Predictive utility of the Computer-based Music Perception Assessment for Children (CMPAC)

Eric G Waldon1, David E Wolfe

  • 1University of the Pacific.

Insights

The Computer-based Music Perception Assessment for Children (CMPAC) effectively evaluates children's music listening behaviors. This tool aids music therapists in making crucial referral decisions for hospitalized children.

Area of Science:

  • Music Therapy
  • Child Psychology
  • Computational Assessment

Background:

  • Music therapists require reliable tools to assess children's responses to music.
  • Evaluating listening behaviors is crucial for therapeutic interventions.
  • Existing assessment methods may not capture nuanced musical engagement in children.

Purpose of the Study:

  • To field test and standardize the Computer-based Music Perception Assessment for Children (CMPAC).
  • To determine the utility of CMPAC in assessing children's music listening and related behaviors.
  • To evaluate CMPAC's predictive value for music therapist referral decisions.

Main Methods:

  • Developed and administered the CMPAC to 49 children (31 elementary, 18 hospitalized).
  • Children interacted with music genres by clicking on images and listening to excerpts.
  • Collected data on listening frequency, duration, order, and therapist's observational notes.

Main Results:

  • CMPAC generated data on song preference, listening duration, and sequence.
  • Therapist observations provided qualitative insights into engagement and distraction.
  • Statistical analysis indicated CMPAC's predictive utility for referrals.

Conclusions:

  • CMPAC is a valuable and valid assessment tool for music therapists.
  • The assessment provides critical data for understanding children's musical engagement.
  • CMPAC supports informed referral decisions, particularly for hospitalized children.

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