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Direct linkDavis, Dawn H.; Gagne, Phill; Fredrick, Laura D.; Alberto, Paul A.; Waugh, Rebecca E.; Haardorfer, Regine – Behavior Modification, 2013
The purpose of this article is to demonstrate how hierarchical linear modeling (HLM) can be used to enhance visual analysis of single-case research (SCR) designs. First, the authors demonstrated the use of growth modeling via HLM to augment visual analysis of a sophisticated single-case study. Data were used from a delayed multiple baseline…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Research Design, Case Studies
Parker, Richard I.; Vannest, Kimberly J.; Davis, John L. – Behavior Modification, 2011
With rapid advances in the analysis of data from single-case research designs, the various behavior-change indices, that is, effect sizes, can be confusing. To reduce this confusion, nine effect-size indices are described and compared. Each of these indices examines data nonoverlap between phases. Similarities and differences, both conceptual and…
Descriptors: Research Design, Effect Size, Case Studies, Behavior Change
Parker, Richard I.; Hagan-Burke, Shanna – Behavior Modification, 2007
This article takes a further look at the percentage of data points exceeding the median (PEM) analysis method for single-case research data, first presented in this journal by Hsen-Hsing Ma. Ma examined the relationship between PEM and the established percentage of nonoverlapping data (PND) and then applied PEM in a meta-analysis of 61 data sets,…
Descriptors: Research Design, Meta Analysis, Case Studies, Outcomes of Treatment
