Evidence map›Paper›PMID 30774188›Full record

ArticleSociological perspectives : SP : official publication of the Pacific Sociological Association2018

Family-related Disparities in College Enrollment across the Great Recession.

Elizabeth Cozzolino, Chelsea Smith, Robert L Crosnoe

Open access · greenAbstract read
In one paragraph

Article in Sociological perspectives : SP : official publication of the Pacific Sociological Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Elizabeth CozzolinoUniversity of Texas at Austin, Austin, TX, USA.
Chelsea SmithUniversity of Texas at Austin, Austin, TX, USA.
Robert L CrosnoeUniversity of Texas at Austin, Austin, TX, USA.
The University of Texas at Austin · US

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI UMBERSON, DEBRA J. · 2002 to 2016
$8.4M
Training Program in Population StudiesT32HD007081 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI Aprile Dawn Benner, Abigail Mae Weitzman · 1985 to 2026
$6.8M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849NICHD NIH HHS R24 HD042849NICHD NIH HHS T32 HD007081
6 · The paper itself

Abstract

The economic crisis of the Great Recession in the late 2000s had implications for the intergenerational transmission of inequality within families. Studying patterns of college enrollment across the Great Recession among U.S. youth from diverse family contexts provides insight into how economic volatility can either compound or undercut the advantages that some parents can give their children. Although college enrollment among 18- to 21-year-olds did not decline during or after the Great Recession, analyses of the National Longitudinal Survey of Youth 1979-Young Adult cohort revealed that this general trend subsumed variability by family history, local economic conditions, and age. Histories of family stability and sufficiency were associated with higher odds of college enrollment over time and across age, but this advantage was largest during the Recession in high-unemployment communities. These results illuminate how life course consequences of early family life can fluctuate with volatility and opportunity in the broader economy.

Indexed as

children and youtheducationfamily

Identifiers

PMID30774188
PMCPMC6372127
OpenAlexW2790583668

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.