The Repository @ St. Cloud State

Open Access Knowledge and Scholarship

Date of Award

5-2026

Culminating Project Type

Thesis

Styleguide

apa

Degree Name

Applied Behavior Analysis: M.S.

Department

Community Psychology, Counseling and Family Therapy

College

School of Health and Human Services

First Advisor

Dr. Michele Traub

Second Advisor

Dr. Odessa Luna

Third Advisor

Dr. Eunju Choi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

Burnout, ABA, Clinical Research, Turnover, Behavioral Measures

Abstract

Burnout among staff in Applied Behavior Analysis (ABA) clinical settings poses a significant threat to both workforce stability and quality of care. Burnout, characterized by emotional exhaustion, depersonalization, and reduced personal achievement, is often driven by high-intensity schedules, frequent exposure to challenging behaviors, and chronic staffing shortages. From a behavioral perspective, burnout-related behaviors (e.g., call-outs, reduced treatment fidelity, disengagement) may be maintained by negative reinforcement, as staff attempt to escape or avoid aversive working conditions. These patterns can disrupt continuity of care and compromise client outcomes, especially when service delivery becomes inconsistent or procedurally incorrect. Additionally, experienced and full-time staff may be at greater risk due to prolonged exposure to these demands, with limited opportunities for recovery. Understanding burnout through both organizational and behavioral frameworks is essential for developing interventions that improve staff retention, enhance treatment fidelity, and promote sustainable clinical environments. Participants completed various self-report surveys, interviews, and rating scales, while the experimenter observed behaviors and environmental conditions. Although the results suggest that burnout can be linked to staffing shortages, inadequate participation across roles and teams, limited data collection, and visual analyses. Further research directions are discussed.

Available for download on Wednesday, April 14, 2027

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