Graduation Year
2025
Document Type
Thesis
Degree
M.S.
Degree Name
Master of Science (M.S.)
Degree Granting Department
Child and Family Studies
Major Professor
Sarah E. Bloom, Ph.D., BCBA-D
Committee Member
Catia Cividini-Motta, Ph.D., BCBA-D
Committee Member
Kimberly Crosland, Ph.D., BCBA-D
Keywords
assessment, social reinforcement, social stimuli, systematic approach
Abstract
This study examined the benefits of using descriptive analysis (DA)-informed functional analysis(FA) conditions to determine the functional relationship between problem behaviors and the topography of attention maintaining them. Three male participants completed the study, ranging in age from 7-12 years. Following indirect assessments with care providers, a DA was conducted during four 15-min observations. The results of the DA were used to calculate the probability of a specific topography of attention following a problem behavior P(SR/B) and the unconditional probability of a specific topography of attention in the absence of problem behavior divided by all occurrences of that topography UP(SR-B/SR). These calculations were used to determine the topographies of attention with the highest and the lowest conditional probabilities, which were delivered in separate FA conditions. Also included were a traditional attention (mild reprimand) condition, escape condition, and play (control) condition. The results of this study determined that using DA-informed FA conditions was beneficial for two of the three participants who completed the study. The results also showed that including the DA-informed attention conditions in the FA did not cause inappropriate or inaccurate results for any of the participants, and for one participant, using the DA-informed FA conditions may have been necessary for accurately determining attention as a function of problem behavior.
Scholar Commons Citation
Loupe, Sarah M., "Using A Descriptive Analysis and Functional Analysis to Determine the Topography of Attention for Attention-Maintained Problem Behaviors" (2025). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10974
