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      The consecutive controlled case series: Design, data-analytics, and reporting methods supporting the study of generality : Consecutive Controlled Case Series

      1 , 2
      Journal of Applied Behavior Analysis
      Wiley

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          Abstract

          <p class="first" id="d4233587e61">Single-case experimental designs (SCEDs) have proven invaluable in research and practice because they are optimal for asking many experimental questions relevant to the analysis of behavior. The consecutive controlled case series (CCCS) is a type of study in which a SCED is employed in a series of consecutively encountered cases that undergo a common procedure or share a common characteristic. Additional design elements, data-analytic, and reporting methods enable researchers to ask experimental questions relevant to the study of generality of procedures and processes. The current paper discusses the CCCS methodologies, including the retrospective, prospective, and randomized CCCS. These methodologies can be applied to examine the generality of clinical procedures (including their general efficacy, the limits of their generality, and variables that may mediate generality); study the epidemiology and phenomenology of clinical problems; and compare the efficacy of 2 clinical procedures within a randomized controlled trial combining SCEDs with randomized group designs. </p>

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          Author and article information

          Journal
          JABA
          Journal of Applied Behavior Analysis
          Jnl of Applied Behav Analysis
          Wiley
          00218855
          April 2020
          April 2020
          March 03 2020
          : 53
          : 2
          : 596-619
          Affiliations
          [1 ]Kennedy Krieger Institute
          [2 ]Johns Hopkins University School of Medicine
          Article
          10.1002/jaba.691
          32125716
          0e2fbbc4-1bd0-487a-8de9-12f8f22537f0
          © 2020

          http://doi.wiley.com/10.1002/tdm_license_1.1

          http://onlinelibrary.wiley.com/termsAndConditions#vor

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