Behavior Modification最新文献

Ecological validity refers to the meaningfulness or practical significance of research outcomes in everyday settings or the extent to which an intervention can be implemented by typical people during naturally occurring opportunities. In education, ecological validity may contribute to the adoption of interventions by teachers working with students in school settings. Our purpose in this review was to examine the evidence for ecological validity of functional communication training (FCT) used to address challenging behavior in school-age individuals with disabilities. We reviewed 19 single-case experimental design (SCED) studies published between 1985 and 2023. First, we used the What Works Clearinghouse (WWC) Standards to evaluate the empirical evidence of each study. Second, we evaluated the extent to which behavioral assessment and FCT procedures were described in the 15 studies that met the WWC Standards. Third, we conducted a systematic analysis of the evidence for ecological validity of behavioral assessment and FCT. Results indicate that 95% of the SCED studies met the WWC Standards. The description of procedures was complete for 50% of the behavioral assessments and for 11% of the FCT. The overall evidence for ecological validity was moderate for 16.7% and low for 83.3% of the behavioral assessments. The evidence for ecological validity for all FCT procedures was low. Future research and implications related to ecological validity are discussed.

Many children with autism spectrum disorder (ASD) exhibit generalization errors following mand training. In this study, we extended the literature on the generalization of positively reinforced explicit mands in three young children with ASD and complex communication needs. First, we used mand training to teach a new, socially appropriate, positively reinforced explicit mand to request preferred toys. Second, we assessed the discriminated generalization of the newly acquired mand by using untrained examples and nonexamples. Results suggest that our mand training resulted in acquisition of a discriminated positively reinforced explicit mand in all three children. Overgeneralization was documented for one of the three children included in the study. We discuss implications for researchers and practitioners related to the importance of assessing for generalization errors following mand training.

Competing stimulus assessments (CSA) are effective tools for identifying stimuli that compete with automatically reinforced behavior. However, Jennett et al. suggests there are cases for which non-contingent access to competing stimuli are insufficient at decreasing target responding and additional treatment components may be necessary. The purpose of the current study was to examine procedural variations (i.e., rotating competing items and prompted engagement) when presenting competing stimuli on increasing functional engagement and decreasing stereotypy. Following a functional analysis, a CSA was conducted to identify competing stimuli for four individuals with autism. Items identified were then used with two procedural variations. Levels of stereotypy, functional engagement, and item contact were measured. Results showed that for two participants both treatments were effective, while for the other two participants prompting functional engagement was more effective. Prompting functional engagement is likely a productive strategy for enhancing engagement with competing stimuli for automatically reinforced problem behavior as it may result in functional engagement becoming reinforcing in and of itself.

Behavior therapy is a well-established and empirically supported treatment for tic disorders (TDs). However, concerns have been expressed about the negative effects of behavioral interventions, such as tic worsening, tic substitution, and excessive effort. This study explored perceived negative effects of tic management strategies in adults with TDs and predictors of these experiences. Participants (N = 72) completed semi-structured interviews 11 years after receiving behavior therapy or supportive therapy in a randomized clinical trial. We examined responses to interview questions about managing tics and predictors of reported negative effects. Most participants did not experience tic worsening (84%) or tic substitution (75%) from tic management strategies. The majority felt they could manage tics while participating in their environment (87%) and did not report life interference from tic management (77%). About half (45%) felt less present when managing tics. Treatment non-responders in the original trial were more likely to report negative effects of tic management strategies. No differences in reported negative consequences were found between those who received behavior therapy versus supportive therapy, suggesting that behavior therapy specifically does not lead to such adverse effects. These findings could reduce misconceptions about behavior therapy for TDs and enhance its acceptability and utilization.

There are numerous effect measures researchers can select when conducting a meta-analysis of single-case experimental design research. These effect measures model different characteristics of the data, so it is possible that a researcher's choice of an effect measure could lead to different conclusions about the same intervention. The current study investigated the impact of effect measure selection on conclusions about the effectiveness of check-in check-out (CICO), a commonly used intervention within School-Wide Positive Behavior Interventions and Supports. Using a multilevel meta-analysis of seven different effect measures across 95 cases in 22 studies, findings suggested that all effect measures indicated statistically significant results of CICO in improving student behavior. However, the magnitude of the effects varied when comparing the results to interpretive guidelines, suggesting that the selection of effect measures may impact conclusions regarding the extent to which an intervention is effective. Implications, limitations, and future directions are discussed.

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.