Correcting turnover correlations: A critique

Chuck R Williams; L. H. Peters

doi:10.1177/109442819800100105

Correcting turnover correlations: A critique

Research output: Contribution to journal › Article › peer-review

Abstract

In this article, the authors argue that turnover correlations do not need to be corrected. First, they maintain that correction formulas cannot correct for poor construct validity. Second, they discuss the original purposes of turnover correction formulas. Third, the authors describe the logical fallacies of correcting turnover correlations. Finally, they show why turnover correlations are not, as is widely believed, statistically limited to a maximum of .80.

Original language	American English
Journal	Scholarship and Professional Work - Business
Volume	1
Issue number	1
DOIs	https://doi.org/10.1177/109442819800100105
State	Published - Jan 1 1998

Keywords

human resources management research
labor turnover
turnover correlations

Disciplines

Business
Organizational Behavior and Theory
Other Psychology

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title = "Correcting turnover correlations: A critique",

abstract = " In this article, the authors argue that turnover correlations do not need to be corrected. First, they maintain that correction formulas cannot correct for poor construct validity. Second, they discuss the original purposes of turnover correction formulas. Third, the authors describe the logical fallacies of correcting turnover correlations. Finally, they show why turnover correlations are not, as is widely believed, statistically limited to a maximum of .80.",

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AB - In this article, the authors argue that turnover correlations do not need to be corrected. First, they maintain that correction formulas cannot correct for poor construct validity. Second, they discuss the original purposes of turnover correction formulas. Third, the authors describe the logical fallacies of correcting turnover correlations. Finally, they show why turnover correlations are not, as is widely believed, statistically limited to a maximum of .80.

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Correcting turnover correlations: A critique

Abstract

Keywords

Disciplines

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