DOI
https://doi.org/10.25035/pad.2017.003
Abstract
It has long been theorized that we can improve prediction of job-related behavior from measures of personality by identifying job characteristics that allow for the expression of individual differences (e.g., Mischel, 1968). Using O*NET data, the current paper develops a framework for job characteristics that could improve the extent to which we can predict behavior from personality. More specifically, it investigates relationships between Work Styles, Generalized Work Activities, and Work Context variables. Job characteristics varied in importance as a function of four Work Styles composites: achievement, people orientation, stability, and attention to detail, and the relationships were largely consistent with the tenants of Trait Activation Theory (Tett & Burnett, 2003). In addition to limitations and future directions, the discussion section contains implications of the current study for practitioners, including implications for hiring practices and job placement.
Recommended Citation
Burrus, Jeremy and Way, Jason D.
(2017)
"Using O*NET to Develop a Framework of Job Characteristics to Potentially Improve the Predictive Validity of Personality Measures,"
Personnel Assessment and Decisions: Number 3
:
Iss.
1
, Article 3.
DOI: https://doi.org/10.25035/pad.2017.003
Available at:
https://scholarworks.bgsu.edu/pad/vol3/iss1/3
jburrus@proexam.org
Jeremy Burrus 737 Walker Circle Iowa City, IA 52245
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