Date of Award

Summer 7-2023

Degree Type


Degree Name

Doctor of Philosophy (PhD)



Committee Chair

Melanie Leuty, Ph.D.

Committee Chair School


Committee Member 2

Richard Mohn, Ph.D.

Committee Member 2 School


Committee Member 3

Leslie Oglesby, Ph.D.

Committee Member 3 School

Health Professions

Committee Member 4

Emily Yowell, Ph.D.

Committee Member 4 School



The ability of university counseling centers (UCCs) to meet the increased demand for service by students is becoming an increasing concern. While UCCs are seeing more students than ever, this increased demand has not been met with an increase in resources. As such, UCC clinicians are at a greater risk for developing burnout. However, according to the Demand – Control – Support Model, this risk could be reduced if UCC staff were afforded higher degrees of control over the resources they do have and received adequate support and acknowledgement for the work they accomplish. Through surveying 339 UCC clinicians in the United States, this study investigated whether clinicians at UCCs who have implemented a Stepped Care model for service delivery report lower degrees of burnout and greater degrees of job satisfaction and organizational commitment through the lens of the Demand – Control – Support model. While the Stepped Care group was not found to differ from the No Stepped Care group on burnout, job satisfaction, or organizational commitment, this study provided support for most of the proponents of the Demand – Control – Support Model. Specifically, job demands were significantly related to burnout and job satisfaction; control was significantly related to burnout, job satisfaction, and organizational commitment; and support was significantly related to job satisfaction and organizational commitment. Control over one’s job and organizational support were also analyzed as potential moderators in the relationships between job demands and burnout, job satisfaction, and organizational commitment, however, these variables were not found to serve as statistically significant buffers in these relationships.