COMMENTS

  1. PDF Research Involving the Secondary Use of Existing Data

    Example: Many student research projects involve secondary analysis of data that belongs to, or was initially collected by, their faculty advisor or another investigator. If the student is provided with a de- identified, non-coded data set, the use of the data does not constitute research with human subjects because there is no interaction with any individual and no identifiable private ...

  2. Secondary Qualitative Research Methodology Using Online Data within the

    This paper, therefore, presents a new step-by-step research methodology for using publicly available secondary data to mitigate the risks associated with using secondary qualitative data analysis. We set a clear distinction between overall research methodology and the data analysis method.

  3. What is Secondary Research?

    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. Example: Secondary research.

  4. Secondary Data

    Types of secondary data are as follows: Published data: Published data refers to data that has been published in books, magazines, newspapers, and other print media. Examples include statistical reports, market research reports, and scholarly articles. Government data: Government data refers to data collected by government agencies and departments.

  5. Secondary Data Analysis: Using existing data to answer new questions

    Introduction. Secondary data analysis is a valuable research approach that can be used to advance knowledge across many disciplines through the use of quantitative, qualitative, or mixed methods data to answer new research questions (Polit & Beck, 2021).This research method dates to the 1960s and involves the utilization of existing or primary data, originally collected for a variety, diverse ...

  6. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide

    Secondary analyses of large datasets provide a mechanism for researchers to address high impact questions that would otherwise be prohibitively expensive and time-consuming to study. This paper presents a guide to assist investigators interested in conducting secondary data analysis, including advice on the process of successful secondary data ...

  7. Secondary Analysis Research

    Example of a Secondary Data Analysis. An example highlighting this method of reusing one's own data is Winters-Stone and colleagues' SDA of data from four previous primary studies they performed at one institution, published in the Journal of Clinical Oncology (JCO) in 2017. Their pooled sample was 512 breast cancer survivors (age 63 ± 6 years) who had been diagnosed and treated for ...

  8. Conducting secondary analysis of qualitative data: Should we, can we

    SDA involves investigations where data collected for a previous study is analyzed - either by the same researcher(s) or different researcher(s) - to explore new questions or use different analysis strategies that were not a part of the primary analysis (Szabo and Strang, 1997).For research involving quantitative data, SDA, and the process of sharing data for the purpose of SDA, has become ...

  9. PDF Researching with secondary data

    The secondary data are from a wide range of sources: censuses, information collected by government departments, organizational records, databases maintained by universities and other research institutions, surveys conducted by universities and research institutions, and so forth. There are advantages of using secondary data for researching.

  10. PDF An Introduction to Secondary Data Analysis

    Secondary analysis of qualitative data is a topic unto itself and is not discussed in this volume. The interested reader is referred to references such as James and Sorenson (2000) and Heaton (2004). The choice of primary or secondary data need not be an either/or ques-tion. Most researchers in epidemiology and public health will work with both ...

  11. (PDF) Secondary data analysis in educational research: opportunities

    This paper asserts that secondary data analysis is a viable method to utilize in the process of inquiry when a systematic procedure is followed and presents an illustrative research application ...

  12. Secondary Data Analysis in Nursing Research: A Contemporary Discussion

    The earliest reference to the use of secondary data analysis in the nursing literature can be found as far back as the 1980's, when Polit & Hungler (1983 ), in the second edition of their classic nursing research methods textbook, discussed this emerging approach to analysis. At that time, this method was rarely used by nursing researchers.

  13. Secondary Data Analysis: Your Complete How-To Guide

    Step 3: Design your research process. After defining your statement of purpose, the next step is to design the research process. For primary data, this involves determining the types of data you want to collect (e.g. quantitative, qualitative, or both) and a methodology for gathering them. For secondary data analysis, however, your research ...

  14. (PDF) secondary data analysis

    Secondary analysis is a research methodology by which researchers use pre-existing data in order to investigate new questions or for the verification of the findings of previous works (Heaton, 2019).

  15. Cancer studies based on secondary data analysis of the... : Medicine

    The present study is the first to conduct a computational text analysis and visualization of articles indexed by PubMed on cancer research that were based on secondary data analyses of the Taiwan's NHIRD. We used various approaches, including word cloud, tokens association, and conceptions network, to visualize the content of 589 articles in ...

  16. (PDF) Analysis of secondary data: Considerations revisited

    PDF | In a recent publication, we discussed the benefits and cautions of using secondary data analyses in research on lifestyle and health behavior [1].... | Find, read and cite all the research ...

  17. Secondary Data In Research Methodology (With Examples)

    Secondary Data In Research Methodology (With Examples) Research is one of the most efficient and accurate methods for finding information about a specific topic. Companies use research to gather as much information about their industries, clientele and performance to make solve problems, find answers and decide the best way to handle a situation.

  18. 15 Secondary Research Examples (2024)

    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.

  19. What is Secondary Data? [Examples, Sources & Advantages]

    5. Advantages of secondary data. Secondary data is suitable for any number of analytics activities. The only limitation is a dataset's format, structure, and whether or not it relates to the topic or problem at hand. When analyzing secondary data, the process has some minor differences, mainly in the preparation phase.

  20. Secondary Data in Research

    In simple terms, secondary data is every. dataset not obtained by the author, or "the analysis. of data gathered b y someone else" (Boslaugh, 2007:IX) to be more sp ecific. Secondary data may ...

  21. Qualitative Secondary Analysis: A Case Exemplar

    Qualitative secondary analysis (QSA) is the use of qualitative data collected by someone else or to answer a different research question. Secondary analysis of qualitative data provides an opportunity to maximize data utility particularly with difficult to reach patient populations. However, QSA methods require careful consideration and ...

  22. Secondary Research: Definition, Methods & Examples

    Secondary research, also known as desk research, is a research method that involves compiling existing data sourced from a variety of channels. This includes internal sources (e.g.in-house research) or, more commonly, external sources (such as government statistics, organizational bodies, and the internet).

  23. Examining Linkage Factors in Stock Prices

    This study aims to determine the effect of Return on Asset (ROA), Return on Equity (ROE), Net Profit Margin (NPM), and Earning per Share (EPS) on stock prices in companies included in the LQ45 index and listed on the Indonesia Stock Exchange for the 2019-2021 period. The sample was determined by purposive sampling technique. The sample in this study were 10 issuers. This research is ...

  24. (PDF) Comparative Research Using Secondary Data Analysis: Exploring

    According to Johnston (2014), secondary data are gathered for the second time and are already obtainable in other sources. The secondary analysis makes complex research questions feasible for ...