Individual Differences in How Work and Nonwork Life Domains Contribute to Life Satisfaction: Using Factor Mixture Modeling for Classification

Heike Heidemeier () and Anja Göritz ()

Journal of Happiness Studies, 2013, vol. 14, issue 6, 1765-1788

Abstract: This study used factor mixture modeling to investigate individual differences in how life satisfaction is construed. Referring to the cognitive regulation of well-being we aimed to identify individuals for whom work and nonwork life domains contribute differently to overall life satisfaction. In a sample of 1,704 working adults two subgroups with different response patterns were identified. In the first subgroup work and nonwork life domains contributed equally to overall life satisfaction. In the second subgroup satisfaction with nonwork rather than work-related life domains were important sources of life satisfaction. Furthermore, participants in the second group processed negative affect from the work domain in ways that enabled them to maintain high levels of life satisfaction. We examined the external validity of class assignment and replicated our findings in a second sample. How factor mixture modeling can be used to uncover cognitive mechanisms that operate in evaluations of life satisfaction is discussed. Copyright Springer Science+Business Media Dordrecht 2013

Keywords: Life satisfaction; Self-evaluation; Well-being paradox; Factor mixture modeling; Work-nonwork linkages; Measurement invariance (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10902-012-9409-4 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jhappi:v:14:y:2013:i:6:p:1765-1788

Ordering information: This journal article can be ordered from
http://www.springer. ... fe/journal/10902/PS2

DOI: 10.1007/s10902-012-9409-4

Access Statistics for this article

Journal of Happiness Studies is currently edited by Antonella Delle Fave

More articles in Journal of Happiness Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().