For more than four decades, researchers have used meta-analyses to synthesize data from multiple experimental studies often to draw conclusions that are not supported by individual studies. More recently, single-case experimental design (SCED) researchers have adopted meta-analysis techniques to answer research questions with data gleaned from SCED experiments. Meta-analyses enable researchers to answer questions regarding intervention efficacy, generality, and condition boundaries. Here we discuss meta-analysis techniques, the rationale for their adaptation with SCED studies, and current indices used to quantify the effect of SCED data in applied behavior analysis.

中文翻译：

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应用行为分析中的元分析和效应大小：回顾和讨论

四十多年来，研究人员使用荟萃分析来综合来自多项实验研究的数据，通常得出的结论不受个别研究的支持。最近，单案例实验设计 (SCED) 研究人员采用荟萃分析技术，用从 SCED 实验中收集的数据来回答研究问题。荟萃分析使研究人员能够回答有关干预效果、一般性和条件边界的问题。在这里，我们讨论了荟萃分析技术、它们适应 SCED 研究的基本原理，以及用于量化 SCED 数据在应用行为分析中的影响的当前指数。