On the Standardization of the Functional Analysis

A Two Step Validation of the Performance-Based IISCA: A Trauma-Informed Functional Analysis Model

Functional analyses often involve extended exposure to evocative events and problem behavior, which potentially places the client at risk of retraumatization. The performance-based, interview-informed synthesized contingency analysis (IISCA) is a brief analysis that is conducted in a single session and applies a trauma-assumed framework in the development of the assessment procedures (e.g., measures of calm, reinforcing precursors to avoid escalation and physical management). We conducted 12 applications of the performance-based IISCA in the United States and Brazil and (1) compared the results to a subset of 7 applications who also experienced the original IISCA and (2) incorporated a function-based treatment informed by the performance-based IISCA in a further subset of 5 of those 12 applications. The results support the use of the performance-based IISCA in that this variation of the IISCA corresponded with the original IISCA and informed effective treatment of problem behavior.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40617-023-00792-2.

Are Function-Based Interventions for Students with Emotional/Behavioral Disorders Trauma Informed? A Systematic Review

Students with emotional/behavioral disorders (EBD) commonly engage in both externalizing and internalizing behaviors-a behavioral profile that has been connected to childhood trauma. Although the efficacy of function-based interventions for students with EBD has been documented, the extent to which these interventions align with principles of trauma-informed care (TIC) is unknown. We conducted a systematic review of function-based intervention studies for students with EBD to evaluate whether and how these interventions incorporated critical elements of TIC. We identified 56 articles that met the eligibility criteria and used an iterative process to identify intervention practices consistent with each of six pillars of TIC, then evaluated the extent to which interventions in the study sample incorporated these practices. Despite identifying 45 function-based intervention practices aligned with pillars of TIC, we found most of these practices were absent in most interventions. We identified teaching skills, building healthy relationships, and including family, culture, and community as three pillars of TIC that warrant more attention when developing function-based interventions for students with EBD. For pillars of TIC that lack a strong empirical foundation in behavior analysis, we point to related literatures and disciplines with potential to inform next steps in behavior analytic research and practice.

Pilot study of a real-time early agitation capture technology (REACT) for children with intellectual and developmental disabilities

Objective

Children and adolescents with intellectual and developmental disabilities (IDD), particularly those with autism spectrum disorder, are at increased risk of challenging behaviors such as self-injury, aggression, elopement, and property destruction. To mitigate these challenges, it is crucial to focus on early signs of distress that may lead to these behaviors. These early signs might not be visible to the human eye but could be detected by predictive machine learning (ML) models that utilizes real-time sensing. Current behavioral assessment practices lack such proactive predictive models. This study developed and pilot-tested real-time early agitation capture technology (REACT), a real-time multimodal ML model to detect early signs of distress, termed "agitations." Integrating multimodal sensing, ML, and human expertise could make behavioral assessments for people with IDD safer and more efficient.

Methods

We leveraged wearable technology to collect behavioral and physiological data from three children with IDD aged 6 to 9 years. The effectiveness of the REACT system was measured using F1 score, assessing its usefulness at the time of agitation to 20s prior.

Results

The REACT system was able to detect agitations with an average F1 score of 78.69% at the time of agitation and 68.20% 20s prior.

Conclusion

The findings support the use of the REACT model for real-time, proactive detection of agitations in children with IDD. This approach not only improves the accuracy of detecting distress signals that are imperceptible to the human eye but also increases the window for timely intervention before behavioral escalation, thereby enhancing safety, well-being, and inclusion for this vulnerable population. We believe that such technological support system will enhance user autonomy, self-advocacy, and self-determination.

Functional analysis: what have we learned in 85 years?

Purpose

Even though the term "functional analysis" (FA) is prevalent in the current behavioral literature, the concept and process have roots in the early days of basic research in behavior analysis. Furthermore, the methodology developed in the field of FA has been one of the most significant advances in research on challenging behaviors over the past four decades. The current article reviews the history of the term "functional analysis" and research related to experimental FA. The aim is to summarize what the field of behavior analysis has learned about this powerful methodology.

Views

FA is considered a gold standard of functional assessment. However, several arguments about limitations relating to methodological issues in FA and its ecological validity have been put forward. Some of these shortcomings include constraints on the time available for assessment, the risk posed by severe problem behavior, and the inability to exert tight control over environmental conditions.

Conclusions

The literature on the subject clearly shows that refinements have been aimed not only at improving some of the methodological characteristics of FA but also at adapting the strategy for real-world application. Practical functional assessment (known as interview-informed synthesized contingency analysis [IISCA]) is a contemporary approach to assessing and treating problem behavior. Recent research on IISCA offers empirical support for the practical functional assessment and skill-based treatment model, confirming that it can obtain sustainable and socially meaningful reductions in problem behavior. Nevertheless, more research is needed to address procedural variations in, and the utility and social validity of, IISCA.

Contingent Electric Skin Shock: An Empirical or Ideological Issue?

Intractable self-injury, aggressive, and other destructive behaviors are real human conditions. Contingent electric skin shock (CESS) is a technology, based on behavior-analytic principles, used to ameliorate such behaviors. However, CESS has always been extraordinarily controversial. The Association for Behavior Analysis (ABAI), commissioned an independent Task Force to examine the issue. After a comprehensive review, the Task Force suggested the treatment should be available for use in select cases through a largely accurate report. Yet, ABAI adopted a position indicating CESS is never appropriate. On the issue of CESS, we are extremely concerned behavior analysis departed from the fundamental epistemology of positivism and is misleading nascent behavior analysts and consumers of behavioral technology. Destructive behaviors are extremely difficult to treat. In our commentary, we outline clarifications regarding aspects of the Task Force Report, proliferation of falsehoods by leaders in our field, and limitations to the standard of care in behavior analysis. We recommend using science to answer important questions instead of propagating false information at the expense of current and future clients with treatment refractory behaviors.

Functional analysis of problem behavior: A 40-year review

Extensive reviews of functional analysis literature were conducted 10 (Beavers et al., 2013) and 20 (Hanley et al., 2003) years ago; we expanded this review to capture the vast and innovative functional analysis research that has occurred over the past decade. Our review produced 1,333 functional analysis outcomes from 326 studies on the functional analysis of problem behavior between June 2012 and May 2022. Some characteristics of functional analysis studies were similar across the current and previous two reviews (e.g., child participants, developmental disability diagnosis, use of line graphs depicting session means, differentiated response outcomes). Other characteristics deviated from the previous two reviews (e.g., increase in autistic representation, outpatient settings, use of supplementary assessments, the inclusion of tangible conditions, and multiple function outcomes; decrease in session durations). We update previously reported participant and methodological characteristics, summarize outcomes, comment on recent trends, and propose future directions in the functional analysis literature.

Cultural responsiveness in applied behavior analysis: Research and practice

The new Ethics Code for Behavior Analysts requires that certificants engage in training related to culturally responsive service delivery (BACB, 2020). There is limited work in the area of culturally responsive evidence-based practice within our field. Therefore, it is incumbent on researchers and practitioners to identify best practices for working with diverse populations. Hence, the purpose of this paper is three-fold: a) to review research within and outside the field of ABA related to culturally responsive assessment and treatment and provide practice recommendations, b) to examine the extent to which current practices in behavior assessment and treatment align with aspects of culturally responsive practices, and c) to inspire research in the areas of behavior assessment and treatment to identify best practices with regard to culturally responsive behavior analytic practices. The content of this paper is grounded in the framework described by Beaulieu and Jimenez-Gomez (2022).

On the Occurrence of Dangerous Problem Behavior during Functional Analysis: An Evaluation of 30 Applications

Functional analyses are often conducted by behavior analysts to understand the environmental variables contributing to an individual's problem behavior to better inform treatment implementation. While functional analyses are integral for designing function-based interventions, they often arrange contingencies to evoke and reinforce dangerous problem behavior. In Study 1 we reviewed 22 functional analyses with open-contingency classes including non-dangerous topographies of problem behavior and we found that participants were more likely to exhibit the non-dangerous behavior in 82% of the applications. We then conducted a single-subject comparison of closed and open-contingency classes with four additional participants in Study 2. Our results suggest that the functional analyses with the open-contingency class reduced the likelihood of observing dangerous problem behavior.

A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)

Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children with ASD display problem behavior. If a caregiver can predict that a child is likely to engage in problem behavior, they may be able to take action to minimize that risk. Although experts in Applied Behavior Analysis can offer caregivers recognition and remediation strategies, there are limitations to the extent to which human prediction of problem behavior is possible without the assistance of technology. In this paper, we propose a machine learning-based predictive framework, PreMAC, that uses multimodal signals from precursors of problem behaviors to alert caregivers of impending problem behavior for children with ASD. A multimodal data capture platform, M2P3, was designed to collect multimodal training data for PreMAC. The development of PreMAC integrated a rapid functional analysis, the interview-informed synthesized contingency analysis (IISCA), for collection of training data. A feasibility study with seven 4 to 15-year-old children with ASD was conducted to investigate the tolerability and feasibility of the M2P3 platform and the accuracy of PreMAC. Results indicate that the M2P3 platform was well tolerated by the children and PreMAC could predict precursors of problem behaviors with high prediction accuracies.