Investigating the Multidimensionality of the Work-Related Flow Inventory (WOLF): A Bifactor Exploratory Structural Equation Modeling Framework

Frontiers in Psychology

article

Honglei Gu¹  Zhonglin Wen²  Xitao Fan³ 

[1] Cognition and Human Behavior Key Laboratory of Hunan Province, Department of Psychology, Hunan Normal University;Center for Studies of Psychological Application, School of Psychology, South China Normal University;School of Humanities & Social Science, The Chinese University of Hong Kong (Shenzhen)

关键词: work-related flow;    WOLF;    bifactor model;    ESEM;    B-ESEM;    measurement invariance;    nomological validity;   

DOI  :  10.3389/fpsyg.2020.00740

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

This study investigated the factor structure of the Work-Related Flow Inventory (WOLF) through the application of the bifactor exploratory structural equation modeling (B-ESEM) framework. Using a sample of 577 Chinese teachers, we contrasted a series of competing models, including CFA, ESEM, bifactor CFA, and B-ESEM models. The results suggested that the B-ESEM structure with three S-factors (absorption, work enjoyment, and intrinsic work motivation) and one G-factor (global flow) was the best representation of the WOLF ratings. The results also supported the composite reliability and the strict invariance of this measurement structure between male and female groups. Relative to males, female teachers showed a higher level of global work-related flow experience. Finally, the nomological validity of WOLF ratings was supported by the statistical relationships of the WOLF factors with job satisfaction and autonomy.

【 授权许可】

CC BY