Comparison of Traditional and Embedded DTT on Problem Behavior and Responding to Instructional Targets

Treating Target Behaviors of Autistic Individuals With Applied Behavior Analysis: An Ongoing Replication Study

Background Ongoing outcome data replication on target behaviors with autistic individuals using applied behavior analysis (ABA) confirms its effectiveness and remains an essential evidenced-based standard of care. This replication study aims to further confirm the impact of discrete trial training and mass trials on general target behaviors within a naturalistic environment. Methods Data was gathered from 92 children and four adult autistic individuals over one month from 7/7/23 to 8/8/23 using a repeated measures design. This study used a retrospective chart review with general target behaviors to determine the effectiveness of ABA treatments using discrete trial training and mass trials across time and age categories in a naturalistic environment. Results A mixed analysis of variance (ANOVA) indicated statistical significance (sphericity assumed), F(2,168) = 31.663, p < 0.001 (time). Multiple comparisons using bootstrapped paired t-tests indicated p < 0.001 on the three comparisons. There was a significant interaction effect (sphericity assumed) with time x age category, F(8,168) = 2.918, p = 0.004. Interaction contrasts indicated statistically significant differences over time within the 1-4 years, 5-8 years, and a portion of 9-12 years, and not within the 13-16 years and 17-73 years age groups. Conclusions Autistic individuals receiving ABA demonstrated statistically significant improvement in target behaviors over one month. There was a significant interaction between time and age on target behaviors, suggesting a significant association between time and age categories. The reporting of ongoing intervention outcomes provides further justification for continued treatments relative to target behavior mastery with autistic individuals.

Examining the Effects of Discrete Trials, Mass Trials, and Naturalistic Environment Training on Autistic Individuals Using Repeated Measures

INTRODUCTION

Behavioral interventions based on applied behavior analysis (ABA) form current evidence-based practices in treating autism spectrum disorder (ASD). Research is scarce relative to the broad effects of intensive repetitive, discrete trial training, and mass trials combined with a naturalistic environment as measured by overall general target behaviors. The primary objective of this study was to evaluate the effectiveness of a mixed behavioral model consisting of discrete trial training and mass trial interventions in the naturalistic environment, using a repeated measures design with a retrospective snapshot cohort of 93 individuals with autism.

METHODS

A repeated measures analysis tracked 89 autistic children with four adult autistic individuals over seven time points during a three-month snapshot period from March 19, 2023, to June 11, 2023. This study determined the effectiveness of applied behavior analysis (ABA) interventions combining discrete trial training, mass trials, and naturalistic environment training on mastered broad target behaviors in autistic individuals using a mixed (between and within) ANOVA statistical design.

RESULTS

Mixed (between and within) ANOVA indicated overall statistical significance, F (6,674)=45.447, p<0.001, partial eta squared=0.365 across time. These results indicated a large effect size. Multiple comparisons showed statistical significance (p<0.001) on all 21 multiple comparisons between timepoints. There was also a significant interaction effect with time × age category, F (24,474)=2.961, p<0.001, partial eta squared=0.130. These results also indicated a large effect size.

CONCLUSIONS

Autistic individuals who received applied behavior analysis combining discrete trial training, mass trials, and naturalistic environment training intervention demonstrated statistically significant improvement in target behaviors over the three-month snapshot period, the most prominent being in the 13-16 years age category.

Parents Are People Too: Implementing Empirically Based Strategies During Daily Interactions

The outcomes of the COVID-19 pandemic have resulted in decision-making related to in-person versus remote behavior-analytic service delivery. For those service providers who shifted from delivering in-person therapy to remote consultation, parents have presumably, at least at times, assumed a role similar to a registered behavior technician (RBT). We suggest that behavior analysts recommend two empirically based strategies to parents that they could incorporate into their daily lives during service disruptions: environmental enrichment and differential reinforcement of alternative behavior. We provide examples of naturally occurring contexts during which parents could integrate these procedures: (1) self-care or daily living activities, (2) physical activity, and (3) preferred learning activities. We support selecting these strategies and their application during exemplar contexts under the premise that they do not result in additional time expenditure, afford parents opportunities to complete essential (household, work-related, or personal) tasks, and still result in therapeutic gains.