Behavior Modification最新文献

{"title":"Rethinking Research on Prediction and Prevention of Psychotherapy Dropout: A Mechanism-Oriented Approach.","authors":"Andrew A Cooper, Alexander C Kline, Allison L Baier, Norah C Feeny","doi":"10.1177/0145445518792251","DOIUrl":"10.1177/0145445518792251","url":null,"abstract":"Dropout is a ubiquitous psychotherapy outcome in clinical practice and treatment research alike, yet it remains a poorly understood problem. Contemporary dropout research is dominated by models of prediction that lack a strong theoretical foundation, often drawing on data from clinical trials that report on dropout in an inconsistent and incomplete fashion. In this article, we assert that dropout is a critical treatment outcome that is worthy of investigation as a mechanistic process. After briefly describing the scope of the dropout problem, we discuss the many factors that limit the field’s present understanding of dropout. We then articulate and illustrate a transdiagnostic conceptual framework for examining psychotherapy dropout in contemporary research, concluding with recommendations for future research. With a more comprehensive understanding of the factors affecting retention, research efforts can shift toward investigating key processes underlying treatment dropout, thus, boosting prediction and informing strategies to mitigate dropout in clinical practice.","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445518792251","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36373624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meta-Analysis of Single-Case Experimental Design using Multilevel Modeling.","authors":"Eunkyeng Baek,&nbsp;Wen Luo,&nbsp;Kwok Hap Lam","doi":"10.1177/01454455221144034","DOIUrl":"10.1177/01454455221144034","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":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9086083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using AB Designs With Nonoverlap Effect Size Measures to Support Clinical Decision-Making: A Monte Carlo Validation.","authors":"Antonia R Giannakakos,&nbsp;Marc J Lanovaz","doi":"10.1177/0145445519860219","DOIUrl":"10.1177/0145445519860219","url":null,"abstract":"<p><p>Single-case experimental designs often require extended baselines or the withdrawal of treatment, which may not be feasible or ethical in some practical settings. The quasi-experimental AB design is a potential alternative, but more research is needed on its validity. The purpose of our study was to examine the validity of using nonoverlap measures of effect size to detect changes in AB designs using simulated data. In our analyses, we determined thresholds for three effect size measures beyond which the type I error rate would remain below 0.05 and then examined whether using these thresholds would provide sufficient power. Overall, our analyses show that some effect size measures may provide adequate control over type I error rate and sufficient power when analyzing data from AB designs. In sum, our results suggest that practitioners may use quasi-experimental AB designs in combination with effect size to rigorously assess progress in practice.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445519860219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37143481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-Case Data Analysis: A Practitioner Guide for Accurate and Reliable Decisions.","authors":"Jennifer Ninci","doi":"10.1177/0145445519867054","DOIUrl":"10.1177/0145445519867054","url":null,"abstract":"<p><p>Practitioners frequently use single-case data for decision-making related to behavioral programming and progress monitoring. Visual analysis is an important and primary tool for reporting results of graphed single-case data because it provides immediate, contextualized information. Criticisms exist concerning the objectivity and reliability of the visual analysis process. When practitioners are equipped with knowledge about single-case designs, including threats and safeguards to internal validity, they can make technically accurate conclusions and reliable data-based decisions with relative ease. This paper summarizes single-case experimental design and considerations for professionals to improve the accuracy and reliability of judgments made from single-case data. This paper can also help practitioners to appropriately incorporate single-case research design applications in their practice.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445519867054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49533134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovations in Technology and Mechanisms of Change in Behavioral Interventions.","authors":"Nicole R Nugent,&nbsp;Sachin R Pendse,&nbsp;Heather T Schatten,&nbsp;Michael F Armey","doi":"10.1177/0145445519845603","DOIUrl":"10.1177/0145445519845603","url":null,"abstract":"<p><p>The purpose of this manuscript is to provide an overview of, and rationale for, the increasing adoption of a wide range of cutting-edge technological methods in assessment and intervention which are relevant for treatment. First, we review traditional approaches to measuring and monitoring affect, behavior, and cognition in behavior and cognitive-behavioral therapy. Second, we describe evolving active and passive technology-enabled approaches to behavior assessment including emerging applications of digital phenotyping facilitated through fitness trackers, smartwatches, and social media. Third, we describe ways that these emerging technologies may be used for intervention, focusing on novel applications for the use of technology in intervention efforts. Importantly, though some of the methods and approaches we describe here warrant future testing, many aspects of technology can already be easily incorporated within an established treatment framework.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445519845603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37189082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining the Analysis of Mechanism-Outcome Relationships for Anxiety Treatment: A Preliminary Investigation Using Mixed Models.","authors":"Jennie M Kuckertz,&nbsp;Sadia Najmi,&nbsp;Kylie Baer,&nbsp;Nader Amir","doi":"10.1177/0145445519841055","DOIUrl":"10.1177/0145445519841055","url":null,"abstract":"<p><p>Although efficacious treatments exist for anxiety disorders, issues remain regarding how best to conceptualize and measure purported change processes in clinical research. In the current study, we examined the relationship between treatment-specific (exposure therapy, attention bias modification [ABM]) as well as more general change processes with symptoms within a transdiagnostic sample using mixed models. Results indicated that slope of self-efficacy across treatment and between-session habituation across identical exposures was associated with slope of symptom change. Although slope of anxiety ratings within session was not associated with slope of symptom change, it did interact with other candidate exposure processes to predict symptoms. Purported ABM change processes were not associated with outcome. Our use of mixed models exemplifies an emerging trend in this research aimed at minimizing loss of data through aggregation, and our results highlight the utility of integrating treatment-specific as well as more general change processes in mechanistic research.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445519841055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37292632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of Moderators in Meta-Analyses of Single-Case Experimental Design Studies.","authors":"Mariola Moeyaert, Panpan Yang, Xinyun Xu, Esther Kim","doi":"10.1177/01454455211002111","DOIUrl":"10.1177/01454455211002111","url":null,"abstract":"<p><p>Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant and-or study characteristics can be incorporated in the model in an attempt to explain intervention heterogeneity. The inclusion of moderators in the context of meta-analysis of SCED studies did not yet receive attention and is in need of methodological research. Prior to extending methodological work validating the hierarchical linear model including moderators at the different levels, an overview of characteristics of moderators typically encountered in the field is needed. This will inform design conditions to be embedded in future methodological studies and ensure that these conditions are realistic and representative for the field of SCED meta-analyses. This study presents the results of systematic review of SCED meta-analyses, with the particular focus on moderator characteristic. The initial search yielded a total of 910 articles and book chapters. After excluding duplicate studies and non peer-reviewed studies, 658 unique peer-reviewed studies were maintained and screened by two independent researchers. Sixty articles met the inclusion criteria and were eligible for data retrieval. The results of the analysis of moderator characteristics retrieved from these 60 meta-analyses are presented. The first part of the results section contains an overview of moderator characteristics per moderator level (within-participant level, participant level, and study level), including the types of moderators, the ratio of the number of moderators relative to the number of units at that level, the measurement scale, and the degree of missing data. The second part of the results section focuses on the metric used to quantify moderator effectiveness and the analysis approach. Based on the results of the systematic review, recommendations are given for conditions to be included in future methodological work.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/01454455211002111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25523798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Randomization Procedures for Changing Criterion Designs.","authors":"John Ferron,&nbsp;Lodi L Rohrer,&nbsp;Joel R Levin","doi":"10.1177/0145445519847627","DOIUrl":"10.1177/0145445519847627","url":null,"abstract":"<p><p>To strengthen the scientific credibility arguments for single-case intervention studies, randomization design-and-analysis methods have been developed for the multiple-baseline, ABAB, and alternating treatment designs, including options for preplanned designs, wherein the series and phase lengths are established prior to gathering data, as well as options for response-guided designs, wherein ongoing visual analyses guide decisions about when to intervene. Our purpose here is to develop randomization methods for another class of single-case design, the changing criterion design. We first illustrate randomization design-and-analysis methods for preplanned changing criterion designs and then develop and illustrate methods for response-guided changing criterion designs. We discuss the limitations associated with the randomization methods and the validity of the corresponding intervention-effect inferences.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0145445519847627","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37233682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Tier 1 Class-Wide Function-Related Intervention Teams (CW-FIT) on On-task Group Behavior in a Preschool Classroom.","authors":"Lauren N Layman,&nbsp;Lacey C Ray,&nbsp;Kevin M Ayres,&nbsp;Joel E Ringdahl","doi":"10.1177/01454455221149334","DOIUrl":"https://doi.org/10.1177/01454455221149334","url":null,"abstract":"<p><p>Disruptive behaviors such as elopement, calling-out, and aggression are often a major barrier to instruction in preschool classrooms. One widely used class-wide behavior management system is Class-Wide Function-Related Intervention Teams (CW-FIT). To date, we could only locate two studies on CW-FIT used in preschool settings which found a therapeutic change in on-task behavior as well rates of teacher praise, teacher reprimands, student socials skills, and student problem behaviors. The current study used a withdrawal design to also evaluate the effectiveness of Tier 1 CW-FIT on on-task student behavior and teacher praise and reprimand behavior in a preschool setting during both large and small group activities. Results suggested that the implementation of the Tier 1 components of CW-FIT increased on-task group behavior in both settings. Results for rates of teacher's praise and reprimand statements were variable.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10391976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology-Enhanced Behavioral Parent Training: The Relationship Between Technology Use and Efficiency of Service Delivery.","authors":"Madison P McCall,&nbsp;Margaret T Anton,&nbsp;April Highlander,&nbsp;Raelyn Loiselle,&nbsp;Rex Forehand,&nbsp;Olga Khavjou,&nbsp;Deborah J Jones","doi":"10.1177/01454455231165937","DOIUrl":"https://doi.org/10.1177/01454455231165937","url":null,"abstract":"<p><p>Behavior disorders (BDs) are common and, without treatment, can have long-term impacts on child and family health. Behavioral Parent Training (BPT) is the standard of care intervention for early-onset BDs; however, structural socioeconomic barriers hinder treatment outcomes for low-income families. While digital technologies have been proposed as a mechanism to improve engagement in BPT, research exploring the relationship between technology use and outcomes is lacking. Thus, this study with 34 low-income families examined the impact of parents' use of adjunctive mobile app components on treatment efficiency in one technology-enhanced (TE-) BPT program, <i>Helping the Noncompliant Child</i> (HNC). While parent use of the TE-HNC app and its impact on the efficiency of service delivery varied across specific components, increased app use significantly reduced the number of weeks required for families to achieve skill mastery. Implications for the design and development of behavior intervention technologies in general, as well as for BPT in particular, are discussed.</p>","PeriodicalId":48037,"journal":{"name":"Behavior Modification","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/6e/07/10.1177_01454455231165937.PMC10403959.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10019816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}