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Cited by 187

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Dimensions of Marriage Happiness

Orden, Susan R., Bradburn, Norman M.·1968·American Journal of Sociology

Abstract

This paper is concerned with the development of a theoretical model of the structure of marriage happiness that may be useful for diagnosis, analysis, and prediction. An over-all model, composed of a dimension of satisfactions and a dimension of tensions which function independently to produce happiness in marriage, is suggested. The independent dimensions correlate in the expected directions with an individual's own assessment of his marriage, but do not correlate with each other. These characteristics suggest that the difference between an individual's scores on the satisfactions and tensions indexes, called the "Marriage Adjustment Balance Scale" (MABS), is a good over-all indicator of an individual's happiness in marriage. Marriage happiness self-ratings and the MABS were found to be positively related to over-all happiness ratings. Each of the marriage happiness indexes is also related to over-all happiness in the expected direction. Finally, marriage happiness is related to over-all happiness through both positive and negative affect, so that there appears to be a perfect meshing between the two-dimensional structure of marriage happiness and the two-dimensional structure of psychological well-being.

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Metadata

Authors
Orden, S. R., & Bradburn, N. M.
Venue
American Journal of Sociology
Published
1968-05
Volume
73
Issue
6
Pages
715-731
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2007552378
Cited by
187
References
0
FWCI
8.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dimensions of Marriage Happiness. https://app.cochat.ai/papers/10.1086/224565
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Orden, S. R., & Bradburn, N. M. (1968). Dimensions of Marriage Happiness. American Journal of Sociology. https://doi.org/10.1086/224565

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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.