Evaluating intervention effects in single‐case research designs
KJ Vannest, J Ninci - Journal of Counseling & Development, 2015 - Wiley Online Library
Journal of Counseling & Development, 2015•Wiley Online Library
Single‐case research designs have primarily relied on visual analysis for determining
treatment effects. However, current foci on evidence‐based treatment have given rise to the
development of new methods. This article presents descriptions, calculations, strengths and
weaknesses, and interpretative guidelines for 5 effect size indices: the percent of
nonoverlapping data, the percent of data exceeding the median, improvement rate
difference, nonoverlap of all pairs, and Tau‐U.
treatment effects. However, current foci on evidence‐based treatment have given rise to the
development of new methods. This article presents descriptions, calculations, strengths and
weaknesses, and interpretative guidelines for 5 effect size indices: the percent of
nonoverlapping data, the percent of data exceeding the median, improvement rate
difference, nonoverlap of all pairs, and Tau‐U.
Single‐case research designs have primarily relied on visual analysis for determining treatment effects. However, current foci on evidence‐based treatment have given rise to the development of new methods. This article presents descriptions, calculations, strengths and weaknesses, and interpretative guidelines for 5 effect size indices: the percent of nonoverlapping data, the percent of data exceeding the median, improvement rate difference, nonoverlap of all pairs, and Tau‐U.
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