Frontiers in Psychology | |
Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance | |
Constanze Leineweber1  Aleksandra Bujacz2  Susanna Toivanen3  Claudia Bernhard-Oettel4  Louise E. Bergman4  | |
[1] Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden;Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden;School of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden;Section for Work and Organizational Psychology, Department of Psychology, Stockholm University, Stockholm, Sweden; | |
关键词: self-employed; Entrepreneurship; Sweden; emotional exhaustion; depressive symptoms; sleep disturbances; mental health problems; approximate measurement invariance; | |
DOI : 10.3389/fpsyg.2020.598303 | |
来源: Frontiers | |
【 摘 要 】
Studies investigating differences in mental health problems between self-employed and employed workers have provided contradictory results. Many of the studies utilized scales validated for employed workers, without collecting validity evidence for making comparisons with self-employed. The aim of this study was (1) to collect validity evidence for three different scales assessing depressive symptoms, emotional exhaustion, and sleep disturbances for employed workers, and combinators; and (2) to test if these groups differed. We first conducted approximate measurement invariance analysis and found that all scales were invariant at the scalar level. Self-employed workers had least mental health problems and employed workers had most, but differences were small. Though we found the scales invariant, we do not find them optimal for comparison of means. To be more precise in describing differences between groups, we recommend using clinical cut-offs or scales developed with the specific purpose of assessing mental health problems at work.
【 授权许可】
CC BY
【 预 览 】
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RO202107163637949ZK.pdf | 469KB | download |