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The Career Satisfaction Scale: Longitudinal measurement invariance and latent growth analysis
Author(s) -
Spurk Daniel,
Abele Andrea E.,
Volmer Judith
Publication year - 2011
Publication title -
journal of occupational and organizational psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 114
eISSN - 2044-8325
pISSN - 0963-1798
DOI - 10.1111/j.2044-8325.2011.02028.x
Subject(s) - psychology , scale (ratio) , variance (accounting) , latent growth modeling , construct (python library) , measurement invariance , longitudinal study , longitudinal sample , longitudinal data , sample (material) , social psychology , explained variation , econometrics , statistics , applied psychology , structural equation modeling , confirmatory factor analysis , developmental psychology , mathematics , demography , computer science , sociology , physics , accounting , chemistry , chromatography , quantum mechanics , business , programming language
The present research analyses the adequacy of the widely used Career Satisfaction Scale (CSS; Greenhaus, Parasuraman, & Wormley, 1990) for measuring change over time. We used data of a sample of 1,273 professionals over a 5‐year time period. First, we tested longitudinal measurement invariance of the CSS. Second, we analysed changes in career satisfaction by means of multiple indicator latent growth modelling (MLGM). Results revealed that the CSS can be reliably used in mean change analyses. Altogether, career satisfaction was relatively stable over time; however, we found significant variance in intra‐individual growth trajectories and a negative correlation between the initial level of and changes in career satisfaction. Professionals who were initially highly satisfied became less satisfied over time. Theoretical and practical implications with respect to the construct of career satisfaction and its development over time (i.e., alpha, beta, and gamma change) are discussed.