Electronic Theses and Dissertations
Date
2023
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Department
Counseling Psychology
Committee Chair
Ashley Batastini
Committee Member
Owen R Lightsey
Committee Member
Suzanne H Lease
Committee Member
Frances Ellmo
Committee Member
Eraina Schauss
Abstract
Justice-involved persons, especially people of color and those convicted of a sexual offense, experience bias and other barriers when seeking employment. However, there is no research on the synergistic effects of race and sexual criminal offense on employment-related outcomes. This study examined whether a hypothetical job applicant’s race (Black vs. White) and/or sexual criminal offense history (sexual, non-sexual, or no history) impacted hiring decisions and related employment-related outcomes among 476 volunteers recruited from Amazon Mechanical Turk. Participants were randomly assigned to one of six conditions in which they read mock job application materials that varied based on the applicant’s identified race and criminal history. Results revealed no significant main effects of applicant race and no interaction between applicant race and offense history across all employment-related outcomes. However, participants were least likely to endorse hiring the applicant and desired greater social distance (a measure of stigmatizing attitudes) from the applicant if he had a prior sexual offense, even though participants expected him to perform similarly at the job relative to applicants described as having a non-sexual offense. This finding suggests applicants with a known sexual offense history may be more frequently passed up for jobs than other justice-involved applicants for reasons unrelated to the job itself.
Library Comment
Dissertation or thesis originally submitted to ProQuest.
Notes
Open Access
Recommended Citation
Patel, Meera, "Who’s at the Bottom of the Hiring List? Exploring the Compounding Effects of Applicant Race and Offense History on Employability" (2023). Electronic Theses and Dissertations. 3150.
https://digitalcommons.memphis.edu/etd/3150
Comments
Data is provided by the student.”