Abstract

Utility analysis suggests that human resources policies can have an economically significant impact on business organizations. Confidence in such conclusions, however, requires an accurate estimate of SD y . This article provides a validity check on prevailing subjective methods of SD y estimation by directly estimating SD y from unique field data. Using both simulated and field data, we first illustrate the range of potential bias associated with predictor unreliability in regression analysis and show how to calculate corrected values. We then discuss the methodological problems of directly estimating SD y with organizational data and provide a range of estimates for SD y . Our direct estimation of SD y yielded values ranging from 74% to 100% of mean salary, which are considerably greater than conventional subjective judgments

Keywords

PsychologySocial psychologyEconometricsMathematical economicsMathematics

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Publication Info

Year
1992
Type
article
Volume
77
Issue
3
Pages
227-233
Citations
65
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

65
OpenAlex
4
Influential
37
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Cite This

Brian E. Becker, Mark A. Huselid (1992). Direct estimates of SDy and the implications for utility analysis.. Journal of Applied Psychology , 77 (3) , 227-233. https://doi.org/10.1037/0021-9010.77.3.227

Identifiers

DOI
10.1037/0021-9010.77.3.227

Data Quality

Data completeness: 77%