Open Access
Trouwpatronen en de openheid van een samenleving. De samenhang tussen de opleidingsniveaus van (huwelijks) partners in Nederland tussen 1959 en 1977
Herman Sixma,Wout Ultee +1 more
- Vol. 58, Iss: 2, pp 109-131
TLDR
In this article, the educational levels of spouses (N = 2,923) are analyzed for 1954, 1971, and 1977. And the authors show that heterogamy cannot be fully accounted for as "forced" by different educational structures.Abstract:
In "Beroepsmobiliteit tussen generaties in Nederland in 1954 en 1977" ([Professional Mobility between the Generations of 1954 and 1977 in the Netherlands], see abstract in this section), H. Ganzeboom & P. de Graaf have shown that occupational mobility was considerably larger in 1977 than in 1954. To examine the validity of this conclusion for the openness of Dutch society on the whole, another indicator, selective mating, is examined. Using Ganzeboom's & de Graaf's questionnaire data, the educational levels of spouses (N = 2,923) are analyzed for 1954, 1971, & 1977. If partners with the same or different levels of education are called homogamous & heterogamous, respectively, a loglinear analysis shows that: (1) heterogamy cannot be fully accounted for as "forced" by different educational structures; (2) structural & actual heterogamy were more pronounced in 1954 than in 1977; & (3) there was still some dependence between spouses' educational levels after 1971. 3 Tables, 21 References. Modified HAread more
Citations
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Changing gender roles, shifting power balance and long-distance migration of couples
TL;DR: In this article, the authors analyzed the effects of gender roles on the determinants of long-distance migration of couples, using data for the Netherlands, and found that women seemed to use their power mostly to prevent migration.
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The American Occupational Structure
TL;DR: The American Occupational Structure (AOS) as discussed by the authors is the classic source of empirical information on the patterns of occupational achievement in American society and is renowned for its pioneering methods of statistical analysis as well as for its far-reaching conclusions about social stratification and occupational mobility in the United States.
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Family migration and the labour-force participation of married women in the Netherlands, 1977-1996.
TL;DR: Analysis of data from the Dutch Labour-Force Surveys for the years 1977 and 1995-96 showed that married women who migrated in the year before the interview to another province had lesser participation in paid employment than other married women and the intensity of the migration effect differs among different groups of married women.
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The analysis of religious assortative marriage : an application of design techniques for categorical models
TL;DR: Lammers and Wout Ultee as discussed by the authors used loglinear modelling techniques similar to those used in mobility analysis, in order to control for the sizes of the denominations and the factor spacial dispersion by repeating the analysis for provinces in the years 1938,1963 and 1983.
References
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Book
Discrete multivariate analysis: theory and practice
TL;DR: Discrete Multivariate Analysis is a comprehensive text and general reference on the analysis of discrete multivariate data, particularly in the form of multidimensional tables, and contains a wealth of material on important topics.
Book
The American occupational structure
Peter M. Blau,Otis Dudley Duncan +1 more
TL;DR: The American Occupational Structure is renowned for its pioneering methods of statistical analysis as well as for its far-reaching conclusions about social stratification and occupational mobility in the United States.
Book
Opportunity and Change
TL;DR: In this article, the authors examined inter-and intra-cohort changes in educational and occupational achievement and in earnings and social stratification in a service economy and made comparisons between blacks and whites with a further analysis by region and migrant status.
Book
Log-Linear Models
David Knoke,Peter Burke +1 more
TL;DR: Discusses the innovative log-linear model of statistical analysis, which makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.