Abstract
Single-case research designs (SCRDs) are a vital tool to study a variety of topics pertinent to the counseling profession. Furthermore, SCRDs are a flexible methodology that counselors can use to assess the effectiveness of their treatments, thus acting as scientist-practitioners. We aimed to report the types of data analytic procedures used in counseling SCRDs to evaluate intervention effects. We searched 42 counseling affiliated journals between the years 2015 to 2021 and identified 50 SCRD studies. Results suggested all studies used visual analysis, yet few studies reported quantitative information that align with the recommended data characteristics to evaluate for visual analysis. The most prevalent effect sizes used were non-overlap indices, with percentage of data exceeding the median being the most frequent. No studies reported between-case metrics and few cases reported within-case metrics that capture magnitude of change. We discuss recommendations for making a priori data analytic decisions as well as strengths and limitations in available options.
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