Keywords
Mistreatment, group differences
Abstract
Workplace mistreatment, such as discrimination, bullying, and incivility, affect thousands of individuals annually and cost U.S. organizations up into the billions of dollars each year in settlement costs, lost employee productivity, and poor employee health. Given the pervasive cost and prevalence of workplace mistreatment, research on this subject remains important. The purpose of the current research is to provide academics, practitioners, and policy makers with a comprehensive understanding of the nature of perceived workplace mistreatment by determining if subgroups (e.g. men versus women) within individual difference groups (sex, race, age, and organizational tenure) differ in magnitude of perceived workplace mistreatment. Meta-analytic methods were used to determine if and to what degree subgroups differences in perceived workplace mistreatment exist. Mistreatment type (e.g. bullying, harassment, incivility), source of mistreatment, and measurement item type and response scale were examined as potential moderators of these differences. The results suggest that there are minimal differences between subgroups of individual difference groups in the perception of workplace mistreatment, regardless of mistreatment type, mistreatment source, or mistreatment measure. Theoretical and practical implications of this research are discussed in addition to limitations and suggestions for future research.
Notes
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Graduation Date
2014
Semester
Spring
Advisor
Joseph, Dana
Degree
Master of Science (M.S.)
College
College of Sciences
Department
Psychology
Degree Program
Industrial and Organizational Psychology
Format
application/pdf
Identifier
CFE0005208
URL
http://purl.fcla.edu/fcla/etd/CFE0005208
Language
English
Release Date
5-15-2019
Length of Campus-only Access
5 years
Access Status
Masters Thesis (Open Access)
Subjects
Dissertations, Academic -- Sciences; Sciences -- Dissertations, Academic
STARS Citation
McCord, Mallory, "Group Differences in Perceived Workplace Mistreatment: A Meta-Analysis" (2014). Electronic Theses and Dissertations. 4654.
https://stars.library.ucf.edu/etd/4654