{"title":"Meta-Analysis of Single-Case Experimental Design using Multilevel Modeling.","authors":"Eunkyeng Baek, Wen Luo, Kwok Hap Lam","doi":"10.1177/01454455221144034","DOIUrl":null,"url":null,"abstract":"<p><p>Multilevel modeling (MLM) is an approach for meta-analyzing single-case experimental designs (SCED). In this paper, we provide a step-by-step guideline for using the MLM to meta-analyze SCED time-series data. The MLM approach is first presented using a basic three-level model, then gradually extended to represent more realistic situations of SCED data, such as modeling a time variable, moderators representing different design types and multiple outcomes, and heterogeneous within-case variance. The presented approach is then illustrated using real SCED data. Practical recommendations using the MLM approach are also provided for applied researchers based on the current methodological literature. Available free and commercial software programs to meta-analyze SCED data are also introduced, along with several hands-on software codes for applied researchers to implement their own studies. Potential advantages and limitations of using the MLM approach to meta-analyzing SCED are discussed.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-11-01","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/10.1177/01454455221144034","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Multilevel modeling (MLM) is an approach for meta-analyzing single-case experimental designs (SCED). In this paper, we provide a step-by-step guideline for using the MLM to meta-analyze SCED time-series data. The MLM approach is first presented using a basic three-level model, then gradually extended to represent more realistic situations of SCED data, such as modeling a time variable, moderators representing different design types and multiple outcomes, and heterogeneous within-case variance. The presented approach is then illustrated using real SCED data. Practical recommendations using the MLM approach are also provided for applied researchers based on the current methodological literature. Available free and commercial software programs to meta-analyze SCED data are also introduced, along with several hands-on software codes for applied researchers to implement their own studies. Potential advantages and limitations of using the MLM approach to meta-analyzing SCED are 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.
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