A Discussion of Positive Behavior Support and Applied Behavior Analysis in the Context of Autism Spectrum Disorder in the UK and Ireland

Stalford, David; Graham, Scott; Keenan, Michael

doi:10.1007/s40617-023-00905-x

Cited by 4 publications

(3 citation statements)

References 127 publications

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“…Considerations of culture and neurodiversity are essential and can significantly influence research, practice, and discussions among stakeholder groups [10]. The wide range of procedures in ABA makes analyzing the parameters and components that contribute to its effectiveness quite complex [11][12][13].…”

Section: Gender Differences With Aba Efficacy Researchmentioning

confidence: 99%

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Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder

Peterson,

Dodson,

Sherwin

et al. 2024

Cureus

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IntroductionCurrent evidence-based treatments for autism spectrum disorder (ASD) are based on applied behavior analysis (ABA). However, research on gender differences in ABA therapy response is limited. This study seeks to (1) confirm the 4:1 male-to-female ratio reported in the literature and (2) identify any possible gender differences in target behaviors over seven timepoints measured every two weeks. Materials and methodsFor three months, from March 19, 2023, to June 11, 2023, a team of 3-5 behavioral technicians per individual collected daily data on general target mastery for 100 individuals with ASD treated with ABA. Data was collected at seven timepoints every two weeks. Descriptive demographics were computed. Two independent sample t-tests were performed to determine significant or nonsignificant gender differences with the seven timepoint variables. ResultsNonstatistically significant gender differences (p > .05) were found on all seven cumulative target behavior timepoints measured at two-week intervals. For targets mastered Time 1, baseline between males and females, there was no significant difference in the means for males (M = 1.0571, SD = 1.9196) and females (M = 2.0455, SD = 3.9457) (t(90) = -1.591, p = 0.115, confidence interval (CI) = -2.2223, 0.2456, d = -0.389). For targets mastered Time 2, two weeks between males and females, there was no significant difference in the means for males (M = 3.7132; SD = 4.5065) and females (M = 4.0682, SD = 5.1508) (t(88) = -0.310, p = 0.757, CI = -2.6305, 1.92056, d = -0.076). For targets mastered Time 3, four weeks between males and females, there was no significant difference in the means for males (M = 7.0956; SD = 8.7781) and females (M = 8.6136; SD = 11.2799) (t(88) = -0.656, p = 0.514, CI = -6.1173, 3.0811, d = -0.161). For targets mastered Time 4, six weeks between males and females, there was no significant difference in the means for males (M = 13.1728, SD = 16.2003) and females (M = 13.0682, SD = 16.9272) (t(88) = 0.026, p = 0.979, CI = -7.8779, 8.0871, d = 0.006). For targets mastered Time 5, eight weeks between males and females, there was no significant difference in the means for males (M = 17.2096; SD = 18.8546) and females (M = 17.4286, SD = 22.1683) (t(87) = -0.045, p = 0.965, CI = -9.9773, 9.5393, d = -0.011). For targets mastered Time 6, 10 weeks between males and females, there was no significant difference in the means for males (M = 21.0074, SD = 21.3329) and females (M = 20.6818, SD = 26.1231) (t(88) = 0.059, p = 0.953, CI = -10.6752, 11.3262, d = 0.014). For targets mastered Time 7, 12 weeks between males and females, there was no significant difference in the means for males (

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Section: Gender Differences With Aba Efficacy Researchmentioning

confidence: 99%

“…Stalford et al emphasized the importance of positive behavioral support (PBS) training grounded in ABA principles, despite anti-ABA anecdotal bias fueled by misinterpretation and unsubstantiated anecdotal claims [11].…”

Section: Introductionmentioning

confidence: 99%

Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder

Peterson,

Dodson,

Sherwin

et al. 2024

Cureus

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“…The wide array of procedures in ABA introduces complexity when analyzing the components and parameters that contribute to its effectiveness [18]. A study examined gender differences in core symptoms, associated features, and treatment response in a sample of 682 youth (585 males, 97 females) with ASD.…”

Section: Introductionmentioning

confidence: 99%

A Non-parametric Analysis of Gender Differences With the Impacts of Applied Behavior Analysis on Autistic Individuals

Peterson,

Dodson,

Sherwin

et al. 2024

Cureus

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IntroductionConsidering the scarcity of research that directly investigates the differences between genders in their response to applied behavior analysis (ABA) therapy for individuals diagnosed with autism spectrum disorder (ASD), the objective of this study is twofold. First, it aims to reinforce the male-to-female ratio reported in existing scientific literature, thereby contributing to a broader understanding of gender distribution in ABA therapy for ASD. Second, it seeks to identify gender-based differences in aggregate target behaviors at various time intervals using three distinct datasets. The goal is to determine if gender influences the effectiveness of ABA therapy for ASD, which could inform future therapeutic strategies. Ultimately, this study strives to enhance our understanding of gender disparities in ABA therapy response among ASD individuals and hopes to improve therapeutic outcomes for all, regardless of gender. Materials and methodsThree to five behavioral technicians per child collected daily general target mastery data for 263 individuals with autism. This data was gathered using a large N design through retrospective chart reviews within the "Catalyst" tracking software (DataFinch Technologies, Atlanta, USA). Three separate datasets were collected from June 7, 2023 to January 7, 2024. Behavior analysts employed a mixed model of discrete trial training, mass trials, and naturalistic environment treatment over seven months. General target mastery data was assembled for 259 children and four adults, with seven data instances missing. Descriptive statistics encompassed central tendency and dispersion measures, including the data distribution's mean, standard deviation, median, and range. Non-parametric inferential analysis was performed with the Mann-Whitney U test. ResultsMann-Whitney U computations resulted in non-significant gender differences on all gender comparisons for the three datasets covering the seven-month timeframe.

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Mental and Behavioral Health, and Crisis Services for People with Intellectual and Developmental Disabilities in Medicaid Home- and Community-Based Services

Friedman,

Luxama

2024

J Autism Dev Disord

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A Discussion of Positive Behavior Support and Applied Behavior Analysis in the Context of Autism Spectrum Disorder in the UK and Ireland

Cited by 4 publications

References 127 publications

Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder

Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder

A Non-parametric Analysis of Gender Differences With the Impacts of Applied Behavior Analysis on Autistic Individuals

Mental and Behavioral Health, and Crisis Services for People with Intellectual and Developmental Disabilities in Medicaid Home- and Community-Based Services

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