Psychology Ph.D. Dissertations

Linking IRTree Estimates of Within-Person Variability in Personality to Job Performance

Date of Award

2023

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.)

Department

Psychology/Industrial-Organizational

First Advisor

Michael Zickar (Committee Chair)

Second Advisor

Wendy Watson (Other)

Third Advisor

Meagan Docherty (Committee Member)

Fourth Advisor

Samuel McAbee (Committee Member)

Abstract

The purpose of this dissertation is to examine how Item Response Theory tree (IRTree) estimates of within-person variability in personality relate with supervisor ratings of job performance. Using a combination of personality theory and a modern conceptualization of within-person variability, a series of hypotheses were developed and tested using two incumbent samples. The results suggest that the direction and magnitude of the relation between IRTree estimates of within-person variability in personality and supervisor ratings of job performance depends on the level at which within-person variability is estimated (within or across Big Five domains) and the level at which performance is measured (broad or specific dimensions of job performance). The implications of these findings as well as limitations and future directions are discussed.

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