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Evaluating the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) Scores Using Principal

Tami Peterson1, Jessica Dodson2, Robert Sherwin3

  • 1Hyperbaric Oxygen Therapy, The Oxford Center, Brighton, USA.

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Summary

This study analyzed the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) using principal component analysis (PCA). Results show applied behavior analysis (ABA) therapy increases the complexity of verbal and social behavior factors in children with autism.

Keywords:
applied behavior analysis (aba)autism and verbal behaviorautism spectrum disorder (asd)cronbach’s alphainternal consistency reliabilitypcaprincipal components analysisvb-mappverbal behavior milestones assessment and placement program

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Area of Science:

  • Developmental Psychology
  • Applied Behavior Analysis (ABA)
  • Autism Spectrum Disorder (ASD) Research

Background:

  • The Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) is crucial for assessing children with autism and language delays.
  • Applied behavior analysis (ABA) professionals utilize VB-MAPP for tailored intervention plans.
  • Limited research exists on VB-MAPP's dimensionality using principal component analysis (PCA) for pretest, posttest, and difference scores.

Purpose of the Study:

  • To conduct PCAs on VB-MAPP pretest, posttest, and difference scores to understand its factor structure.
  • To explore the dimensionality of VB-MAPP scores in children with autism undergoing ABA therapy.
  • To inform the development of more effective assessment and intervention strategies for language and social communication challenges.

Main Methods:

  • Retrospective analysis of 13 children with autism treated with ABA therapy using the VB-MAPP (pretest-posttest design).
  • Descriptive statistics, Cronbach's alpha for reliability, Wilcoxen signed-rank test for significance, and PCA with orthogonal rotation were performed.
  • Analysis focused on pretest, posttest, and difference scores to examine the VB-MAPP's factor structure.

Main Results:

  • High internal consistency reliability for pretest (0.948) and posttest (0.937) scores; acceptable for difference scores (0.752).
  • PCA identified three factors for pretest (85.584% variance) and posttest (84.293% variance) scores.
  • PCA revealed four factors for difference scores (82.317% variance), indicating increased complexity post-ABA treatment.

Conclusions:

  • The shift from three to four principal components post-ABA treatment highlights the therapy's multi-faceted impact on children's verbal and social behavior.
  • The increased factor complexity suggests a richer, more nuanced pattern of improvements, reflecting ABA's effectiveness.
  • Findings support the comprehensive and individualized nature of ABA, fostering broad developmental gains in children with autism.