Keller, Anita; Igic, Ivana; Meier, Laurenz L.; Semmer, Norbert K.; Schaubroeck, John M.; Brunner, Beatrice; Elfering, Achim (2017). Testing job typologies and identifying at-risk subpopulations using factor mixture models. Journal of occupational health psychology, 22(4), pp. 503-517. American Psychological Association 10.1037/ocp0000038
![[img]](https://boris.unibe.ch/style/images/fileicons/text.png) |
Text
Keller, Igic, Meier testing job typologies ...pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (342kB) | Request a copy |
Research in occupational health psychology has tended to focus on the effects of single job characteristics or various job characteristics combined into 1 factor. However, such a variable-centered approach does not account for the clustering of job attributes among groups of employees. We addressed this issue by using a person-centered approach to (a) investigate the occurrence of different empirical constellations of perceived job stressors and resources and (b) validate the meaningfulness of profiles by analyzing their association with employee well-being and performance. We applied factor mixture modeling to identify profiles in 4 large samples consisting of employees in Switzerland (Studies 1 and 2) and the United States (Studies 3 and 4). We identified 2 profiles that spanned the 4 samples, with 1 reflecting a combination of relatively low stressors and high resources (P1) and the other relatively high stressors and low resources (P3). The profiles differed mainly in terms of their organizational and social aspects. Employees in P1 reported significantly higher mean levels of job satisfaction, performance, and general health, and lower means in exhaustion compared with P3. Additional analyses showed differential relationships between job attributes and outcomes depending on profile membership. These findings may benefit organizational interventions as they show that perceived work stressors and resources more strongly influence satisfaction and well-being in particular profiles.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
07 Faculty of Human Sciences > Institute of Psychology > Work and Organisational Psychology |
UniBE Contributor: |
Igic, Ivana (A), Semmer, Norbert Karl, Elfering, Achim |
Subjects: |
100 Philosophy > 150 Psychology 300 Social sciences, sociology & anthropology |
ISSN: |
1076-8998 |
Publisher: |
American Psychological Association |
Language: |
English |
Submitter: |
Christine Soltermann |
Date Deposited: |
25 Apr 2018 08:57 |
Last Modified: |
29 Mar 2023 23:35 |
Publisher DOI: |
10.1037/ocp0000038 |
PubMed ID: |
27111428 |
BORIS DOI: |
10.7892/boris.113223 |
URI: |
https://boris.unibe.ch/id/eprint/113223 |
Actions (login required)
 |
Edit item |