A state-trait analysis of job satisfaction: On the effect of core self-evaluations

被引:77
作者
Dormann, C [1 ]
Fay, D [1 ]
Zapf, D [1 ]
Frese, M [1 ]
机构
[1] Johannes Gutenberg Univ Mainz, D-55009 Mainz, Germany
来源
APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE | 2006年 / 55卷 / 01期
关键词
D O I
10.1111/j.1464-0597.2006.00227.x
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Recent research that looked into the dispositional base of job satisfaction focused on relating observed job satisfaction to core self-evaluations (CSE). This study was concerned with (a) the relation between the trait variance of job satisfaction and CSE and (b) the structure of the CSE-variables. Using a longitudinal measurement model in a secondary analysis of four waves of a longitudinal study we first tested whether CSE are sufficiently stable over time. Results indicate a high stability of CSE (.87 across 2 years). We then performed a state-trait decomposition of job satisfaction in order to separate trait variance of job satisfaction from changing variance. The stable job satisfaction factor was regressed on CSE-variables, using different models of CSE (a collective set, a latent factor, or an aggregate concept). Results were in favor of treating the CSE-variables as a collective set, and this set explained almost all stable variance of job satisfaction (84%). Moreover, only negative affectivity and internal locus of control had a significant impact, whereas self-esteem and self-efficacy had not. It is concluded that current conceptualisations of CSE as a superordinate concept underlying its four dimensions is possible but overly broad in job satisfaction research; collective consideration of LOC and NA is better and sufficient.
引用
收藏
页码:27 / 51
页数:25
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