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Secondary Data – Types, Methods and Examples

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Secondary data is a critical resource in research, providing a cost-effective and time-efficient means to gather insights and conduct analyses. It involves the use of pre-existing information collected for purposes other than the researcher’s current study. Understanding secondary data, its types, methods, and practical applications can enhance the quality and efficiency of research projects.

Secondary Data

Secondary data refers to information that has been collected, organized, and published by others for purposes other than the researcher’s current investigation. It is often derived from previously conducted studies, reports, surveys, or administrative records. Secondary data serves as an essential foundation for exploratory studies, comparative analysis, and literature reviews.

For example, a market researcher analyzing consumer behavior trends might use sales reports, census data, or prior survey results as secondary data.

Importance of Secondary Data

Secondary data plays a vital role in research due to the following benefits:

• Cost and Time Efficiency: It eliminates the need for primary data collection, saving resources.
• Availability of Longitudinal Data: Historical datasets allow researchers to analyze trends over time.
• Broad Accessibility: Secondary data is often publicly available or accessible through organizations and libraries.
• Supports Comparative Studies: By leveraging data from multiple sources, researchers can draw comparisons and generalizations.

Types of Secondary Data

1. quantitative data.

Quantitative secondary data includes numerical information such as statistics, survey results, or financial records. Examples include census data, sales figures, and stock market indices.

2. Qualitative Data

Qualitative secondary data comprises non-numerical information such as written reports, interviews, or visual media. Examples include journal articles, company reports, and archived videos.

3. Internal Data

Internal secondary data refers to data collected and stored within an organization. Examples include:

• Sales records
• Employee performance evaluations
• Customer feedback reports

4. External Data

External secondary data is obtained from outside sources and includes information from:

• Government publications
• Academic research papers
• News articles
• Market research reports

Sources of Secondary Data

Secondary data is obtained from a variety of sources:

1. Published Sources

• Books, journals, and conference papers.
• Government reports, such as census and economic surveys.
• Online databases like Google Scholar or JSTOR.

2. Unpublished Sources

• Internal company documents.
• University theses and dissertations.
• Private records from organizations or individuals.

3. Online Sources

• Websites, blogs, and online articles.
• Publicly accessible data repositories.
• Social media platforms for sentiment and behavior analysis.

Methods of Collecting Secondary Data

1. archival research.

Archival research involves exploring historical records, legal documents, or organizational archives to extract data relevant to the study.

2. Literature Review

Researchers systematically review books, articles, and reports to gather secondary data that supports the research’s theoretical framework.

3. Content Analysis

Content analysis involves studying qualitative data such as text, images, or videos to extract meaningful patterns and themes.

4. Meta-Analysis

A meta-analysis aggregates and synthesizes quantitative data from multiple studies to derive broader conclusions.

Advantages of Secondary Data

• Saves Time and Resources: Researchers can access ready-made data without spending time on data collection.
• Provides Historical Context: Enables analysis of trends and changes over time using historical datasets.
• Wide Range of Information: Secondary data sources cover various topics and fields, offering a broader scope.
• Supports Hypothesis Testing: Existing data can validate or refute hypotheses without additional data collection.

Disadvantages of Secondary Data

• Lack of Specificity: Secondary data may not align perfectly with the researcher’s specific needs or objectives.
• Data Quality Issues: The accuracy, reliability, and validity of secondary data may be questionable if not verified.
• Outdated Information: Some secondary data might be obsolete, reducing its relevance for current research.
• Limited Control Over Data Collection: Researchers have no influence over how the data was originally collected.

Examples of Secondary Data in Research

Example 1: market research.

A company evaluating potential new markets might use government census data and reports from market research firms to understand population demographics and consumer preferences.

Example 2: Academic Research

A researcher studying climate change might rely on previously published articles, datasets from meteorological agencies, and satellite images available in public repositories.

Example 3: Business Analysis

An entrepreneur assessing competition in an industry might use financial reports, industry surveys, and media articles about competitors.

Example 4: Healthcare Studies

A medical researcher analyzing the spread of diseases might use hospital records, public health reports, and prior epidemiological studies.

How to Evaluate the Quality of Secondary Data

To ensure reliability and validity, researchers must critically evaluate secondary data by considering:

• Source Credibility: Is the data sourced from a reputable organization, institution, or publication?
• Data Relevance: Does the data align with the research objectives?
• Timeliness: Is the data up-to-date and relevant to current conditions?
• Accuracy: Was the data collected using rigorous and transparent methods?
• Bias Check: Is there evidence of bias in the way the data was collected or reported?

Applications of Secondary Data

• Academic Research: Secondary data supports literature reviews, theoretical studies, and meta-analyses.
• Business Intelligence: Companies use it to analyze market trends, customer behavior, and competitor performance.
• Policy Making: Governments rely on secondary data to design policies, allocate resources, and assess social programs.
• Healthcare Studies: Researchers use existing patient data and medical reports to identify health trends and evaluate interventions.

Secondary data is a valuable resource for researchers, offering an efficient way to gather insights without conducting primary data collection. By understanding the types, sources, and methods of obtaining secondary data, researchers can leverage it effectively to answer their research questions and support their objectives. However, careful evaluation of secondary data is crucial to ensure its quality, relevance, and reliability. With proper application, secondary data can enhance the depth and breadth of research across disciplines.

• Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press.
• Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
• Kothari, C. R. (2004). Research Methodology: Methods and Techniques . New Age International.
• United Nations Statistics Division. (n.d.). Sources and Methods of Secondary Data. Retrieved from https://unstats.un.org
• Saunders, M., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students (8th ed.). Pearson.

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Library Guides

Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.  

Definitions  

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:  

Secondary sources 

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.  

Primary sources 

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123). 

Primary data 

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316). 

Secondary data 

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).   

Comparison between primary and secondary data   

Use  

Virtually all research will use secondary sources, at least as background information. 

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'. 

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.    

Ultimately, you should state in this section of the methodology: 

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis. 

If using primary data, why you employed certain strategies to collect them. 

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature). 

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages. 

Quantitative research 

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496). 

Qualitative research  

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.  

Mixed methods 

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.  

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138). 

Ultimately, your methodology chapter should state: 

Whether you used quantitative research, qualitative research or mixed methods. 

Why you chose such methods (and refer to research method sources). 

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis. 

Whatever methods you will use, you will need to consider: 

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose? 

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?) 

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

procedure of the research (see box procedural method...).  

Check Stella Cottrell's book  Dissertations and Project Reports: A Step by Step Guide  for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.  

Experiments 

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations. 

For more information on Scientific Method, click here . 

Observations 

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.  

Questionnaires and surveys 

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements. 

Interviews  

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142). 

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods. 

Focus groups   

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views. 

This video focuses on strategies for conducting research using focus groups.  

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box. 

Case study 

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.     

Content analysis 

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:  

Research Methods  

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection. 

Doing your dissertation during the COVID-19 pandemic  

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts; 

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication. 

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!). 

Include specifics about participants, sample, materials, design and methods. 

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.  

Describe all materials used for the study, including equipment, written materials and testing instruments. 

Identify the study's design and any variables or controls employed. 

Write out the steps in the order that they were completed. 

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected. 

Specify statistical techniques applied to the data to reach your conclusions. 

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design. 

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly. 

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research. 

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources.  The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015).  Research Methods for Business Students.  New York: Pearson Education. 

Specht, D. (2019).  The Media And Communications Study Skills Student Guide . London: University of Westminster Press.  

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Secondary Research Guide: Definition, Types & Examples

Published by Alvin Nicolas at October 16th, 2024 , Revised On October 24, 2024

There are two ways to conduct a research study. The first is collecting first-hand information through surveys , interviews and observations and developing your ideas. However, when you are not involved in the data collection process, you have to rely on the information that is available to make specific conclusions. This is known as secondary research.

While secondary research might not be as accurate and objective as primary research, it still provides insights about new trends. In this article, we shall discuss what secondary research is, its types, and methods with key examples.

What Is Secondary Research Definition?

Secondary research also known as desk research deals with collecting and analysing information and data that already exists. It involves using public and private databases, inspecting numerous literature and research papers, and examining books, journals and other sources of information both print and digital. This information can be both free or available at a limited cost.

However, it can be quite challenging to identify credible and reliable sources as there are plenty of resources to look at. Hence, it is necessary to be careful and critical in analysing the data available and not fall prey to biased resources of information.

When To Use Secondary Research?

Secondary research is about bringing information and knowledge together to draw conclusions from it. It is used when certain gaps need to be addressed in already existing research. Moreover, secondary research helps identify trends that have not been explored in the previous research.

This results in the development of theories and frameworks based on existing research. Last, secondary research also helps evaluate the effectiveness of policies, strategies and protocols implemented before and the outcomes that follow.

Methods Of Secondary Research

Secondary research uses numerous methods to gain already existing data. From examining literature reviews to scanning a well-structured research paper, secondary research employs the following methodologies to gain data:

A case study aims to understand a specific person, subject, phenomenon or event. It is a great method to gain in-depth and analytical information about the study matter. They can also be used to showcase complex concepts and practical applications. Moreover, interviews and observational studies make some effective case studies.

There are four types of case studies that are used to gain information in secondary research:

• Single Case Study
• Multiple Case Study
• Collective Case Study
• Instrumental Case Study

Statistical Analysis

While studying business and market trends and conducting scientific research, statistical analysis is used to collect, examine and interpret data that helps understand and analyse consumer preferences, behaviour and opinions. It can also be used in various disciplines such as social sciences, humanities, healthcare and medicine.

These datasets are available both in print archives and online in the form of websites that deal with huge datasets. Data can also be collected by examining credible sources such as:

• Libraries & archives
• Academic journals, newspapers and magazine articles
• Government Agencies
• Educational Institutions
• Business Consultancies

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Literature Review

A literature review is a summary of previous research on your subject. It allows you to identify trends and address gaps in existing research. Structured like an academic paper, with an introduction, body, and conclusion, it provides an excellent approach to evaluating the current state of the research topic, building on recent findings, and understanding how it can be used for further research.

A literature review can take multiple forms such as:

• Research Paper
• White Paper
• Systematic Review
• Meta-Analysis
• Scoping Review
• Methodological Review

Content Analysis

Content analysis is a popular method for collecting and interpreting information in secondary research. It involves studying and critically analysing visual, spoken and written text to make inferences and conclusions.

This method can be both qualitative and quantitative, which means that it uses statistical methods to analyse numerical data and qualitative methods to understand textual data. Content analysis is commonly used in communication, psychology, marketing and social sciences.

Advantages And Disadvantages Of Secondary Research

Secondary research is efficient and quick for building on existing knowledge. It also helps address any gaps that were left in the previous research. However, some disadvantages also exist. Here are the key advantages of secondary research and disadvantages of secondary research :

Difference Between Secondary And Primary Research

Secondary research and primary research are two completely different methods of gathering information. Each has its own definition, techniques and traits. Here is how the two differ from each other:

Examples Of Secondary Research

Here are different examples of how secondary research is used to explore research topics:

Example 1: Literature Review

You want to understand the psychological effects of social media apps on the mental health of teenagers. Hence, you can conduct a literature review of existing research papers, articles and books that focus on various aspects like depression, stress, anxiety and other social behaviours that stem from the use of social media apps,

Example 2: Content Analysis

For instance, you want to analyse the portrayal of gender roles in children’s television programming. Hence, you may examine the scripts of popular children’s television shows. Sample size may depend on the researcher. The number of television shows, the genre and the number of episodes being evaluated is chosen under the supervision of the researcher.

Frequently Asked Questions

Is a systematic review part of secondary research.

Yes, a systematic review is a part of secondary research, as it relies on existing research to evaluate the topic under study and make conclusions accordingly.

How can I evaluate the quality of secondary data?

You can comprehend the quality of secondary data by examining its relevance to your topic. If it aligns with the content you want, you should proceed to evaluate its source and credibility.

What is an example of secondary research?

You are conducting research on inmates and the process of their reintegration into society. Hence, you decide to create a case study with the help of previous structured interviews conducted with inmates when they were in prison. The interviews shall help you understand the experiences and attitudes of inmates needed to structure a case study.

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15 Secondary Research Examples

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Secondary research is the analysis, summary or synthesis of already existing published research. Instead of collecting original data, as in primary research , secondary research involves data or the results of data analyses already collected.

It is generally published in books, handbooks, textbooks, articles, encyclopedias, websites, magazines, literature reviews and meta-analyses. These are usually referred to as secondary sources .

Secondary research is a good place to start when wanting to acquire a broad view of a research area. It is usually easier to understand and may not require advanced training in research design and statistics.

Secondary Research Examples

1. literature review.

A literature review summarizes, reviews, and critiques the existing published literature on a topic.

Literature reviews are considered secondary research because it is a collection and analysis of the existing literature rather than generating new data for the study.

They hold value for academic studies because they enable us to take stock of the existing knowledge in a field, evaluate it, and identify flaws or gaps in the existing literature. As a result, they’re almost universally used by academics prior to conducting primary research.

Example 1: Workplace stress in nursing: a literature review

Citation: McVicar, A. (2003). Workplace stress in nursing: a literature review.  Journal of advanced nursing ,  44 (6), 633-642. Source: https://doi.org/10.1046/j.0309-2402.2003.02853.x

Summary: This study conducted a systematic analysis of literature on the causes of stress for nurses in the workplace. The study explored the literature published between 2000 and 2014. The authors found that the literature identifies several main causes of stress for nurses: professional relationships with doctors and staff, communication difficulties with patients and their families, the stress of emergency cases, overwork, lack of staff, and lack of support from the institutions. They conclude that understanding these stress factors can help improve the healthcare system and make it better for both nurses and patients.

Example 2: The impact of shiftwork on health: a literature review

Citation: Matheson, A., O’Brien, L., & Reid, J. A. (2014). The impact of shiftwork on health: a literature review.  Journal of Clinical Nursing ,  23 (23-24), 3309-3320. Source: https://doi.org/10.1111/jocn.12524

In this literature review, 118 studies were analyzed to examine the impact of shift work on nurses’ health. The findings were organized into three main themes: physical health, psychosocial health, and sleep. The majority of shift work research has primarily focused on these themes, but there is a lack of studies that explore the personal experiences of shift workers and how they navigate the effects of shift work on their daily lives. Consequently, it remains challenging to determine how individuals manage their shift work schedules. They found that, while shift work is an inevitable aspect of the nursing profession, there is limited research specifically targeting nurses and the implications for their self-care.

Example 3: Social media and entrepreneurship research: A literature review

Citation: Olanrewaju, A. S. T., Hossain, M. A., Whiteside, N., & Mercieca, P. (2020). Social media and entrepreneurship research: A literature review.  International Journal of Information Management ,  50 , 90-110. Source: https://doi.org/10.1016/j.ijinfomgt.2019.05.011

In this literature review, 118 studies were analyzed to examine the impact of shift work on nurses’ health. The findings were organized into three main themes: physical health, social health , and sleep. The majority of shift work research has primarily focused on these themes, but there is a lack of studies that explore the personal experiences of shift workers and how they navigate the effects of shift work on their daily lives. Consequently, it remains challenging to determine how individuals manage their shift work schedules. They found that, while shift work is an inevitable aspect of the nursing profession, there is limited research specifically targeting nurses and the implications for their self-care.

Example 4: Adoption of electric vehicle: A literature review and prospects for sustainability

Citation: Kumar, R. R., & Alok, K. (2020). Adoption of electric vehicle: A literature review and prospects for sustainability.  Journal of Cleaner Production ,  253 , 119911. Source: https://doi.org/10.1016/j.jclepro.2019.119911

This study is a literature review that aims to synthesize and integrate findings from existing research on electric vehicles. By reviewing 239 articles from top journals, the study identifies key factors that influence electric vehicle adoption. Themes identified included: availability of charging infrastructure and total cost of ownership. The authors propose that this analysis can provide valuable insights for future improvements in electric mobility.

Example 5: Towards an understanding of social media use in the classroom: a literature review

Citation: Van Den Beemt, A., Thurlings, M., & Willems, M. (2020). Towards an understanding of social media use in the classroom: a literature review.  Technology, Pedagogy and Education ,  29 (1), 35-55. Source: https://doi.org/10.1080/1475939X.2019.1695657

This study examines how social media can be used in education and the challenges teachers face in balancing its potential benefits with potential distractions. The review analyzes 271 research papers. They find that ambiguous results and poor study quality plague the literature. However, they identify several factors affecting the success of social media in the classroom, including: school culture, attitudes towards social media, and learning goals. The study’s value is that it organizes findings from a large corpus of existing research to help understand the topic more comprehensively.

2. Meta-Analyses

Meta-analyses are similar to literature reviews, but are at a larger scale and tend to involve the quantitative synthesis of data from multiple studies to identify trends and derive estimates of overall effect sizes.

For example, while a literature review might be a qualitative assessment of trends in the literature, a meta analysis would be a quantitative assessment, using statistical methods, of studies that meet specific inclusion criteria that can be directly compared and contrasted.

Often, meta-analysis aim to identify whether the existing data can provide an authoritative account for a hypothesis and whether it’s confirmed across the body of literature.

Example 6: Cholesterol and Alzheimer’s Disease Risk: A Meta-Meta-Analysis

Citation: Sáiz-Vazquez, O., Puente-Martínez, A., Ubillos-Landa, S., Pacheco-Bonrostro, J., & Santabárbara, J. (2020). Cholesterol and Alzheimer’s disease risk: a meta-meta-analysis.  Brain sciences ,  10 (6), 386. Source: https://doi.org/10.3390/brainsci10060386

This study examines the relationship between cholesterol and Alzheimer’s disease (AD). Researchers conducted a systematic search of meta-analyses and reviewed several databases, collecting 100 primary studies and five meta-analyses to analyze the connection between cholesterol and Alzheimer’s disease. They find that the literature compellingly demonstrates that low-density lipoprotein cholesterol (LDL-C) levels significantly influence the development of Alzheimer’s disease, but high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TG) levels do not show significant effects. This is an example of secondary research because it compiles and analyzes data from multiple existing studies and meta-analyses rather than collecting new, original data.

Example 7: The power of feedback revisited: A meta-analysis of educational feedback research

Citation: Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research.  Frontiers in Psychology ,  10 , 3087. Source: https://doi.org/10.3389/fpsyg.2019.03087

This meta-analysis examines 435 empirical studies research on the effects of feedback on student learning. They use a random-effects model to ascertain whether there is a clear effect size across the literature. The authors find that feedback tends to impact cognitive and motor skill outcomes but has less of an effect on motivational and behavioral outcomes. A key (albeit somewhat obvious) finding was that the manner in which the feedback is provided is a key factor in whether the feedback is effective.

Example 8: How Much Does Education Improve Intelligence? A Meta-Analysis

Citation: Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis.  Psychological science ,  29 (8), 1358-1369. Source: https://doi.org/10.1177/0956797618774253

This study investigates the relationship between years of education and intelligence test scores. The researchers analyzed three types of quasiexperimental studies involving over 600,000 participants to understand if longer education increases intelligence or if more intelligent students simply complete more education. They found that an additional year of education consistently increased cognitive abilities by 1 to 5 IQ points across all broad categories of cognitive ability. The effects persisted throughout the participants’ lives, suggesting that education is an effective way to raise intelligence. This study is an example of secondary research because it compiles and analyzes data from multiple existing studies rather than gathering new, original data.

Example 9: A meta-analysis of factors related to recycling

Citation: Geiger, J. L., Steg, L., Van Der Werff, E., & Ünal, A. B. (2019). A meta-analysis of factors related to recycling.  Journal of environmental psychology ,  64 , 78-97. Source: https://doi.org/10.1016/j.jenvp.2019.05.004

This study aims to identify key factors influencing recycling behavior across different studies. The researchers conducted a random-effects meta-analysis on 91 studies focusing on individual and household recycling. They found that both individual factors (such as recycling self-identity and personal norms) and contextual factors (like having a bin at home and owning a house) impacted recycling behavior. The analysis also revealed that individual and contextual factors better predicted the intention to recycle rather than the actual recycling behavior. The study offers theoretical and practical implications and suggests that future research should examine the effects of contextual factors and the interplay between individual and contextual factors.

Example 10: Stress management interventions for police officers and recruits

Citation: Patterson, G. T., Chung, I. W., & Swan, P. W. (2014). Stress management interventions for police officers and recruits: A meta-analysis.  Journal of experimental criminology ,  10 , 487-513. Source: https://doi.org/10.1007/s11292-014-9214-7

The meta-analysis systematically reviews randomized controlled trials and quasi-experimental studies that explore the effects of stress management interventions on outcomes among police officers. It looked at 12 primary studies published between 1984 and 2008. Across the studies, there were a total of 906 participants. Interestingly, it found that the interventions were not effective. Here, we can see how secondary research is valuable sometimes for showing there is no clear trend or consensus in existing literature. The conclusions suggest a need for further research to develop and implement more effective interventions addressing specific stressors and using randomized controlled trials.

3. Textbooks

Academic textbooks tend not to present new research. Rather, they present key academic information in ways that are accessible to university students and academics.

As a result, we can consider textbooks to be secondary rather than primary research. They’re collections of information and research produced by other people, then re-packaged for a specific audience.

Textbooks tend to be written by experts in a topic. However, unlike literature reviews and meta-analyses, they are not necessarily systematic in nature and are not designed to progress current knowledge through identifying gaps, weaknesses, and strengths in the existing literature.

Example 11: Psychology for the Third Millennium: Integrating Cultural and Neuroscience Perspectives

This textbook aims to bridge the gap between two distinct domains in psychology: Qualitative and Cultural Psychology , which focuses on managing meaning and norms, and Neuropsychology and Neuroscience, which studies brain processes. The authors believe that by combining these areas, a more comprehensive general psychology can be achieved, which unites the biological and cultural aspects of human life. This textbook is considered a secondary source because it synthesizes and integrates information from various primary research studies, theories, and perspectives in the field of psychology.

Example 12: Cultural Sociology: An Introduction

Citation: Bennett, A., Back, L., Edles, L. D., Gibson, M., Inglis, D., Jacobs, R., & Woodward, I. (2012).  Cultural sociology: an introduction . New York: John Wiley & Sons.

This student textbook introduces cultural sociology and proposes that it is a valid model for sociological thinking and research. It gathers together existing knowledge within the field to prevent an overview of major sociological themes and empirical approaches utilized within cultural sociological research. It does not present new research, but rather packages existing knowledge in sociology and makes it understandable for undergraduate students.

Example 13: A Textbook of Community Nursing

Citation: Chilton, S., & Bain, H. (Eds.). (2017).  A textbook of community nursing . New York: Routledge.

This textbook presents an evidence-based introduction to professional topics in nursing. In other words, it gathers evidence from other research and presents it to students. It covers areas such as care approaches, public health, eHealth, therapeutic relationships, and mental health. Like many textbooks, it brings together its own secondary research with user-friendly elements like exercises, activities, and hypothetical case studies in each chapter.

4. White Papers

White papers are typically produced within businesses and government departments rather than academic research environments.

Generally, a white paper will focus on a specific topic of concern to the institution in order to present a state of the current situation as well as opportunities that could be pursued for change, improvement, or profit generation in the future.

Unlike a literature review, a white paper generally doesn’t follow standards of academic rigor and may be presented with a bias toward, or focus on, a company or institution’s mission and values.

Example 14: Future of Mobility White Paper

Citation: Shaheen, S., Totte, H., & Stocker, A. (2018). Future of Mobility White Paper.  UC Berkeley: Institute of Transportation Studies at UC Berkeley Source: https://doi.org/10.7922/G2WH2N5D

This white paper explores the how transportation is changing due to concerns over climate change, equity of access to transit, and rapid technological advances (such as shared mobility and automation). The authors aggregate current information and research on key trends, emerging technologies/services, impacts on California’s transportation ecosystem, and future growth projections by reviewing state agency publications, peer-reviewed articles, and forecast reports from various sources. This white paper is an example of secondary research because it synthesizes and integrates information from multiple primary research sources, expert interviews, and input from an advisory committee of local and state transportation agencies.

Example 15: White Paper Concerning Philosophy of Education and Environment

Citation: Humphreys, C., Blenkinsop, S. White Paper Concerning Philosophy of Education and Environment.  Stud Philos Educ   36 (1): 243–264. Source: https://doi.org/10.1007/s11217-017-9567-2

This white paper acknowledges the increasing significance of climate change, environmental degradation, and our relationship with nature, and the need for philosophers of education and global citizens to respond. The paper examines five key journals in the philosophy of education to identify the scope and content of current environmental discussions. By organizing and summarizing the located articles, it assesses the possibilities and limitations of these discussions within the philosophy of education community. This white paper is an example of secondary research because it synthesizes and integrates information from multiple primary research sources, specifically articles from the key journals in the field, to analyze the current state of environmental discussions.

5. Academic Essays

Students’ academic essays tend to present secondary rather than primary research. The student is expected to study current literature on a topic and use it to present a thesis statement.

Academic essays tend to require rigorous standards of analysis, critique, and evaluation, but do not require systematic investigation of a topic like you would expect in a literature review.

In an essay, a student may identify the most relevant or important data from a field of research in order to demonstrate their knowledge of a field of study. They may also, after demonstrating sufficient knowledge and understanding, present a thesis statement about the issue.

Secondary research involves data that has already been collected. The published research might be reviewed, included in a meta-analysis, or subjected to a re-analysis.

These findings might be published in a peer-reviewed journal or handbook, become the foundation of a book for public consumption, or presented in a more narrative form for a popular website or magazine.

Sources for secondary research can range from scientific journals to government databases and archived data accumulated by research institutes.

University students might engage in secondary research to become familiar with an area of research. That might help spark an intriguing hypothesis for a research project of master’s thesis.

Secondary research can yield new insights into human behavior , or confirm existing conceptualizations of psychological constructs.

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How to Write a Research Methodology for Your Academic Article

This article is part of an ongoing series on academic writing help of scholarly articles. Previous parts explored how to write an introduction for a research paper and a literature review outline and format .

The Methodology section portrays the reasoning for the application of certain techniques and methods in the context of the study.

For your academic article, when you describe and explain your chosen methods it is very important to correlate them to your research questions and/or hypotheses. The description of the methods used should include enough details so that the study can be replicated by other Researchers, or at least repeated in a similar situation or framework.

Every stage of your research needs to be explained and justified with clear information on why you chose those particular methods, and how they help you answer your research question or purpose.

As the Authors, in this section you get to explain the rationale of your article for other Researchers. You should focus on answering the following questions:

• How did you collect the data or how did you generate the data?
• Which research methods did you use?
• Why did you choose these methods and techniques?
• How did you use these methods for analyzing the research question or problem?

The responses to these questions should be clear and precise, and the answers should be written in past tense.

First off, let’s establish the differences between research methods and research methodology.

Research Methods and Research Methodology

As an Academic and Author of valuable research papers, it’s important not to confuse these two terms.

Research Methodology Definition

Research Methodology refers the discussion regarding the specific methods chosen and used in a research paper. This discussion also encompasses the theoretical concepts that further provide information about the methods selection and application.

In other words, you should highlight how these theoretical concepts are connected with these methods in a larger knowledge framework and explain their relevance in examining the purpose, problem and questions of your study. Thus, the discussion that forms your academic article’s research methodology also incorporates an extensive literature review about similar methods, used by other Authors to examine a certain research subject.

Research Method Definition

A Research Method represents the technical steps involved in conducting the research. Details about the methods focus on characterizing and defining them, but also explaining your chosen techniques, and providing a full account on the procedures used for selecting, collecting and analyzing the data.

Important Tips for a Good Methodology Section

The methodology section is very important for the credibility of your article and for a professional academic writing style.

Data Collection or Generation for Your Academic Article

Readers, academics and other researchers need to know how the information used in your academic article was collected. The research methods used for collecting or generating data will influence the discoveries and, by extension, how you will interpret them and explain their contribution to general knowledge.

The most basic methods for data collection are:

Secondary data

Secondary data are data that have been previously collected or gathered for other purposes than the aim of the academic article’s study. This type of data is already available, in different forms, from a variety of sources.

Secondary data collection could lead to Internal or External secondary data research.

Primary data

Primary data represent data originated for the specific purpose of the study, with its research questions. The methods vary on how Authors and Researchers conduct an experiment, survey or study, but, in general, it uses a particular scientific method.

Primary data collection could lead to Quantitative and Qualitative research.

Readers need to understand how the information was gathered or generated in a way that is consistent with research practices in a field of study . For instance, if you are using a multiple choice survey, the readers need to know which questionnaire items you have examined in your primary quantitative research. Similarly, if your academic article involves secondary data from FED or Eurostat it is important to mention the variables used in your study, their values, and their time-frame.

For primary research, that involve surveys, experiments or observations, for a valuable academic article, Authors should provide information about:

• Study participants or group participants,
• Inclusion or exclusion criteria

Selecting and Applying Research Methods

Establishing the main premises of methodology is pivotal for any research because a method or technique that is not reliable for a certain study context will lead to unreliable results, and the outcomes’ interpretation (and overall academic article) will not be valuable.

In most cases, there is a wide variety of methods and procedures that you can use to explore a research topic in your academic article. The methods section should fully explain the reasons for choosing a specific methodology or technique .

Also, it’s essential that you describe the specific research methods of data collection you are going to use , whether they are primary or secondary data collection.

For primary research methods, describe the surveys, interviews, observation methods, etc.

For secondary research methods, describe how the data was originally created, gathered and which institution created and published it.

Reasons for Choosing Specific Research Methods

For this aspect that characterizes a good research methodology, indicate how the research approach fits with the general study , considering the literature review outline and format , and the following sections.

The methods you choose should have a clear connection with the overall research approach and you need to explain the reasons for choosing the research techniques in your study, and how they help you towards understanding your study’s purpose.

Data Analysis Methods

This section should also focus on information on how you intend to analyze your results .

Describe how you plan and intend to achieve an accurate assessment of the hypotheses, relationships, patterns, trends, distributions associated with your data and research purpose.

The data type, how it was measured, and which statistical tests were conducted and performed, should be detailed and reported in an accurate manner.

For explaining the data analysis methods, you should aim to answer questions, such as:

• Will your research be based on statistical analysis?
• Will you use theoretical frameworks to help you (and your Readers) analyze a set of hypotheses or relationships?
• Which data analysis methods will you choose?
• Which other Authors or studies have used the same methods and should be cited in your academic article?

Issues to Avoid

There are certain aspects that you need to pay extra attention in relation to your research methodology section. The most common issues to avoid are:

• Irrelevant details and complicated background information that provides too information and does not provide accurate understanding for Readers
• Unnecessary description and explanations of basic or well-known procedures, for an academic audience who is already has a basin understanding of the study
• For unconventional research approaches, it is important to provide accurate details and explain why your innovative method contributes to general knowledge (save more details for your Discussion/ Conclusion section in which you can highlight your contributions)
• Research limitations and obstacles should be described in a separate section (Research Limitations)
• The methodology should include sources and references that support your choice of methods and procedures, compared to the literature review that provides a general outlook and framework for your study.

Which aspects are you generally focusing on when writing your academic article’s research methodology section?

You may also like, related policies and links, responsibilities of the publisher in the relationship with journal editors, general duties of publisher.