The DOI matches its Crossref record.
The Job-Satisfaction/ Life-Satisfaction Relationship: A Review of Empirical Research
Abstract
After a brief discussion of the nature and importance of work, this article reviews empirical research that relates satisfaction with work to satisfaction with life. The review covers more than 350 job-satisfaction/life-satisfaction relationships reported in 23 studies that vary widely in terms of the sample, instrumentation, and date of survey. For more than 90% of the cases, the direction of this relationship is positive; and none of the scattered negative relationships is statistically reliable. The magnitude of the reported zero-order relationship between job satisfaction and overall life satisfaction is typically modest, with correlations mostly in the mid-.30's for males and mid-.20's for females. The typical job-satisfaction/life-satisfaction correlation drops to the low teens when specific facets of life satisfaction, such as marital or leisure satisfaction, are used instead of overall life satisfaction. Discussion of these findings focuses on conceptual and methodological concerns at the more general level of the relationship between work and nonwork.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Diener, E. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.3.542 · Cited by 11,023
Beyond money: toward an economy of well-being
Diener, E., & Seligman, M. E. P. (2004) · Psychological Science in the Public Interest · doi:10.1111/j.0963-7214.2004.00501001.x · Cited by 2,555
Mechanisms linking work and family: clarifying the relationship between work and family constructs
Edwards, J. R., & Rothbard, N. P. (2000) · The Academy of Management Review · doi:10.2307/259269 · Cited by 1,044
Gender differences in work-family conflict
Duxbury, L. E., & Higgins, C. A. (1991) · Journal of Applied Psychology · doi:10.1037/0021-9010.76.1.60 · Cited by 782
The ‘What’, ‘Why’ and ‘How’ of Employee Well-Being: A New Model
Page, K. M., & Vella-Brodrick, D. A. (2009) · Social Indicators Research · doi:10.1007/s11205-008-9270-3 · Cited by 550
Metadata
- Authors
- Rice, R. W., Near, J. P., & Hunt, R. G.
- Venue
- Basic and Applied Social Psychology
- Publisher
- Informa UK Limited
- Published
- 1980-03
- Volume
- 1
- Issue
- 1
- Pages
- 37-64
- ISSN
- 0197-3533 (ISSN-L)
- 1532-4834
- OpenAlex
- W2127234119
- Cited by
- 300
- References
- 0
- FWCI
- 7.74
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.