Graduation Year
2018
Document Type
Thesis
Degree
M.S.
Degree Name
Master of Science (M.S.)
Degree Granting Department
Child and Family Studies
Major Professor
Andrew Samaha, Ph.D.
Committee Member
Kimberly Crosland, Ph.D.
Committee Member
Jolenea Ferro, Ph.D.
Keywords
Applied Behavior Analysis, Group Home, Hierarchal Training Model, Staff Training, Video Model, video model+assessment, behavioral skills training
Abstract
Direct-care staff working with individuals with developmental disabilities (DD) are frequently exposed to challenging behavior from residents and expected to respond correctly to challenging resident behavior, but often receive insufficient training due to lack of resources and high staff turnover (e.g., Collins, 2012; Collins, Higbee, & Salzberg, 2009; Haberlin, Beauchamp, Agnew, & O’Brien, 2009; Pelletier, McNamara, Braga-Kenyon, & Ahearn, 2010). Training methods such as Behavioral Skills Training (BST) are highly intrusive and require high amounts of resources (e.g., Parsens, Rollyson, & Reid, 2012). Research suggests technological based alternatives are more cost effective, decreases training time and response effort from management, and increases distance learning opportunities and dissemination capabilities. The purpose of this study was to evaluate the use of a hierarchical training model that incorporated video modeling, video modeling+assessment, and BST to train behavior management strategies for direct-care staff working with adults with developmental disabilities. Subjects were exposed to the most cost effective training approach first (i.e., video model) and sequentially moved to more intrusive methods (i.e., video model+assessment, & BST) as needed. All subjects implemented behavior management strategies with fidelity after exposure to technological based training alternatives (i.e., video model, video mdoel+assessment).
Scholar Commons Citation
Lynch, Elizabeth Marie, "Evaluation of a Hierarchal Training Model for Group Home Staff" (2018). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/7333