心理学
验证性因素分析
探索性因素分析
构造(python库)
结构效度
差异(会计)
多级模型
职业发展
集合(抽象数据类型)
工作投入
社会心理学
增量有效性
解释的变化
收敛有效性
应用心理学
工作(物理)
心理测量学
结构方程建模
发展心理学
计算机科学
内部一致性
程序设计语言
业务
工程类
会计
机器学习
机械工程
作者
Joo Young Lee,Christopher Chen,Eli Kolokowsky,Sharon Hong,Jason T. Siegel,Stewart I. Donaldson
标识
DOI:10.1177/10690727211002565
摘要
This research introduces career crafting to describe a set of lifelong career behaviors that individuals engage in when developing their meaningful career paths. The Career Crafting Assessment (CCA), based on the defined criteria of career crafting, was developed to measure the construct and its validity was tested across two studies. Exploratory factor analysis in Study 1 revealed that the CCA is multidimensional, composed of four factors. Confirmatory factor analysis in Study 2 further specified that the CCA is hierarchical, demonstrating a good model fit of a four-factor model with a higher-order factor. Correlational tests indicated that career crafting is positively related to existing career constructs, demonstrating convergent validity. Furthermore, the CCA predicted meaningful work, work engagement, and subjective career success, providing concurrent validity. Finally, a series of hierarchical regression tests revealed that career crafting accounts for more of the variance in meaningful work and work engagement than job crafting but not in subjective career success, partially providing incremental evidence. Overall, study findings suggest that (a) career crafting is a distinct construct, and (b) the CCA is a valid measure for assessing career crafting that can be used to better understand lifelong career behaviors to make one’s career more meaningful and engaging.
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