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

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.