{"title":"A Meta-Visual-Analysis of Single-Case Experimental Design Research.","authors":"Chad E L Kinney, Art Dowdy, Katie Wolfe","doi":"10.1177/01454455251320686","DOIUrl":null,"url":null,"abstract":"<p><p>Visual analysis is the primary method to detect functional relations in single-case experimental design (SCED) research. Meta-Visual-Analysis (MVA) is a novel approach used to synthesize SCED data where the estimated effect size measures are principally anchored to primary aspects of visual analysis: change in the magnitude of level, trend, variability, and trend-adjusted level of projected trends. For each of these aspects, percentage point differences between baseline and intervention conditions are estimated and quantified for every participant across studies. MVA effect sizes are standardized, and their aggregates are graphically displayed in a manner similar to individual SCED graphs. MVA graphs are compared and visually analyzed with the aim of better understanding the effectiveness and generality of interventions across SCED studies. In this discussion paper we provide general steps to conduct an MVA and describe MVA's utility in reviewing, organizing, and directing future SCED research syntheses.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":" ","pages":"1454455251320686"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavior Modification","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/01454455251320686","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Visual analysis is the primary method to detect functional relations in single-case experimental design (SCED) research. Meta-Visual-Analysis (MVA) is a novel approach used to synthesize SCED data where the estimated effect size measures are principally anchored to primary aspects of visual analysis: change in the magnitude of level, trend, variability, and trend-adjusted level of projected trends. For each of these aspects, percentage point differences between baseline and intervention conditions are estimated and quantified for every participant across studies. MVA effect sizes are standardized, and their aggregates are graphically displayed in a manner similar to individual SCED graphs. MVA graphs are compared and visually analyzed with the aim of better understanding the effectiveness and generality of interventions across SCED studies. In this discussion paper we provide general steps to conduct an MVA and describe MVA's utility in reviewing, organizing, and directing future SCED research syntheses.
期刊介绍：
For two decades, researchers and practitioners have turned to Behavior Modification for current scholarship on applied behavior modification. Starting in 1995, in addition to keeping you informed on assessment and modification techniques relevant to psychiatric, clinical, education, and rehabilitation settings, Behavior Modification revised and expanded its focus to include treatment manuals and program descriptions. With these features you can follow the process of clinical research and see how it can be applied to your own work. And, with Behavior Modification, successful clinical and administrative experts have an outlet for sharing their solutions in the field.
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