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Published on: April 23, 2014
Development and validation of the Autonomy Scale Amsterdam
Jessy Bergamin1, Monja Hoven2, Ruth J van Holst2
1Department of Psychiatry, Amsterdam UMC, Meibergdreef 5 1105 AZ, Amsterdam, the Netherlands.
A new Autonomy Scale Amsterdam (ASA) was developed and validated for psychiatric use. This reliable scale measures six factors of autonomy and shows incremental validity in predicting mental health outcomes.
Area of Science:
- Psychology
- Psychiatry
- Psychometrics
Background:
- Autonomy is a crucial concept in mental health.
- Existing measures of autonomy may not fully capture its nuances, particularly in psychiatric contexts.
- A validated scale is needed to assess autonomy comprehensively.
Purpose of the Study:
- To develop and validate the Autonomy Scale Amsterdam (ASA).
- To provide a reliable and valid measure of autonomy relevant for psychiatric research and practice.
- To assess the psychometric properties of the ASA in a general population sample.
Main Methods:
- Scale development based on literature review and expert consultation.
- Validation using three general population samples (total N=856).
- Psychometric analyses including factor structure, reliability, convergent/discriminant validity, and criterion validity.
Main Results:
- A 6-factor structure (Self-integration, Engagement with life, Goal-directedness, Self-control, External constraints, Social support) demonstrated superior fit and high reliability.
- The ASA showed good convergent and discriminant validity with related constructs.
- The scale demonstrated criterion validity with well-being outcomes.
- The ASA showed incremental validity over an existing autonomy measure in predicting mental health.
Conclusions:
- The Autonomy Scale Amsterdam (ASA) is a psychometrically sound measure of autonomy.
- The ASA is a valuable tool for assessing autonomy in the general population and has implications for understanding mental health and disorders.
- The ASA offers unique predictive value for mental health outcomes beyond existing measures.
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