Dissertation/Thesis Abstract

Predicting Turnover Cognition in Applied Behavior Analysis Supervisors
by Theisen, Benjamin, Ph.D., The Chicago School of Professional Psychology, 2018, 124; 10934198
Abstract (Summary)

The study looked for predictors of turnover cognition among program supervisors at various applied behavior analysis organizations. A hierarchical regression model (n = 248) tested whether burnout moderated effects of training hours on turnover cognition, and whether burnout moderated effects of training procedures on turnover cognition. The best model (R 2 = .719, delta F (2, 239) = 3.22, p = .042) did not detect burnout. Results were interpreted using the Conservation of Resources theory. Recommendations for researchers and organizations planning supervisor retention programs were provided.

Indexing (document details)
Advisor: Gorjian, Niary
Commitee: Miller, Robert, Rosen, Ian
School: The Chicago School of Professional Psychology
Department: Business Psychology: Consulting Track
School Location: United States -- Illinois
Source: DAI-A 80/03(E), Dissertation Abstracts International
Subjects: Business administration, Statistics
Keywords: Autism intervention, Burnout, Factor analysis, Multiple regression, Supervision, Turnover cognition
Publication Number: 10934198
ISBN: 978-0-438-56478-7
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