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Sampling in Industrial–Organizational Psychology Research: Now What?

Published online by Cambridge University Press:  28 July 2015

Gwenith G. Fisher  and
Kyle Sandell
Gwenith G. Fisher*
Affiliation:
Colorado State University
Kyle Sandell
Affiliation:
Colorado State University
*
Correspondence concerning this article should be addressed to Gwenith G. Fisher, Department of Psychology, 1876 Campus Delivery, Colorado State University, Fort Collins, CO 80523–1876. E-mail: [email protected]
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Extract

We agree with the authors of the focal article that too little attention is paid to sampling in industrial–organizational (I-O) psychology research. Upon reflection and in response to the focal article by Landers and Behrend (2015), we answer three primary questions: (a) What is it about our training, science, and practice as I-O psychologists that has led to less focus on sampling issues? (b) Does it matter? (c) If so, then what should we do about it?

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 8 , Issue 2 , June 2015 , pp. 232 - 237
Copyright
Copyright © Society for Industrial and Organizational Psychology 2015 

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References

Baruch, Y., & Holtom, B. C. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61 (8), 1139–1160.CrossRefGoogle Scholar
Biemer, P. P., Groves, R. M., Lyberg, L. E., Mathiowetz, N. A., Sudman, S. (Eds.). (2011). Measurement errors in surveys. San Francisco, CA: Wiley.Google Scholar
Byrne, Z. S., Hayes, T. L., McPhail, S. M., Hakel, M. D., Cortina, J. M., & McHenry, J. J. (2014). Educating industrial–organizational psychologists for science and practice: Where do we go from here? Industrial and Organizational Psychology: Perspectives on Science and Practice, 7 (1), 2–14Google Scholar
DeNisi, A. S. (2013). An I/O psychologist's perspective on diversity and inclusion in the workplace. In Ededs, B., Ferdman, M., & Deane, B. R. (Eds.), Diversity at work: The practice of inclusion (pp. 564–579). San Francisco, CA: Wiley.CrossRefGoogle Scholar
Groves, R. M., & Couper, M. P. (2002). Designing surveys acknowledging nonresponse. In Ploeg, M. Ver, Moffitt, R. A., & Citro, C. F. (Eds.), Studies of welfare populations: Data collection and research issues (pp. 13–54). Washington, DC: National Academy Press.Google Scholar
Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2009). Survey methodology (2nd ed.). New York, NY: Wiley.Google Scholar
Grzywacz, J. G., Carlson, D. S., & Reboussin, B. A. (2013). A primer on sampling. In Grzywacz, J. G. & Demerouti, E. (Eds.), New frontiers in work and family research (pp. 110–132). New York, NY: Psychology Press.CrossRefGoogle Scholar
Guion, R. M. (1998). Assessment, measurement, and prediction for personnel decisions. Mahwah, NJ: Erlbaum.Google Scholar
Hanges, P. J., & Wang, M. (2012). Seeking the Holy Grail in organizational science: Uncovering causality through research design. In Kozlowski, S. (Ed.), The Oxford handbook of organizational psychology (pp. 79–116). New York, NY: Oxford.CrossRefGoogle Scholar
Hough, L. M., & Connelly, B. S. (2013). Personality measurement and use in industrial and organizational psychology. In Geisinger, K. F. (Ed.), APA handbook of testing and assessment in psychology: Vol. 1. Test theory and testing and assessment in industrial and organizational psychology (pp. 457–476). Washington, DC: American Psychological Association.Google Scholar
Landers, R. N., & Behrend, T. S. (2015). An inconvenient truth: Arbitrary distinctions between organizational, Mechanical Turk, and other convenience samples. Industrial and Organizational Psychology: Perspectives on Science and Practice.Google Scholar
Rogelberg, S. G., & Stanton, J. M. (2007). Understanding and dealing with organizational survey nonresponse. Organizational Research Methods, 10 (2), 195–209.CrossRefGoogle Scholar
Rynes, S. (2012). The research-practice gap in I/O psychology and related fields. In Kozlowski, S. (Ed.), The Oxford Handbook of organizational psychology (pp. 409–452). New York, NY: Oxford.Google Scholar
Schmidt, F. L., & Hunter, J. E. (2014). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage.Google Scholar
Shen, W., Kiger, T. B., Davies, S. E., Rasch, R. L., Simon, K. M., & Ones, D. S. (2011). Samples in applied psychology: Over a decade of research in review. Journal of Applied Psychology, 96 (5), 1055–1064.Google Scholar