Behavior Modification最新文献

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.

Missing data is inevitable in single-case experimental designs (SCEDs) studies due to repeated measures over a period of time. Despite this fact, SCEDs implementers such as researchers, teachers, clinicians, and school psychologists usually ignore missing data in their studies. Performing analyses without considering missing data in an intervention study using SCEDs or a meta-analysis study including SCEDs studies in a topic can lead to biased results and affect the validity of individual or overall results. In addition, missingness can undermine the generalizability of SCEDs studies. Considering these drawbacks, this study aims to give descriptive and advisory information to SCEDs practitioners and researchers about missing data in single-case data. To accomplish this task, the study presents information about missing data mechanisms, item level and unit level missing data, planned missing data designs, drawbacks of ignoring missing data in SCEDs, and missing data handling methods. Since single imputation methods among missing data handling methods do not require complicated statistical knowledge, are easy to use, and hence are more likely to be used by practitioners and researchers, the present study evaluates single imputation methods in terms of intervention effect sizes and missing data rates by using a real and hypothetical data sample. This study encourages SCEDs implementers, and also meta-analysts to use some of the single imputation methods to increase the generalizability and validity of the study results in case they encounter missing data in their studies.

Background: Children with Down syndrome often engage in contextually inappropriate social behavior, which researchers suggest may function to escape from difficult activities to preferred social interactions. Caregivers may reinforce the behavior, perceiving it only as evidence of the child's social strength, when, in fact, the pattern may also prevent or slow the development of critical skills. Unlike overt forms of challenging behavior, contextually inappropriate social behavior had never been subjected to experimental analysis.

Aims: The purpose of the current study was to identify and demonstrate functional control of contextually inappropriate social behavior to caregiver-informed contingencies.

Method and procedures: We interviewed caregivers and subjected contextually inappropriate social behavior to functional analyses for nine young children with Down syndrome.

Outcomes and results: We found sensitivity to the caregiver-informed contingencies for all nine participants with strong functional control and large effect sizes for most.

Conclusions and implications: Caregivers may not perceive contextually inappropriate social behavior as problematic, yet patterns of contextually inappropriate and other problem behaviors suggest decreased engagement and poor task persistence. Assessments that lead to intervention decisions may be more informative when they include questions about social topographies of behavior not typically considered as problematic. Once caregivers are aware of the pattern, they may be better prepared to intervene.

Single-case experimental designs (SCEDs) have grown in popularity in the fields such as education, psychology, medicine, and rehabilitation. Although SCEDs are valid experimental designs for determining evidence-based practices, they encounter some challenges in analyses of data. One of these challenges, missing data, is likely to be occurred frequently in SCEDs research due to repeated measurements over time. Since missing data is a critical factor that can weaken the validity and generalizability of a study, it is important to determine the characteristics of missing data in SCEDs, which are especially conducted with a small number of participants. In this regard, this study aimed to describe missing data features in SCEDs studies in detail. To accomplish this goal, 465 published SCEDs studies within the recent 5 years in six journals were included in the investigation. The overall results showed that the prevalence of missing data among SCEDs articles in at least one phase, as at least one data point, was approximately 30%. In addition, the results indicated that the missing data rates were above 10% within most studies where missing data occurred. Although missing data is so common in SCEDs research, only a handful of studies (5%) have handled missing data; however, their methods are traditional. In analyzing SCEDs data, several methods are proposed considering missing data ratios in the literature. Therefore, missing data rates determined in this study results can shed light on the analyses of SCEDs data with proper methods by improving the validity and generalizability of study results.

Past research suggests behavioral treatments are effective for challenging behavior in children and young adults with neurodevelopmental disorders, such as autism spectrum disorder (ASD). However, access to these services can be limited and require substantial resources. To address this issue, the current study provides a programmatic description of an individualized parent-mediated service model targeting moderate challenging behavior. In the program, therapists coached parents to implement functional analyses and individualized function-based treatment packages. Forty-one families of children and young adults with neurodevelopmental disorders participated. Most clients (75.6%) met all admission treatment goals and parents reported significant decreases in frequency and severity of challenging behaviors at discharge. Parents also reported less stress at discharge. Outcomes of the study suggest this parent-mediated treatment model is a viable option to treating moderate challenging behavior in children and young adults with intellectual and developmental disorders.

Experimenters provided 33 graphical displays of hypothetical data depicted in a multielement experimental design to editorial board members of prominent, applied, behavior-analytic journals via an online survey. For each display, participants indicated (a) the presence or absence of experimental control and (b) the degree of experimental control (rated on a 1-100 scale). Each depiction varied systematically in (a) the number of data paths, (b) the number of data paths elevated above the control, (c) the mean difference between affected data paths and control conditions, and (d) the degree of variability within conditions. Correspondence among experts' ratings of experimental control was high across all presented graphical displays, supporting the reliability of visual analysis as an evaluative tool for these designs.

Self-injurious behavior (SIB) among children and youth with developmental disabilities has not diminished in prevalence despite the availability of effective interventions, and the impact on quality of life for people and their families is devastating. The current meta-analysis reviews SIB intervention research between 2011 and 2021 using single-case experimental designs with children and youth up to 21 years old and provides a quantitative synthesis of data from high-quality studies including moderator analyses to determine effects of participant and study characteristics on intervention outcomes. Encouraging findings include a high level of effectiveness across studies in the decrease of SIB (Tau-U = -0.90) and increase of positive behavior (Tau-U = 0.73), as well as an increase in studies (relative to prior reviews) reporting intervention fidelity, generalization, maintenance, and social validity. However, our findings shed limited light on potential moderating variables in the development of interventions for children and youth who exhibit SIB. Of the potential moderators of intervention effects, only implementer (researcher/therapist vs. parent/caregiver) and setting (clinic vs. home) were significantly associated with improved outcomes. We discuss the need for more robust involvement of natural communities of implementers in SIB intervention research to better equip them to effectively and sustainably meet the needs of people they care for. We also discuss the importance of creating systems enabling broad access for children with SIB to effective interventions in service of reducing burden for people, families, and society over time.

In this study we tested the usability, feasibility, social validity, and effectiveness of Engaged Learners, a behavior support program designed to be integrated into small group reading interventions. Participants included eight Grade 3 to 5 students with co-occurring reading difficulties and inattention. A concurrent multiple-baseline design was utilized to test the effects of Engaged Learners on engagement outcomes. Visual analysis and effect sizes indicated an improvement in engagement for seven students. Interventionists and students viewed the Engaged Learners program to be effective and socially valid. Limitations included lower than expected levels of fidelity for one interventionist and high student absenteeism. More research is needed to identify the extent to which Engaged Learners can support reading outcomes. Educators seeking an effective behavior support program that requires minimal training and coaching may consider integrating Engaged Learners into their small group reading instruction.

Single case research is a viable way to obtain evidence for social and psychological interventions on an individual level. Across single case research studies various analysis strategies are employed, varying from visual analysis to the calculation of effect sizes. To calculate effect sizes in studies with few measurements per time period (<40 data points with a minimum of five data points in each phase), non-parametric indices such as Nonoverlap of All Pairs (NAP) and Tau-U are recommended. However, both indices have restrictions. This article discusses the restrictions of NAP and Tau-U and presents the description, calculation, and benefits of an additional effect size, called the Typicality of Level Change (TLC) index. In comparison to NAP and Tau-U, the TLC index is more aligned to visual analysis, not restricted by a ceiling effect, and does not overcompensate for problematic trends in data. The TLC index is also sensitive to the typicality of an effect. TLC is an important addition to ease the restrictions of current nonoverlap methods when comparing effect sizes between cases and studies.