time . Primary research usually requires months spent recruiting participants, providing them with questionnaires, interviews, or other measures, cleaning the data set, and analysing the results. With secondary research, you can skip most of these daunting tasks; instead, you merely need to select, prepare, and analyse an existing data set.

Moreover, you probably won’t need a lot of time to obtain your secondary data set, because secondary data is usually easily accessible . In the past, students needed to go to libraries and spend hours trying to find a suitable data set. New technologies make this process much less time-consuming. In most cases, you can find your secondary data through online search engines or by contacting previous researchers via email.

A third important advantage of secondary research is that you can base your project on a large scope of data . If you wanted to obtain a large data set yourself, you would need to dedicate an immense amount of effort. What's more, if you were doing primary research, you would never be able to use longitudinal data in your graduate or undergraduate project, since it would take you years to complete. This is because longitudinal data involves assessing and re-assessing a group of participants over long periods of time.

When using secondary data, however, you have an opportunity to work with immensely large data sets that somebody else has already collected. Thus, you can also deal with longitudinal data, which may allow you to explore trends and changes of phenomena over time.

With secondary research, you are relying not only on a large scope of data, but also on professionally collected data . This is yet another advantage of secondary research. For instance, data that you will use for your secondary research project has been collected by researchers who are likely to have had years of experience in recruiting representative participant samples, designing studies, and using specific measurement tools.

If you had collected this data yourself, your own data set would probably have more flaws, simply because of your lower level of expertise when compared to these professional researchers.

The first such disadvantage is that your secondary data may be, to a greater or lesser extent, inappropriate for your own research purposes. This is simply because you have not collected the data yourself.

When you collect your data personally, you do so with a specific research question in mind. This makes it easy to obtain the relevant information. However, secondary data was always collected for the purposes of fulfilling other researchers’ goals and objectives.

Thus, although secondary data may provide you with a large scope of professionally collected data, this data is unlikely to be fully appropriate to your own research question. There are several reasons for this. For instance, you may be interested in the data of a particular population, in a specific geographic region, and collected during a specific time frame. However, your secondary data may have focused on a slightly different population, may have been collected in a different geographical region, or may have been collected a long time ago.

Apart from being potentially inappropriate for your own research purposes, secondary data could have a different format than you require. For instance, you might have preferred participants’ age to be in the form of a continuous variable (i.e., you want your participants to have indicated their specific age). But the secondary data set may contain a categorical age variable; for example, participants might have indicated an age group they belong to (e.g., 20-29, 30-39, 40-49, etc.). Or another example: A secondary data set may contain too few ethnic categories (e.g., “White” and “Other”), while you would ideally want a wider range of racial categories (e.g., “White”, “Black or African American”, “American Indian”, and “Asian”). Differences such as these mean that secondary data may not be perfectly appropriate for your research.

The above two disadvantages may lead to yet another one: the existing data set may not answer your own research question(s) in an ideal way. As noted above, secondary data was collected with a different research question in mind, and this may limit its application to your own research purpose.

Unfortunately, the list of disadvantages does not end here. An additional weakness of secondary data is that you have a lack of control over the quality of data. All researchers need to establish that their data is reliable and valid. But if the original researchers did not establish the reliability and validity of their data, this may limit its reliability and validity for your research as well. To establish reliability and validity, you are usually advised to critically evaluate how the data was gathered, analysed, and presented.

But here lies the final disadvantage of doing secondary research: original researchers may fail to provide sufficient information on how their research was conducted. You might be faced with a lack of information on recruitment procedures, sample representativeness, data collection methods, employed measurement tools and statistical analyses, and the like. This may require you to take extra steps to obtain such information, if that is possible at all.

At this point, we should ask: “What are the methods of secondary research?” and “When do we use each of these methods?” Here, we can differentiate between three methods of secondary research: using a secondary data set in isolation , combining two secondary data sets, and combining secondary and primary data sets. Let’s outline each of these separately, and also explain when to use each of these methods.

Initially, you can use a secondary data set in isolation – that is, without combining it with other data sets. You dig and find a data set that is useful for your research purposes and then base your entire research on that set of data. You do this when you want to re-assess a data set with a different research question in mind.

Let’s illustrate this with a simple example. Suppose that, in your research, you want to investigate whether pregnant women of different nationalities experience different levels of anxiety during different pregnancy stages. Based on the literature, you have formed an idea that nationality may matter in this relationship between pregnancy and anxiety.

If you wanted to test this relationship by collecting the data yourself, you would need to recruit many pregnant women of different nationalities and assess their anxiety levels throughout their pregnancy. It would take you at least a year to complete this research project.

Instead of undertaking this long endeavour, you thus decide to find a secondary data set – one that investigated (for instance) a range of difficulties experienced by pregnant women in a nationwide sample. The original research question that guided this research could have been: “to what extent do pregnant women experience a range of mental health difficulties, including stress, anxiety, mood disorders, and paranoid thoughts?” The original researchers might have outlined women’s nationality, but weren’t particularly interested in investigating the link between women’s nationality and anxiety at different pregnancy stages. You are, therefore, re-assessing their data set with your own research question in mind.

Your research may, however, require you to combine two secondary data sets . You will use this kind of methodology when you want to investigate the relationship between certain variables in two data sets or when you want to compare findings from two past studies.

To take an example: One of your secondary data sets may focus on a target population’s tendency to smoke cigarettes, while the other data set focuses on the same population’s tendency to drink alcohol. In your own research, you may thus be looking at whether there is a correlation between smoking and drinking among this population.

Here is a second example: Your two secondary data sets may focus on the same outcome variable, such as the degree to which people go to Greece for a summer vacation. However, one data set could have been collected in Britain and the other in Germany. By comparing these two data sets, you can investigate which nation tends to visit Greece more.

Finally, your research project may involve combining primary and secondary data . You may decide to do this when you want to obtain existing information that would inform your primary research.

Let’s use another simple example and say that your research project focuses on American versus British people’s attitudes towards racial discrimination. Let’s say that you were able to find a recent study that investigated Americans’ attitudes of these kind, which were assessed with a certain set of measures. However, your search finds no recent studies on Britons’ attitudes. Let’s also say that you live in London and that it would be difficult for you to assess Americans’ attitudes on the topic, but clearly much more straightforward to conduct primary research on British attitudes.

In this case, you can simply reuse the data from the American study and adopt exactly the same measures with your British participants. Your secondary data is being combined with your primary data. Alternatively, you may combine these types of data when the role of your secondary data is to outline descriptive information that supports your research. For instance, if your project is focusing on attitudes towards McDonald’s food, you may want to support your primary research with secondary data that outlines how many people eat McDonald’s in your country of choice.

TABLE 3 summarises particular methods and purposes of secondary research:

We have already provided above several examples of using quantitative secondary data. This type of data is used when the original study has investigated a population’s tendency to smoke or drink alcohol, the degree to which people from different nationalities go to Greece for their summer vacation, or the degree to which pregnant women experience anxiety.

In all these examples, outcome variables were assessed by questionnaires, and thus the obtained data was numerical.

Quantitative secondary research is much more common than qualitative secondary research. However, this is not to say that you cannot use qualitative secondary data in your research project. This type of secondary data is used when you want the previously-collected information to inform your current research. More specifically, it is used when you want to test the information obtained through qualitative research by implementing a quantitative methodology.

For instance, a past qualitative study might have focused on the reasons why people choose to live on boats. This study might have interviewed some 30 participants and noted the four most important reasons people live on boats: (1) they can lead a transient lifestyle, (2) they have an increased sense of freedom, (3) they feel that they are “world citizens”, and (4) they can more easily visit their family members who live in different locations. In your own research, you can therefore reuse this qualitative data to form a questionnaire, which you then give to a larger population of people who live on boats. This will help you to generalise the previously-obtained qualitative results to a broader population.

Importantly, you can also re-assess a qualitative data set in your research, rather than using it as a basis for your quantitative research. Let’s say that your research focuses on the kind of language that people who live on boats use when describing their transient lifestyles. The original research did not focus on this research question per se – however, you can reuse the information from interviews to “extract” the types of descriptions of a transient lifestyle that were given by participants.

TABLE 4 highlights the two main types of secondary data and their associated purposes:

Internal sources of data are those that are internal to the organisation in question. For instance, if you are doing a research project for an organisation (or research institution) where you are an intern, and you want to reuse some of their past data, you would be using internal data sources.

The benefit of using these sources is that they are easily accessible and there is no associated financial cost of obtaining them.

External sources of data, on the other hand, are those that are external to an organisation or a research institution. This type of data has been collected by “somebody else”, in the literal sense of the term. The benefit of external sources of data is that they provide comprehensive data – however, you may sometimes need more effort (or money) to obtain it.

Let’s now focus on different types of internal and external secondary data sources.

There are several types of internal sources. For instance, if your research focuses on an organisation’s profitability, you might use their sales data . Each organisation keeps a track of its sales records, and thus your data may provide information on sales by geographical area, types of customer, product prices, types of product packaging, time of the year, and the like.

Alternatively, you may use an organisation’s financial data . The purpose of using this data could be to conduct a cost-benefit analysis and understand the economic opportunities or outcomes of hiring more people, buying more vehicles, investing in new products, and so on.

Another type of internal data is transport data . Here, you may focus on outlining the safest and most effective transportation routes or vehicles used by an organisation.

Alternatively, you may rely on marketing data , where your goal would be to assess the benefits and outcomes of different marketing operations and strategies.

Some other ideas would be to use customer data to ascertain the ideal type of customer, or to use safety data to explore the degree to which employees comply with an organisation’s safety regulations.

The list of the types of internal sources of secondary data can be extensive; the most important thing to remember is that this data comes from a particular organisation itself, in which you do your research in an internal manner.

The list of external secondary data sources can be just as extensive. One example is the data obtained through government sources . These can include social surveys, health data, agricultural statistics, energy expenditure statistics, population censuses, import/export data, production statistics, and the like. Government agencies tend to conduct a lot of research, therefore covering almost any kind of topic you can think of.

Another external source of secondary data are national and international institutions , including banks, trade unions, universities, health organisations, etc. As with government, such institutions dedicate a lot of effort to conducting up-to-date research, so you simply need to find an organisation that has collected the data on your own topic of interest.

Alternatively, you may obtain your secondary data from trade, business, and professional associations . These usually have data sets on business-related topics and are likely to be willing to provide you with secondary data if they understand the importance of your research. If your research is built on past academic studies, you may also rely on scientific journals as an external data source.

Once you have specified what kind of secondary data you need, you can contact the authors of the original study.

As a final example of a secondary data source, you can rely on data from commercial research organisations. These usually focus their research on media statistics and consumer information, which may be relevant if, for example, your research is within media studies or you are investigating consumer behaviour.

At this point, you should have a clearer understanding of secondary research in general terms.

Now it may be useful to focus on the actual process of doing secondary research. This next section is organised to introduce you to each step of this process, so that you can rely on this guide while planning your study. At the end of this blog post, in Table 6 , you will find a summary of all the steps of doing secondary research.

For an undergraduate thesis, you are often provided with a specific research question by your supervisor. But for most other types of research, and especially if you are doing your graduate thesis, you need to arrive at a research question yourself.

The first step here is to specify the general research area in which your research will fall. For example, you may be interested in the topic of anxiety during pregnancy, or tourism in Greece, or transient lifestyles. Since we have used these examples previously, it may be useful to rely on them again to illustrate our discussion.

Once you have identified your general topic, your next step consists of reading through existing papers to see whether there is a gap in the literature that your research can fill. At this point, you may discover that previous research has not investigated national differences in the experiences of anxiety during pregnancy, or national differences in a tendency to go to Greece for a summer vacation, or that there is no literature generalising the findings on people’s choice to live on boats.

Having found your topic of interest and identified a gap in the literature, you need to specify your research question. In our three examples, research questions would be specified in the following manner: (1) “Do women of different nationalities experience different levels of anxiety during different stages of pregnancy?”, (2) “Are there any differences in an interest in Greek tourism between Germans and Britons?”, and (3) “Why do people choose to live on boats?”.

It is at this point, after reviewing the literature and specifying your research questions, that you may decide to rely on secondary data. You will do this if you discover that there is past data that would be perfectly reusable in your own research, therefore helping you to answer your research question more thoroughly (and easily).

But how do you discover if there is past data that could be useful for your research? You do this through reviewing the literature on your topic of interest. During this process, you will identify other researchers, organisations, agencies, or research centres that have explored your research topic.

Somewhere there, you may discover a useful secondary data set. You then need to contact the original authors and ask for a permission to use their data. (Note, however, that this happens only if you are relying on external sources of secondary data. If you are doing your research internally (i.e., within a particular organisation), you don’t need to search through the literature for a secondary data set – you can just reuse some past data that was collected within the organisation itself.)

In any case, you need to ensure that a secondary data set is a good fit for your own research question. Once you have established that it is, you need to specify the reasons why you have decided to rely on secondary data.

For instance, your choice to rely on secondary data in the above examples might be as follows: (1) A recent study has focused on a range of mental difficulties experienced by women in a multinational sample and this data can be reused; (2) There is existing data on Germans’ and Britons’ interest in Greek tourism and these data sets can be compared; and (3) There is existing qualitative research on the reasons for choosing to live on boats, and this data can be relied upon to conduct a further quantitative investigation.

Because such disadvantages of secondary data can limit the effectiveness of your research, it is crucial that you evaluate a secondary data set. To ease this process, we outline here a reflective approach that will allow you to evaluate secondary data in a stepwise fashion.

Step 3(a): What was the aim of the original study?

During this step, you also need to pay close attention to any differences in research purposes and research questions between the original study and your own investigation. As we have discussed previously, you will often discover that the original study had a different research question in mind, and it is important for you to specify this difference.

Let’s put this step of identifying the aim of the original study in practice, by referring to our three research examples. The aim of the first research example was to investigate mental difficulties (e.g., stress, anxiety, mood disorders, and paranoid thoughts) in a multinational sample of pregnant women.

How does this aim differ from your research aim? Well, you are seeking to reuse this data set to investigate national differences in anxiety experienced by women during different pregnancy stages. When it comes to the second research example, you are basing your research on two secondary data sets – one that aimed to investigate Germans’ interest in Greek tourism and the other that aimed to investigate Britons’ interest in Greek tourism.

While these two studies focused on particular national populations, the aim of your research is to compare Germans’ and Britons’ tendency to visit Greece for summer vacation. Finally, in our third example, the original research was a qualitative investigation into the reasons for living on boats. Your research question is different, because, although you are seeking to do the same investigation, you wish to do so by using a quantitative methodology.

Importantly, in all three examples, you conclude that secondary data may in fact answer your research question. If you conclude otherwise, it may be wise to find a different secondary data set or to opt for primary research.

Step 3(b): Who has collected the data?

Let’s say that, in our example of research on pregnancy, data was collected by the UK government; that in our example of research on Greek tourism, the data was collected by a travel agency; and that in our example of research on the reasons for choosing to live on boats, the data was collected by researchers from a UK university.

Let’s also say that you have checked the background of these organisations and researchers, and that you have concluded that they all have a sufficiently professional background, except for the travel agency. Given that this agency’s research did not lead to a publication (for instance), and given that not much can be found about the authors of the research, you conclude that the professionalism of this data source remains unclear.

Step 3(c): Which measures were employed?

Original authors should have documented all their sample characteristics, measures, procedures, and protocols. This information can be obtained either in their final research report or through contacting the authors directly.

It is important for you to know what type of data was collected, which measures were used, and whether such measures were reliable and valid (if they were quantitative measures). You also need to make a clear outline of the type of data collected – and especially the data relevant for your research.

Let’s say that, in our first example, researchers have (among other assessed variables) used a demographic measure to note women’s nationalities and have used the State Anxiety Inventory to assess women’s anxiety levels during different pregnancy stages, both of which you conclude are valid and reliable tools. In our second example, the authors might have crafted their own measure to assess interest in Greek tourism, but there may be no established validity and reliability for this measure. And in our third example, the authors have employed semi-structured interviews, which cover the most important reasons for wanting to live on boats.

Step 3(d): When was the data collected?

Ideally, you want your secondary data to have been collected within the last five years. For the sake of our examples, let’s say that all three original studies were conducted within this time-range.

Step 3(e): What methodology was used to collect the data?

We have already noted that you need to evaluate the reliability and validity of employed measures. In addition to this, you need to evaluate how the sample was obtained, whether the sample was large enough, if the sample was representative of the population, if there were any missing responses on employed measures, whether confounders were controlled for, and whether the employed statistical analyses were appropriate. Any drawbacks in the original methodology may limit your own research as well.

For the sake of our examples, let’s say that the study on mental difficulties in pregnant women recruited a representative sample of pregnant women (i.e., they had different nationalities, different economic backgrounds, different education levels, etc.) in maternity wards of seven hospitals; that the sample was large enough (N = 945); that the number of missing values was low; that many confounders were controlled for (e.g., education level, age, presence of partnership, etc.); and that statistical analyses were appropriate (e.g., regression analyses were used).

Let’s further say that our second research example had slightly less sufficient methodology. Although the number of participants in the two samples was high enough (N1 = 453; N2 = 488), the number of missing values was low, and statistical analyses were appropriate (descriptive statistics), the authors failed to report how they recruited their participants and whether they controlled for any confounders.

Let’s say that these authors also failed to provide you with more information via email. Finally, let’s assume that our third research example also had sufficient methodology, with a sufficiently large sample size for a qualitative investigation (N = 30), high sample representativeness (participants with different backgrounds, coming from different boat communities), and sufficient analyses (thematic analysis).

Note that, since this was a qualitative investigation, there is no need to evaluate the number of missing values and the use of confounders.

Step 3(f): Making a final evaluation

We would conclude that the secondary data from our first research example has a high quality. Data was recently collected by professionals, the employed measures were both reliable and valid, and the methodology was more than sufficient. We can be confident that our new research question can be sufficiently answered with the existing data. Thus, the data set for our first example is ideal.

The two secondary data sets from our second research example seem, however, less than ideal. Although we can answer our research questions on the basis of these recent data sets, the data was collected by an unprofessional source, the reliability and validity of the employed measure is uncertain, and the employed methodology has a few notable drawbacks.

Finally, the data from our third example seems sufficient both for answering our research question and in terms of the specific evaluations (data was collected recently by a professional source, semi-structured interviews were well made, and the employed methodology was sufficient).

The final question to ask is: “what can be done if our evaluation reveals the lack of appropriateness of secondary data?”. The answer, unfortunately, is “nothing”. In this instance, you can only note the drawbacks of the original data set, present its limitations, and conclude that your own research may not be sufficiently well grounded.

Your first sub-step here (if you are doing quantitative research) is to outline all variables of interest that you will use in your study. In our first example, you could have at least five variables of interest: (1) women’s nationality, (2) anxiety levels at the beginning of pregnancy, (3) anxiety levels at three months of pregnancy, (4) anxiety levels at six months of pregnancy, and (5) anxiety levels at nine months of pregnancy. In our second example, you will have two variables of interest: (1) participants’ nationality, and (2) the degree of interest in going to Greece for a summer vacation. Once your variables of interest are identified, you need to transfer this data into a new SPSS or Excel file. Remember simply to copy this data into the new file – it is vital that you do not alter it!

Once this is done, you should address missing data (identify and label them) and recode variables if necessary (e.g., giving a value of 1 to German participants and a value of 2 to British participants). You may also need to reverse-score some items, so that higher scores on all items indicate a higher degree of what is being assessed.

Most of the time, you will also need to create new variables – that is, to compute final scores. For instance, in our example of research on anxiety during pregnancy, your data will consist of scores on each item of the State Anxiety Inventory, completed at various times during pregnancy. You will need to calculate final anxiety scores for each time the measure was completed.

Your final step consists of analysing the data. You will always need to decide on the most suitable analysis technique for your secondary data set. In our first research example, you would rely on MANOVA (to see if women of different nationalities experience different stress levels at the beginning, at three months, at six months, and at nine months of pregnancy); and in our second example, you would use an independent samples t-test (to see if interest in Greek tourism differs between Germans and Britons).

The process of preparing and analysing a secondary data set is slightly different if your secondary data is qualitative. In our example on the reasons for living on boats, you would first need to outline all reasons for living on boats, as recognised by the original qualitative research. Then you would need to craft a questionnaire that assesses these reasons in a broader population.

Finally, you would need to analyse the data by employing statistical analyses.

Note that this example combines qualitative and quantitative data. But what if you are reusing qualitative data, as in our previous example of re-coding the interviews from our study to discover the language used when describing transient lifestyles? Here, you would simply need to recode the interviews and conduct a thematic analysis.

In summary…

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Oral history for all: a research method that crosses disciplinary boundaries

Oral history’s potential to capture lesser-known perspectives and fill knowledge gaps deserves appreciation beyond the humanities

Sien van der Plank

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Oral history is widely used in public history and humanities, but researchers across disciplines could benefit from its value in data collection. Oral history methods cannot identify how air pollution affects our lungs, explain how scour affects offshore wind turbines nor provide future rates of coastal erosion under sea level rise scenarios. But this method can provide a new lens with unexpected conclusions; oral history has the potential to trace pollution exposure by transport user groups over their lifetime, to record engineers’ expertise when assessing offshore wind turbines, and to collect local experiences of changing coasts. 

Here, we provide suggestions to aid researchers and institutions to expand the use of oral history. 

What is oral history? 

Oral histories are audio/video recorded interviews that document the personal recollections, experiences and opinions of the narrators. In contrast with other forms of interview, oral history uses a biographical approach to record in-depth life stories or focus on specific themes or events. They require the interviewer to be an active listener with empathy, respect and cultural sensitivity , encouraging narrators to be honest and accurate in their recollections. Oral histories can be recorded both individual and groups settings. Care should always be taken for researchers not to dominate conversation or introduce bias. These recordings provide new insight or interpretation about the past and create a valuable resource for future generations.

Best practice in oral history and where to go for help

Oral history is a widely accessible data collection method. While training is recommended and practice doubtlessly improves interviewer confidence and skill, the conversational ethos of the method supports adoption by a wide range of users. The Oral History Association ,  established in the US in 1966, and the Oral History Society , founded in the UK in 1973, are knowledge-holders of best practice. They promote methodological excellence and have a network of accredited individuals from diverse backgrounds who can give guidance. To seek conceptual and methodological support for oral history work, we would be well placed to step outside the comfortable confines of the university institution, and to ask non-academic experts for their input on oral history data collection, storage, use and dissemination. 

The potential of oral history beyond the humanities

Oral history is finding more applications beyond the humanities and social sciences. In geography, it is increasingly used in studies of place memory and place identity. Oral histories are also increasingy in biodiversity conservation, to study ecological history and human resource use. The recently completed PhD research by Nicola Johnstone ( Minderoo Foundation) used oral histories to improve our understanding of how marine protected areas are developed in practice. 

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Other examples of the use of oral history in studying environmental change and management include:  collecting data on algal blooms where formal monitoring was absent in Australia,  tracing institutional change in fisheries science, and  mapping past land use regimens in landscape ecology.  Beyond research, oral history is also often used in stakeholder engagement and heritage projects. Oral history can form part of post-disaster recovery; following a storm event, one community used oral history knowledge shared by elders with younger farmers to help them “connect their own situation with the larger record of collective memory”.

Six characteristics make oral history intrinsically distinct from other history sources: orality, narrative, performance, subjectivity, memory and mutability. These distinctions also offer clues as to oral history’s usefulness across disciplines; oral history is a toolkit to explore questions and challenges through the human lens. Transport engineers in the US, for example , used oral history to better understand driver behaviour and motivation, to in turn inform urban planning. A physician used a self-reflective oral history method to explore their own experience of cancer treatment.

Oral history for all

We organised an introductory oral history training for researchers across the University of Southampton in April, supported by the Southampton Marine and Maritime Institute ( SMMI ) . The use of oral history and other discipline-bound methods could be improved by universities facilitating such cross-disciplinary context-specific networking groups , as well as by recognising methods experts within and outside academic institutions to support interdisciplinary research endeavours. In this era of co-design, co-production and collaborative research, we need to recognise that not all methodological experts are housed by academic institutions.  

We limit ourselves if we ignore the potential of such methods to collect valuable first-person accounts of past events and their impacts on people’s lives. Whether you ultimately use it or not, we challenge you to use your next coffee break to revisit your current research project and think: “What might an oral history method tell me about this topic?”

Sien van der Plank is a senior research fellow and Lareb Dean is an AXA research fellow, both at the University of Southampton. Padmini Broomfield is an oral historian.

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Development tools of parasitic paradigm: an african perspective of western theories of development and reforms, bashir olaitan ibrahim.

The orthodox conceptualisation of development and its reforms which are rooted in Western schools of thought recognizes the existence of three categories of polities, viz: developed, developing and underdeveloped states. But the major questions that are of concern are: on what grounds do we submit that a country is developed, and the other is either developing or underdeveloped? Using a historical method of research and utilising mainly secondary sources of data, the paper attempts to answer these salient issues by critiquing the orthodox western development theories and reforms, citing a wide range of instances of faulty development reforms imposed on the global south by the West. The study found that the western driven ‗development reforms or policies‘ for the governments of the global North are incompatible with the dynamics and interests of the South. It also found that the western driven ‗development reforms or policies‘ were never intended to sustain the economies of the global south or worsen the North-South dichotomy. The paper concludes that every society has its own sense of development and that the orthodox conception of development, and its reforms are not sacrosanct given the peculiarities of the global South. The paper also posits that western driven ‗development reforms or policies‘ are ‗neo-colonial schemes‘ targeted at strengthening the core-periphery arrangements between the global North and the global South.

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