Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-10T11:51:37.279Z Has data issue: false hasContentIssue false

Descriptive statistics are powerful tools for organizational research practitioners

Published online by Cambridge University Press:  14 December 2021

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

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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, 111.10.1111/1748-8583.12090CrossRefGoogle 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, 121135.10.5465/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), 461477.Google Scholar