Counterproductive Behaviors: Relations Across Life Domains, Etiology, and Implications for Applied Practice

14 Pages Posted: 9 May 2017

See all articles by Kevin C. Stanek

Kevin C. Stanek

University of Minnesota - Minneapolis; Gilead Sciences; preValio

Deniz S. Ones

University of Minnesota

Matt McGue

University of Minnesota - Twin Cities - Department of Psychology

Date Written: June 2017

Abstract

Previous research on counterproductive work behavior (CWB) has shown that workplace deviance can be predicted from individual differences and environmental variables, but relatively little is known about CWBs’ relations with counterproductive behaviors in other domains of an individual's life. Data from 500 male twins were used to examine relations among counterproductive behaviors from several life domains, including school, non‐work, substance use, and work. The results supported the hypotheses that counterproductivity in work and a variety of personal life domains, previous and contemporaneous, are strongly and positively related. A general counterproductivity factor, giving rise to rule‐ and norm‐breaking behavioral repertoire of individuals, accounted for approximately half the variance across measures of counterproductivity in specific life domains. To inform theory and research, the etiology of inter‐individual differences in counterproductivity was examined. Biometric analyses revealed that most of the variance in the counterproductivity domains examined, including CWB, is attributable to genetic and unique (nonshared) environmental factors. The general counterproductivity factor spanning different counterproductivity domains was most influenced by genetic factors (75.4%), but was also influenced by unique environmental factors (24.6%). Biometric analyses indicated that 27% of the variance in CWB is attributable to genetic influences arising from the general factor of counterproductivity and 20% from genetic factors specific to CWB. Unique environmental influences associated with the work domain explained 12% of the variance in CWB. For the CWB criterion, regression analyses explored the usefulness of information from other counterproductivity domains for prediction and employee selection. Counterproductivity from academic and non‐work domains are potent predictors of counterproductivity at work (multiple Rs ranging between .50 and .54).

Suggested Citation

Stanek, Kevin C. and Ones, Deniz S. and McGue, Matt, Counterproductive Behaviors: Relations Across Life Domains, Etiology, and Implications for Applied Practice (June 2017). International Journal of Selection and Assessment, Vol. 25, Issue 2, pp. 111-124, 2017, Available at SSRN: https://ssrn.com/abstract=2965198 or http://dx.doi.org/10.1111/ijsa.12164

Kevin C. Stanek (Contact Author)

University of Minnesota - Minneapolis ( email )

110 Wulling Hall, 86 Pleasant St, S.E.
308 Harvard Street SE
Minneapolis, MN 55455
United States

Gilead Sciences

333 Lakeside Dr
Foster City, CA 94404
United States

preValio ( email )

CA
United States

Deniz S. Ones

University of Minnesota ( email )

Department of Psychology
75 East River Road
Minneapolis, MN 55455
United States

HOME PAGE: http://www.psych.umn.edy/faculty/ones

Matt McGue

University of Minnesota - Twin Cities - Department of Psychology ( email )

Minneapolis, MN 55455
United States

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