Evidence map›Paper›PMID 38741928›Full record

ArticleJournal of marriage and the family2021

Classed Pathways to Marriage: Hometown Ties, College Networks, and Life after Graduation.

Elizabeth A Armstrong, Laura T Hamilton

Abstract read
In one paragraph

Article in Journal of marriage and the family, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elizabeth A ArmstrongUniversity of Michigan, 500 S. State, 3115 LSA Building, Ann Arbor, MI 48109.
Laura T HamiltonUniversity of California, Merced, School of Social Sciences, Humanities, and Arts, 5200 North Lake Road, Merced, CA 95343.

Funding

Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

Objective: This article identifies mechanisms through which social class background shapes the marital outcomes of college-going white American women. Background: Scholars are interested in the relative influences of ascriptive and achieved characteristics on mate selection. Research indicates that social class background continues to influence the marriage patterns of college-educated Americans but does not identify the mechanisms through which this occurs. Method: The study analyzes six waves of longitudinal interviews with 45 women from differing social class backgrounds. The first interview was conducted at age 18, when women started college at a Midwestern public university. The final interview was collected at age 30, and was supplemented by a survey collecting the income, education, occupation, and debt of women and their spouses. Results: Women from privileged backgrounds were more likely to marry and married men who earned substantially more than the partners of less privileged women. Differences resulted from lifelong variation in social networks, originating in childhood. College did not interrupt long-standing exclusionary class networks. After graduation, social class background shaped where women moved, as well as with whom they worked and socialized. Conclusion: Higher education in the contemporary US may reinforce rather than interrupt class homogamy in marriage, even when students attend the same schools. The role of higher education in shaping classed social networks is in need of further study.

Indexed as

Educationlongitudinal researchmarriagemate selectionsocial classwomen

Identifiers

PMID38741928
PMCPMC11090476

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.