Corey Peltier, John William McKenna, Wilhelmina van Dijk
{"title":"Investigation of Two Preliminary Analysis-Altering Elements: Ordinate Scaling and DPPXYR.","authors":"Corey Peltier, John William McKenna, Wilhelmina van Dijk","doi":"10.1177/01454455231221289","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this pre-registered study (Peltier & McKenna) was to conceptually replicate if the truncation of the ordinate and DPPXYR increased analysts' estimation of a functional relation and magnitude of treatment effect. Visual analysts (<i>n</i> = 27) evaluated eight data sets reporting null (<i>n</i> = 2), small (<i>n</i> = 2), moderate (<i>n</i> = 2), and large (<i>n</i> = 2) effects. Each data set was graphed six times with manipulations of the ordinate and DPPXYR, resulting in 48 ABAB graphs. We estimated two separate three-level mixed effect models with variations nested in datasets and nested in participants to evaluate the impact of graph characteristics for (1) confidence in determining a functional relation and (2) the estimated magnitude of the treatment effect. We included ordinate scaling and DPPXYR at level 1 and graph effect size at level 2, including all interactions. Overall, graph manipulation consistently did not impact confidence in a functional relation. Results suggest mixed findings for graph manipulation on the estimated magnitude of the treatment effect. Findings will be couched in current literature and recommendations for graph construction and future research will be discussed.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-05-01","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/10.1177/01454455231221289","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this pre-registered study (Peltier & McKenna) was to conceptually replicate if the truncation of the ordinate and DPPXYR increased analysts' estimation of a functional relation and magnitude of treatment effect. Visual analysts (n = 27) evaluated eight data sets reporting null (n = 2), small (n = 2), moderate (n = 2), and large (n = 2) effects. Each data set was graphed six times with manipulations of the ordinate and DPPXYR, resulting in 48 ABAB graphs. We estimated two separate three-level mixed effect models with variations nested in datasets and nested in participants to evaluate the impact of graph characteristics for (1) confidence in determining a functional relation and (2) the estimated magnitude of the treatment effect. We included ordinate scaling and DPPXYR at level 1 and graph effect size at level 2, including all interactions. Overall, graph manipulation consistently did not impact confidence in a functional relation. Results suggest mixed findings for graph manipulation on the estimated magnitude of the treatment effect. Findings will be couched in current literature and recommendations for graph construction and future research will be discussed.
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.