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WE (SOMETIMES) KNOW NOT HOW WE FEEL: PREDICTING JOB PERFORMANCE WITH AN IMPLICIT MEASURE OF TRAIT AFFECTIVITY
Author(s) -
JOHNSON RUSSELL E.,
TOLENTINO ANNA L.,
RODOPMAN OZGUN B.,
CHO EUNAE
Publication year - 2010
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.2009.01166.x
Subject(s) - psychology , negative affectivity , trait , variance (accounting) , social psychology , task (project management) , supervisor , measure (data warehouse) , positive affectivity , cognitive psychology , personality , accounting , management , database , computer science , economics , political science , law , business , programming language
In this study we examined relationships between trait affectivity and work performance. However, because trait affectivity is believed to operate primarily outside awareness, we assessed it using techniques designed to measure content at explicit and implicit levels. Although results were consistent across the explicit and implicit measures (i.e., positive affectivity was positively related to task performance and citizenship behavior, whereas negative affectivity was negatively related to task performance and positively related to counterproductive behavior), the implicit measure predicted greater proportions of variance in supervisor‐rated criteria and did so incremental to the explicit measure. We discuss the implications of these results for theory and practice, and highlight the potential usefulness of implicit measures for applied research.