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Factor structure of the Motivation Assessment Scale
N N Singh1, L S Donatelli, A Best
1Medical College of Virginia, Department of Psychiatry, Richmond 23298-0489.
Journal of Intellectual Disability Research : JIDR
|February 1, 1993
Summary
The Motivation Assessment Scale (MAS) shows a robust factor structure for assessing problem behaviors in individuals with developmental disabilities. Its clinical utility in predicting behavior functions is confirmed when target behaviors occur at a high rate.
Area of Science:
- Developmental Psychology
- Behavioral Analysis
- Clinical Psychology
Background:
- Problem behaviors in individuals with developmental disabilities are often controlled by specific functions.
- The Motivation Assessment Scale (MAS) was developed to identify these functions.
- Previous validation relied on face validity and limited correlational studies.
Purpose of the Study:
- To validate the factor structure of the MAS in different settings.
- To determine the clinical utility of the MAS in identifying controlling functions of self-injurious behavior.
- To assess the impact of behavior frequency on the MAS factor structure.
Main Methods:
- Factor analysis with varimax rotation was applied to MAS ratings from two samples (N=60 residents, N=96 students).
- Self-injury was the target behavior, with varying frequencies between institutional and school samples.
- Ratings were collected from staff in residential facilities and teachers in schools.
Main Results:
- A meaningful four-factor structure (sensory, escape, attention, tangible) emerged for the institutional sample.
- The factor structure was not clearly defined for the school sample with lower frequency behaviors.
- The MAS demonstrated a robust factor structure for high-frequency self-injury.
Conclusions:
- The MAS possesses a robust factor structure and potential clinical utility for predicting problem behavior functions.
- The scale's effectiveness is contingent on the target behavior occurring at a minimum rate of 15 responses per hour.
- Further research may refine the MAS application across diverse behavioral frequencies and settings.