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Open AccessJournal ArticleDOI

The Evolution of Fertility Expectations Over the Life Course

Sarah R. Hayford
- 01 Nov 2009 - 
- Vol. 46, Iss: 4, pp 765-783
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TLDR
Using data from the National Longitudinal Survey of Youth, 1979 cohort, group-based trajectory analysis illuminates common patterns in the evolution of fertility intentions and identifies individual characteristics associated with these patterns.
Abstract
In low-fertility contexts, how many children people have is largely a product of how many children they want. However, the social, institutional, and individual factors that influence how many children people want are not well understood. In particular, there is scant evidence about how fertility expectations change over the life course. This article provides an empirical description of changes in women's expected fertility over the entire span of childbearing years. Using data from the National Longitudinal Survey of Youth, 1979 cohort, group-based trajectory analysis illuminates common patterns in the evolution of fertility intentions and identifies individual characteristics associated with these patterns. Factors related to family formation, such as marriage and whether a woman has a child at an early age, are found to be the most consistent correlates of patterns of change in expected family size.

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Journal ArticleDOI

Two Is Best? The Persistence of a Two‐Child Family Ideal in Europe

TL;DR: This article analyzed responses of women of reproductive age from 168 surveys conducted in 37 countries in 1979-2012 and found that a two-child ideal has become nearly universal among women in all parts of Europe.
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Yearning, Learning, and Conceding: Reasons Men and Women Change Their Childbearing Intentions

TL;DR: It is found that changes to child-bearing plans are influenced by a much wider range of factors than this, and it is concluded that the determinant of increases in planned fertility are not simply equal and opposite to the determinants of decreases.
Journal ArticleDOI

A Cognitive–Social Model of Fertility Intentions

TL;DR: This work draws on recent brain and cognition research to contextualize fertility intentions within a broader set of conscious and unconscious mechanisms that contribute to mental function and provides a social-cognitive explanation for why intentions predict as well as they do.
Journal ArticleDOI

On the positive correlation between education and fertility intentions in Europe: Individual- and country-level evidence☆

TL;DR: Results suggest that a positive association between women's level of education and lifetime fertility intentions exists at both the individual and country levels, as well as in a micro–macro integrated framework.
Journal ArticleDOI

Classifying life course trajectories: a comparison of latent class and sequence analysis

TL;DR: In this paper, the authors compare the consistency of the classification that is obtained via the two techniques by using a data set on the life course trajectories of young adults and adopt a simulation approach to measure the ability of these two methods to classify groups of life-course trajectories correctly when specific forms of random variability are introduced within prespecified classes in an artificial data set.
References
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Book

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TL;DR: In this paper, the author explains "theory and reasoned action" model and then applies the model to various cases in attitude courses, such as self-defense and self-care.
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Unequal Childhoods: Class, Race, and Family Life

TL;DR: The power and limits of social class are explored in this paper, where the authors present a theory of Bourdieu's theory of the power of social structure and daily life in the organization of daily life.
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Group-based modeling of development

TL;DR: In this article, the authors lay out the basic model and select groups as an approximate approximation of the original model, and statistically link group membership to Covariates, and add covariates to the trajectories themselves.
Journal ArticleDOI

Analyzing developmental trajectories: A semiparametric, group-based approach

TL;DR: Agroup-based method for identifying distinctive groups of individual trajectories within the population and for profiling the characteristics of group members is demonstrated.
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