Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques

摘要: With rapid advances in the analysis of data from single-case research designs, various behavior-change indices, that is, effect sizes, can be confusing. To reduce this confusion, nine effect-size indices are described and compared. Each these examines nonoverlap between phases. Similarities differences, both conceptual computational, highlighted. Seven applied to a sample 200 published time series sets, examine their distributions. A generic meta-analytic method is presented for combining across multiple within complex designs.