Behavior Modification最新文献

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.

Nonsuicidal self-injury (NSSI) by proxy is the intentional destruction of one's own body tissue through the elicitation of another being's actions. Despite its clinical relevance, research on NSSI by proxy is limited and there are no available measures of this behavior. This research aimed to characterize NSSI by proxy among young adults and provide preliminary data on the validity of a new self-report measure, the NSSI by Proxy Questionnaire (NSSIBPQ). Two nationwide community samples of young adults (one general community sample and one with a history of traditional NSSI and suicidality) completed online studies. NSSI by proxy was reported by 18% of the general community sample and 45% of the self-injuring sample. Findings support the clinical relevance of NSSI by proxy and its potential to meet criteria for an NSSI disorder diagnosis. Results also provide preliminary support for the internal consistency and convergent, discriminant, and concurrent validity of the NSSIBPQ.

It is considered best practice to conduct a functional analysis and visually inspect data collected to determine the function of problem behavior, which then informs the intervention approaches applied. Visual inspection has been described as a "subjective" process that may be affected by factors unrelated to the data. Structured decision-making guidelines have been established to address some of these shortcomings. The current paper is a follow-up to earlier work describing positive outcomes related to the viability of a decision support system based on structured criteria from Roane et al. Here, we demonstrate important improvements in a computer script's interpretation of functional analysis data, including improvement in agreement between the updated computer script version and experienced human raters (89%) compared to our original agreement outcomes (81%). This paper further supports the use of decision support systems for functional analysis interpretation.

Visual analysis of single-case research is commonly described as a gold standard, but it is often unreliable. Thus, an objective tool for applying visual analysis is necessary, as an alternative to the Conservative Dual Criterion, which presents some drawbacks. The proposed free web-based tool enables assessing change in trend and level between two adjacent phases, while taking data variability into account. The application of the tool results in (a) a dichotomous decision regarding the presence or absence of an immediate effect, a progressive or delayed effect, or an overall effect and (b) a quantification of overlap. The proposal is evaluated by applying it to both real and simulated data, obtaining favorable results. The visual aid and the objective rules are expected to make visual analysis more consistent, but they are not intended as a substitute for the analysts' judgment, as a formal test of statistical significance, or as a tool for assessing social validity.