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      Career Adapt-Abilities Scale–Short Form (CAAS-SF) : Construction and Validation

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          Abstract

          The Career Adapt-Abilities Scale (CAAS) has become one of the most widely used questionnaires to assess career adaptability. To facilitate its integration into large surveys, in varied settings, the aim of this article was to develop a brief 12-item version, the Career Adapt-Abilities Scale–Short Form (CAAS-SF). A sample of 2,800 French- and German-speaking adults living in Switzerland completed the CAAS. On a first random subsample, a principal component analyses conducted on the CAAS-SF suggested a four-factor solution. A one-to-one association was found between these components and the subscales of the CAAS-SF. Confirmatory factor analyses, conducted on a second random subsample, confirmed the hierarchical factor structure of this short version. Based on Cheung and Rensvold’s criteria, the CAAS-SF reached measurement equivalence across linguistic and gender groups. Furthermore, the 12- and 24-item versions were strongly associated. The results supported the CAAS-SF as pertinent and economical alternative to the 24-item version.

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          Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

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              Alternative Ways of Assessing Model Fit

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                Author and article information

                Journal
                Journal of Career Assessment
                Journal of Career Assessment
                SAGE Publications
                1069-0727
                1552-4590
                May 2017
                January 06 2015
                May 2017
                : 25
                : 2
                : 312-325
                Affiliations
                [1 ]Swiss National Centre of Competence in Research LIVES, University of Lausanne, Lausanne, Switzerland
                [2 ]Institute of Psychology, University of Lausanne, Lausanne, Switzerland
                [3 ]Department of Behavioral and Community Health Sciences, Northeastern Ohio Universities College of Medicine, Rootstown, OH, USA
                Article
                10.1177/1069072714565856
                b58bd085-f184-4ce8-bd90-76ee1fa07053
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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