Literature DB >> 24188394

Uncovering curvilinear relationships between conscientiousness and job performance: how theoretically appropriate measurement makes an empirical difference.

Nathan T Carter1, Dev K Dalal2, Anthony S Boyce3, Matthew S O'Connell4, Mei-Chuan Kung4, Kristin M Delgado4.   

Abstract

The personality trait of conscientiousness has seen considerable attention from applied psychologists due to its efficacy for predicting job performance across performance dimensions and occupations. However, recent theoretical and empirical developments have questioned the assumption that more conscientiousness always results in better job performance, suggesting a curvilinear link between the 2. Despite these developments, the results of studies directly testing the idea have been mixed. Here, we propose this link has been obscured by another pervasive assumption known as the dominance model of measurement: that higher scores on traditional personality measures always indicate higher levels of conscientiousness. Recent research suggests dominance models show inferior fit to personality test scores as compared to ideal point models that allow for curvilinear relationships between traits and scores. Using data from 2 different samples of job incumbents, we show the rank-order changes that result from using an ideal point model expose a curvilinear link between conscientiousness and job performance 100% of the time, whereas results using dominance models show mixed results, similar to the current state of the literature. Finally, with an independent cross-validation sample, we show that selection based on predicted performance using ideal point scores results in more favorable objective hiring outcomes. Implications for practice and future research are discussed.

Mesh:

Year:  2013        PMID: 24188394     DOI: 10.1037/a0034688

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  7 in total

1.  Confirmatory Multidimensional IRT Unfolding Models for Graded-Response Items.

Authors:  Wen-Chung Wang; Shiu-Lien Wu
Journal:  Appl Psychol Meas       Date:  2015-09-01

2.  Too much of a good thing? Exploring the inverted-U relationship between self-control and happiness.

Authors:  Christopher W Wiese; Louis Tay; Angela L Duckworth; Sidney D'Mello; Lauren Kuykendall; Wilhelm Hofmann; Roy F Baumeister; Kathleen D Vohs
Journal:  J Pers       Date:  2017-06-21

3.  Utility of Alternative Effect Size Statistics and the Development of a Web-Based Calculator: Shiny-AESC.

Authors:  Don C Zhang
Journal:  Front Psychol       Date:  2018-07-17

4.  Never Too Much-The Benefit of Talent to Team Performance in the National Basketball Association: Comment on Swaab, Schaerer, Anicich, Ronay, and Galinsky (2014).

Authors:  Bartosz Gula; Nemanja Vaci; Rainer W Alexandrowicz; Merim Bilalić
Journal:  Psychol Sci       Date:  2021-01-15

5.  Curvilinear Effects of Extraversion on Socialization Outcomes Among Chinese College Students.

Authors:  Yingxin Deng; Huitian Chen; Xiang Yao
Journal:  Front Psychol       Date:  2021-06-03

6.  Fitting item response unfolding models to Likert-scale data using mirt in R.

Authors:  Chen-Wei Liu; R Philip Chalmers
Journal:  PLoS One       Date:  2018-05-03       Impact factor: 3.240

7.  Personality characteristics that are valued in teams: Not always "more is better"?

Authors:  Petru Lucian Curşeu; Remus Ilies; Delia Vîrgă; Laurenţiu Maricuţoiu; Florin A Sava
Journal:  Int J Psychol       Date:  2018-07-16
  7 in total

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