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TitleMeasuring university-to-work success: development of a new scale
Author(s)Oliveira, M.C.
Melo-Silva, L.L.
Taveira, Maria do Céu
Grace, R.C.
KeywordsCareer success
College students
Higher education
Career development
Young adults
Issue date2016
JournalCareer Development International
CitationMarina Cardoso de Oliveira Lucy Leal Melo-Silva Maria do Céu Taveira Randolph C Grace , (2016),"Measuring university-towork success: development of a new scale", Career Development International, Vol. 21 Iss 1 pp. -
Abstract(s)Purpose – The purpose of this paper is to develop a subjective multidimensional measure of early career success during university-to-work transition. Design/methodology/approach – The construct of university-to-work success (UWS) was defined in terms of intrinsic and extrinsic career outcomes, and a three-stage study was conducted to create a new scale. Findings – A preliminary set of items was developed and tested by judges. Results showed the items had good content validity. Factor analyses indicated a four-factor structure and a second-order model with subscales to assess: career insertion and satisfaction, confidence in career future, income and financial independence, and adaptation to work. Third, the authors sought to confirm the hypothesized model examining the comparative fit of the scale and two alternative models. Results showed that fits for both the first- and second-order models were acceptable. Research limitations/implications – The proposed model has sound psychometric qualities, although the validated version of the scale was not able to incorporate all constructs envisaged by the initial theoretical model. Results indicated some direction for further refinement. Practical implications – The scale could be used as a tool for self-assessment or as an outcome measure to assess the efficacy of university-to-work programs in applied settings. Originality/value – This study provides a useful single measure to assess early career success during the university-to-work transition, and might facilitate testing of causal models which could help identify factors relevant for successful transition.
Publisher version
AccessOpen access
Appears in Collections:CIPsi - Artigos (Papers)

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