Evidence map›Paper›PMID 33859731›Full record

ArticleLongitudinal and life course studies : international journal2019

The impact of the Great Recession on educational pursuits in adulthood in the US.

Lindsay H Ryan

Abstract read
In one paragraph

Article in Longitudinal and life course studies : international journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Lindsay H RyanUniversity of Michigan, USA.

Funding

Extending the Longitudinal Study of American Youth into a Study of AgingR01AG049624 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MILLER, JON D · 2014 to 2018
$3.1M
Survey Measures of Subjective Well-being: Age, Appraisal, and Cognition EffectsR01AG040635 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JACQUI · 2011 to 2015
$2.1M
NIA NIH HHS R01 AG040635NIA NIH HHS R01 AG049624
6 · The paper itself

Abstract

Economic downturns are known to spark periods of increased enrolment in traditional educational pursuits. The current study leverages 30-year longitudinal data from the Longitudinal Study of American Life (LSAL; N=1,556) to examine individual characteristics and experiences in adolescence, just prior to the Great Recession, and during it, to understand why some individuals chose to pursue new education or training in response to the recession whereas others did not. Indicators from adolescence include measures of self-esteem, locus of control, persistence, achievement in mathematics and achievement in science and were collected from 1987 to 1993. inclusive. Pre-recession indicators include level of education, occupational and marital status and were collected in 2007. Indicators of the impact of the recession were collected retrospectively in 2014 and include whether a job was lost, whether work hours were reduced, and whether there was difficulty making rent/mortgage payments. Binary logistic regression identified persistence in adolescence, pre-recession education level, reporting reduced hours and difficulty paying rent/mortgage during the recession as associated with the likelihood of pursuing new education during the recession. A follow-up analysis investigated whether the pursuit of additional education/training in response to the recession predicted the likelihood of being employed in 2017. Results indicate that obtaining new education during the recession was associated with later employment status, but the significance and direction of the effect depends on pre-recession education level. Implications of this longitudinal, life course analysis are discussed in addition to recommendation for future directions.

Indexed as

educational attainmentGeneration XGreat Recessionlife courselongitudinalLSAL

Identifiers

PMID33859731
PMCPMC8046010

What OpenQuestion holds

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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.