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Cited by 613

The DOI matches its Crossref record; 118 of the 118 references it cites were found in a registry or an index.

The Measurement of Age, Age Structuring, and the Life Course

Settersten, Richard A., Mayer, Karl Ulrich·1997·Annual Review of Sociology

Abstract

The measurement of age, age structuring, and the life course has become more problematic as the study of human lives has moved toward more detailed analyses and explanations. As we seek to better understand the course of human lives in contemporary and changing societies, the effective empirical measurement of its key concepts simultaneously becomes more pressing and more complicated. We first review the critical concepts of, and measurement strategies associated with, age and age structuring—including a discussion of different types of age, subjective age identification, age norms and age expectations, critical life events, life phases, and life review. We then discuss state-of-the-art methods for measuring the life course, especially through life history and event matrices, and we close the chapter with some comments on the organization, analysis, and modeling of data.

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Crossref · 10.1146/annurev.soc.23.1.233

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Metadata

Authors
Settersten, R. A., & Mayer, K. U.
Venue
Annual Review of Sociology
Published
1997-08
Volume
23
Issue
1
Pages
233-261
ISSN
  • 0360-0572 (ISSN-L)
  • 1545-2115
OpenAlex
W2140707544
Cited by
613
References
118
FWCI
17.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Measurement of Age, Age Structuring, and the Life Course. https://app.cochat.ai/papers/10.1146/annurev.soc.23.1.233
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Settersten, R. A., & Mayer, K. U. (1997). The Measurement of Age, Age Structuring, and the Life Course. Annual Review of Sociology. https://doi.org/10.1146/annurev.soc.23.1.233

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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.