Education Commons^™

Evaluating Count Outcomes In Synthesized Single-Case Designs With Multilevel Modeling: A Simulation Study, Kirstie L. Bash

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Complex statistical techniques such as multilevel modeling (MLM) ideally require substantial sample sizes in order to avoid assumption violations. Unfortunately, large between-subjects sample sizes can be impractical and, in some cases, impossible in real-world applications. The use of single-case designs (SCD) allow researchers to overcome this issue. The ability to handle non-normal outcomes appropriately in such single-case designs, however, remains unclear, especially when the outcome reflects recurrent event (count) data.

The purpose of this study is to evaluate the utility of MLM for evaluating recurrent event outcomes in synthesized single-case designs. More specifically, this study seeks to determine the effects …