Secondary analysis: large, archival databases and big data

Gwenith G. Fisher, Kimberly A. French and Joshua Prasad

Chapter 13 in How to Conduct and Publish High-Quality Research in Industrial-Organizational Psychology, 2025, pp 171-184 from Edward Elgar Publishing

Abstract: This chapter describes secondary analysis of archival data and big data. In other words, we describe the analysis of pre-existing data as a useful approach to conducting research in industrial-organizational (I-O) psychology. During the last few decades, there has been a general increase in access to and use of various archival data sources. In this chapter we define archival data and big data and explain the relevance of these approaches to the field of I-O psychology. We offer a variety of examples published in top I-O psychology journals to illustrate how archival data and secondary data analysis have contributed to the field. We describe a few analytical techniques that have been used with these data. We conclude the chapter with specific recommendations for each stage of the research process to facilitate research and publication using secondary analysis and archival data.

Keywords: Secondary analysis; Archival data; Archival datasets; Data archives; Big data; Existing data (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035307739
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