Career Adapt-Abilities Scale: Reliability Generalization Meta-Analysis.
Selen Demirtaş-Zorbaz1, Özlem Ulaş Kılıç2, Çiğdem Akın Arıkan3
1Department of Guidance and Counselling, Ankara University, Ankara, Turkiye.
Psychological Reports
|August 28, 2024
Summary
This meta-analysis found the Career Adapt-Abilities Scale (CAAS) has high overall reliability. However, reliability varies significantly based on factors like culture, language, and age, impacting its research application.
Area of Science:
- Psychology
- Career Development Studies
Background:
- Career adaptability is a key concept in career development theory, gaining prominence over the last 20 years.
- The Career Adapt-Abilities Scale (CAAS) by Savickas and Porfeli is the most utilized measure for assessing career adaptability.
Purpose of the Study:
- To evaluate the overall reliability of the Career Adapt-Abilities Scale (CAAS) using a meta-analytic approach.
- To investigate the heterogeneity in reliability estimates reported across various studies using the CAAS.
Main Methods:
- A meta-analysis was conducted on 149 studies, encompassing a total of 82,519 participants.
- Reliability coefficients from 171 estimations were analyzed to determine the general reliability of the CAAS.
Main Results:
- The meta-analysis revealed a high average reliability coefficient for the overall CAAS score.
- Significant heterogeneity was observed in reliability estimates across studies, indicating variability in scale performance.
- Moderator analysis identified item level, culture, language, item category, CAAS form, age, and SD as factors influencing reliability.
Conclusions:
- While the CAAS demonstrates strong overall reliability, its application in research requires careful consideration of contextual factors.
- The identified sources of heterogeneity necessitate nuanced interpretation of CAAS scores across diverse research settings.
- Further research should explore the implications of these findings for cross-cultural and diverse population studies using the CAAS.
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