Who gets the high quality jobs ten years after compulsory school?

Keller, Anita C.; Stalder, Barbara E.; Igic, Ivana; Semmer, Norbert K.; Elfering, Achim (2016). Who gets the high quality jobs ten years after compulsory school? In: Scharenberg, K.; Hupka-Brunner, S.; Meyer, T.; Bergman, M.M. (eds.) Transitionen im Jugend- und jungen Erwachsenenalter = Transitions des adolescents et des jeunes adultes en Suisse = Transitions in youth and young adulthood study, Vol. 2 (pp. 231-251). Zürich: Seismo

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Good work quality is crucial for employee well-being and health. Indicators of work quality are, among others, aspects of one’s work organization and learning opportunities. Based on the Job-Demands Control model we investigate if a) young employees are confronted with different combinations of job characteristics, b) cluster membership is predicted through socio-demographic and educational factors as well as positive self-evaluations and health, and c) cluster membership leads to different associations with job-related and general well-being. Based on TREE (Transition from Education to Employment) data we found three clusters of job characteristics, i.e. high resources – low demands, medium resources – medium demands, and low resources – high demands. Likelihood to be in a more favourable group was higher for females and young employees who reported more positive self-evaluations and higher learning efforts after compulsory school. Young employees in more favourable groups also reported higher levels of job-related and general well-being.

Item Type:

Book Section (Book Chapter)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Work and Organisational Psychology

UniBE Contributor:

Keller, Anita; Igic, Ivana; Semmer, Norbert and Elfering, Achim

Subjects:

100 Philosophy > 150 Psychology

ISBN:

978-3-03777-157-0

Publisher:

Seismo

Projects:

[1036] Transitions from Education to Employment (TREE) Official URL

Language:

Multilingual

Submitter:

Anita Keller

Date Deposited:

14 Apr 2015 16:26

Last Modified:

17 Jun 2019 10:34

Additional Information:

Notes: treeanalysis analysis_thirdparty Date: 2016

URI:

https://boris.unibe.ch/id/eprint/65769

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