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This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n=10) and in a typical college population (n=37). The use

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n=10) and in a typical college population (n=37). The use of EDA allowed for trends to emerge from the data and provided a foundation for future research in the areas of biofeedback and accommodations for college students with ASD. Comparing the first five weeks of the study with the second five weeks of the 10 week study, both groups showed improvement in their control of heart rate variability, a physiological marker for anxiety used in biofeedback. The ASD group showed greater gains, more consistent gains, and less variability in raw scores than the typical group. EDA also revealed a pattern between participant attrition and a participant's biofeedback progress. Implications are discussed.
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    Title
    • Evaluation of a biofeedback intervention in college students diagnosed with autism spectrum disorders
    Contributors
    Date Created
    2013
    Resource Type
  • Text
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    Note
    • thesis
      Partial requirement for: Ph. D., Arizona State University, 2013
    • bibliography
      Includes bibliographical references (p. 55-60)
    • Field of study: Curriculum and instruction

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    Statement of Responsibility

    by Garret Westlake

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