Date of Award
Master of Arts in Applied Behavior Analysis and Clinical Science
Supervising Faculty Member
Identifying and evaluating dependent variables within functional analyses are essential steps that affect the assessment's overall acceptability. Although most of the studies on functional analyses suggest that measuring repeated occurrences of behavior with rate measurements generates the most accurate data, several researchers suggest using alternative measurement methods to avoid the heavy burden of the procedure. In the present study, I partially replicated a study by Thomason-Sassi and colleagues (2011) that evaluated the correspondence between latency measures of responding and rate. Additionally, trial-based measurements, such as the occurrence of the behavior, represented in the percentage of trials, were compared with rate measurements. The research outcomes have shown that trial-based measurements could be useful measures of responding when latency and rate are impractical to arrange or undesirable due to the heavier observer burden these measurements represent. The results indicate a correspondence between the three measurement methods. Implications for trial-based measurements and future directions for research are discussed.
Belichenko, Vasily, "Trial-based Measurements as an Index of Response Strength" (2022). Thesis Projects. 40.