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Descriptive statistics are powerful tools for organizational research practitioners

Published online by Cambridge University Press:  14 December 2021

Jennifer Diamond Acosta  and
Scott Brooks
Jennifer Diamond Acosta*
Affiliation:
Allstate Insurance Company
Scott Brooks
Affiliation:
OrgVitality
*
*Corresponding author. Email: jdiamondacosta@gmail.com
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 14 , Issue 4 , December 2021 , pp. 481 - 485
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

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References

Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26, 1–11.10.1111/1748-8583.12090CrossRefGoogle Scholar
Bedeian, A. G. (2014). More than meets the eye: Aguide to interpreting the descriptive statistics and correlation matrices reported in management research. Academy of Management Learning and Education, 13, 121–135.10.5465/amle.2013.0001CrossRefGoogle Scholar
Cascio, W., & Boudreau, J. (2011). Investing in people: Financial impact of human resource initiatives. Pearson Education.Google Scholar
Colquitt, A. (2017) Next generation performance management: The triumph of science over myth and superstition. Information Age Publishing.Google Scholar
Gartner Inc. (2012) Analytics maturity model. https://www.gartner.com.Google Scholar
Murphy, K. (2021). In praise of table 1: The importance of making better use of descriptive statistics. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(4), 461–477.Google Scholar