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.

The relative accuracy and interpretability of five sequential analysis methods: A simulation study.

A variety of sequential analysis methods exist to quantify close temporal associations between events from direct observation data. In the present study, we compared the relative accuracy and interpretability of five sequential-analysis methods using simulated data. The methods included three existing approaches (event lag, concurrent interval, and time window) and two proposed modifications of the event lag approach (event lag with contiguous pauses and event lag with noncontiguous pauses) designed to address limitations of the existing approaches. We evaluated accuracy on the basis of the extent to which the mean contingency estimates produced by each method approximated a known mean (i.e., zero). We evaluated interpretability on the basis of the extent to which the contingency estimates produced by each method were independent from chance estimates of the two-event sequence. The results indicated that the event lag with contiguous pauses method produced the most accurate and interpretable estimates of contingency. This modified method prevents the total number of event types from influencing contingency estimates, thus solving a problem associated with the traditional event lag method.

Effects of an enhanced choice model of skill-based treatment for students with emotional/behavioral disorders.

The enhanced choice model of skill-based treatment (ECM-SBT; Rajaraman et al., 2021) is a package of behavioral treatment procedures with modifications designed to reduce risks associated with extinction of problem behavior. The skill-based treatment component of this package (Hanley et al., 2014) has been investigated thoroughly in clinical settings, though fewer studies have been conducted in public schools. In this investigation, we systematically replicated Rajaraman et al.'s (2021) demonstration of the ECM-SBT with 3 children enrolled in a public special day school for students with emotional and behavioral disorders. Intervention procedures were associated with increases in targeted alternative responses (i.e., communicative response, tolerance response, and cooperation with instructions) and decreased precursor behavior relative to baseline. Severe problem behavior was rare in both assessment and treatment. Participants chose to spend most appointment time participating in ECM-SBT, indicating preference for treatment procedures over alternative contexts (i.e., free access to a break area with preferred activities; regular classroom instruction). These outcomes suggest ECM-SBT has promise for safely teaching alternatives to problem behavior to children with emotional and behavioral disorders in school settings.

Minimizing Escalation by Treating Dangerous Problem Behavior Within an Enhanced Choice Model.

To address dangerous problem behavior exhibited by children while explicitly avoiding physical management procedures, we systematically replicated and extended the skill-based treatment procedures described by Hanley, Jin, Vanselow, and Hanratty (2014) by incorporating an enhanced choice model with three children in an outpatient clinic and two in a specialized public school. In this model, several tactics were simultaneously added to the skill-based treatment package to minimize escalation to dangerous behavior, the most notable of which involved offering children multiple choice-making opportunities, including the ongoing options to (a) participate in treatment involving differential reinforcement, (b) "hang out" with noncontingent access to putative reinforcers, or (c) leave the therapeutic space altogether. Children overwhelmingly chose to participate in treatment, which resulted in the elimination of problem behavior and the acquisition and maintenance of adaptive skills during lengthy, challenging periods of nonreinforcement. Implications for the safe implementation of socially valid treatments for problem behavior are discussed.

Applying Generalizability Theory to Optimize Analysis of Spontaneous Teacher Talk in Elementary Classrooms.

Purpose Although sampling teachers' child-directed speech in school settings is needed to understand the influence of linguistic input on child outcomes, empirical guidance for measurement procedures needed to obtain representative samples is lacking. To optimize resources needed to transcribe, code, and analyze classroom samples, this exploratory study assessed the minimum number and duration of samples needed for a reliable analysis of conventional and researcher-developed measures of teacher talk in elementary classrooms. Method This study applied fully crossed, Person (teacher) × Session (samples obtained on 3 separate occasions) generalizability studies to analyze an extant data set of three 10-min language samples provided by 28 general and special education teachers recorded during large-group instruction across the school year. Subsequently, a series of decision studies estimated of the number and duration of sessions needed to obtain the criterion g coefficient (g > .70). Results The most stable variables were total number of words and mazes, requiring only a single 10-min sample, two 6-min samples, or three 3-min samples to reach criterion. No measured variables related to content or complexity were adequately stable regardless of number and duration of samples. Conclusions Generalizability studies confirmed that a large proportion of variance was attributable to individuals rather than the sampling occasion when analyzing the amount and fluency of spontaneous teacher talk. In general, conventionally reported outcomes were more stable than researcher-developed codes, which suggests some categories of teacher talk are more context dependent than others and thus require more intensive data collection to measure reliably.

Effects of self-control training for elementary students with emotional and behavioral disorders.

Progressive delay training (PDT) has been used to promote self-controlled choices (i.e., selecting a larger, later reward over a smaller, immediate reward) for people with a variety of developmental characteristics. However, the efficacy of PDT has not been evaluated in children with emotional and behavioral disorders (EBD), who often have co-occurring symptoms of impulsivity. The purpose of this study was to evaluate the effects of PDT with a rule-following requirement on the impulsive choices of 6 elementary students with EBD using a modified changing criterion design. Results indicated that PDT alone did not improve self-control, but a modified version of PDT with a rationale and rule for selecting the delayed reward promoted self-control for 3 participants. The remaining 3 participants continued to make impulsive choices despite further modifications to the PDT protocol. We discuss implications of our results and directions for future research on treating impulsivity in children with EBD.

A comparison of analysis methods to estimate contingency strength.

To date, several data analysis methods have been used to estimate contingency strength, yet few studies have compared these methods directly. To compare the relative precision and sensitivity of four analysis methods (i.e., exhaustive event-based, nonexhaustive event-based, concurrent interval, concurrent+lag interval), we applied all methods to a simulated data set in which several response-dependent and response-independent schedules of reinforcement were programmed. We evaluated the degree to which contingency strength estimates produced from each method (a) corresponded with expected values for response-dependent schedules and (b) showed sensitivity to parametric manipulations of response-independent reinforcement. Results indicated both event-based methods produced contingency strength estimates that aligned with expected values for response-dependent schedules, but differed in sensitivity to response-independent reinforcement. The precision of interval-based methods varied by analysis method (concurrent vs. concurrent+lag) and schedule type (continuous vs. partial), and showed similar sensitivities to response-independent reinforcement. Recommendations and considerations for measuring contingencies are identified.