Advisor

Softas-Nall, Basilia

Committee Member

Wright, Stephen L.

Committee Member

Helm, Heather M.

Committee Member

Dunn, Thomas

Department

Counseling Psychology

Institution

University of Northern Colorado

Type of Resources

Text

Place of Publication

Greeley (Colo.)

Publisher

University of Northern Colorado

Date Created

8-2017

Genre

Thesis

Extent

222 pages

Digital Origin

Born digital

Abstract

The following study examined how self-compassion and shame effect the relationship between adaptive/maladaptive perfectionism and depression. Hierarchical multiple regression was used to examine the predictive role of adaptive/maladaptive perfectionism, shame, and self-compassion on depression. This study included a sample size of 226 undergraduate and graduate students from a university in the Rocky Mountain region. Results from the multiple regression analysis found maladaptive perfectionism was a significant predictor of depression (β = .540, p < .01), which supported findings from previous research. When shame and self-compassion were included, results indicated self-compassion (β = -.257, p < .01) and shame (β = .382, p < .01) were full mediators in the relationship between maladaptive perfectionism (β = .035, p = .707) and depression. The change in significance for maladaptive perfectionism from β = .540 to β = .035 was statistically significant (p < .01) showing important mediating effects of self-compassion and shame. Interestingly, adaptive perfectionism was found to act as a suppressor variable in this study; which provided important theoretical and methodological implications for future research. Overall, results emphasized the importance of targeting decreasing shame and increasing self-compassion for those with depression and maladaptive perfectionistic behaviors and beliefs.

Notes

Recipient of Dean's Citation for Excellence

Degree type

PhD

Degree Name

Doctoral

Language

English

Local Identifiers

Barritt_unco_0161D_10578

Rights Statement

Copyright is held by the author.

Share

COinS