Doudou Liu, Yuanmei Lan, Chaoping Li, Yan Xu, Jie Yang
{"title":"A Bifactor Exploratory Structural Equation Modeling Representation of the Structure of the Decent Work Scale: Evidence from China","authors":"Doudou Liu, Yuanmei Lan, Chaoping Li, Yan Xu, Jie Yang","doi":"10.1177/10690727221096487","DOIUrl":null,"url":null,"abstract":"The present study investigates the psychometric properties of decent work utilizing the bifactor exploratory structural equation modeling (Bifactor-ESEM) approach. Using a sample of 701 Chinese employees who completed the multidimensional Decent Work Scale (DWS: Duffy et al., 2017), this study reveals the superiority of the Bifactor-ESEM representation of DWS compared to alternative representations of the data (ICM-CFA, Bifactor-CFA, and ESEM). Additionally, the results of measurement invariance in the MIMIC framework indicate the DWS is equivalent in various age and job tenure samples of participants. Finally, the results provide evidence for the criterion validity by confirming the importance of accounting for both the G-factor (representing the global level of decent work) and the S-factors (representing the specific level of decent work), which shows that specific types of decent work explained variance in covariates (i.e., work well-being, life well-being, engagement, and turnover intention) over and above the variance already explained by the G-factor.","PeriodicalId":47978,"journal":{"name":"Journal of Career Assessment","volume":"31 1","pages":"109 - 128"},"PeriodicalIF":2.8000,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Career Assessment","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/10690727221096487","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The present study investigates the psychometric properties of decent work utilizing the bifactor exploratory structural equation modeling (Bifactor-ESEM) approach. Using a sample of 701 Chinese employees who completed the multidimensional Decent Work Scale (DWS: Duffy et al., 2017), this study reveals the superiority of the Bifactor-ESEM representation of DWS compared to alternative representations of the data (ICM-CFA, Bifactor-CFA, and ESEM). Additionally, the results of measurement invariance in the MIMIC framework indicate the DWS is equivalent in various age and job tenure samples of participants. Finally, the results provide evidence for the criterion validity by confirming the importance of accounting for both the G-factor (representing the global level of decent work) and the S-factors (representing the specific level of decent work), which shows that specific types of decent work explained variance in covariates (i.e., work well-being, life well-being, engagement, and turnover intention) over and above the variance already explained by the G-factor.
期刊介绍:
The Journal of Career Assessment publishes methodologically sound, empirically based studies focusing on the process and techniques by which counselors and others gain understanding of the individual faced with the necessity of making informed career decisions. The term career assessment, as used in this journal, covers the various techniques, tests, inventories, rating scales, interview schedules, surveys, and direct observational methods used in scientifically based practice and research to provide an improved understanding of career decision-making. The focus is not just testing, but all those means developed and used to assess and evaluate individuals and environments in the field of career counseling and development.