Psychology Ph.D. Dissertations
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.
Recommended Citation
King, Rachel Throop, "Using MM-IRT-C to Explore the Relationship between Depression and Pre-employment Tests" (2017). Psychology Ph.D. Dissertations. 195.
https://scholarworks.bgsu.edu/psychology_diss/195