Psychology Ph.D. Dissertations

Title

Using MM-IRT-C to Explore the Relationship between Depression and Pre-employment Tests

Date of Award

2017

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.)

Department

Psychology/Industrial-Organizational

First Advisor

Michael Zickar (Advisor)

Second Advisor

Russell Matthews (Committee Member)

Third Advisor

John Tisak (Committee Member)

Fourth Advisor

Virginia Dubasik (Other)

Abstract

This research examines personality test response patterns between individuals with depression and without depression, and how the relationship between depression and employment testing relates to job performance. MM-IRT-C was used to analyze the Big Five for latent classes, and to determine if the latent classes that emerged could be explained by depression and social desirability as covariates. Results showed that social desirability was an important covariate in explaining the latent classes that emerged across the Big Five, but that depression was not a significant covariate for most personality constructs. Details of the latent class analyses and implications are discussed.

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