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Making Sense of Single‐Case Design Effect Sizes
Author(s) -
Maggin Daniel M.,
Cook Bryan G.,
Cook Lysandra
Publication year - 2019
Publication title -
learning disabilities research and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.018
H-Index - 21
eISSN - 1540-5826
pISSN - 0938-8982
DOI - 10.1111/ldrp.12204
Subject(s) - single subject design , single blind , psychology , intervention (counseling) , outcome (game theory) , cognitive psychology , computer science , research design , statistics , mathematics , psychotherapist , medicine , randomized controlled trial , surgery , mathematical economics , psychiatry
Single‐case research methods provide a basis for demonstrating that an intervention produces a reliable change in a targeted outcome for individual cases. To supplement visual analysis of data in single‐case studies, researchers frequently report statistics—often referred to as effect sizes—to summarize study findings. The recent proliferation of effect sizes used in single‐case research can be confusing. In this article, after reviewing single‐case research, we provide an overview of common types of effect sizes used in single‐case research, including overlap metrics and within‐ and between‐participant effect sizes, and conclude with examples of these effect sizes in the single‐case literature. Our take‐home message is that effect sizes are useful complements to visual analysis when interpreting results of single‐case design research studies.