Cited by 68Youth Education and Societal DynamicsIntergenerational and Educational Inequality StudiesHigher Education Research Studies

Educational resilience in later life: Resources and assets in adolescence and return to education after leaving school at age 16

Sacker, Amanda, Schoon, Ingrid·2007·Social Science Research

Integrity signals

Registry

Crossref · 10.1016/j.ssresearch.2006.06.002

Cites

62 of 62 references verified0 citation errors · 0 not checkable

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Authors
Sacker, A., & Schoon, I.
Affiliations
  • University College London (GB)
  • City, University of London (GB)
Corresponding author
Sacker, Amanda
Venue
Social Science Research
Publisher
Elsevier BV
Published
2007-09
Volume
36
Issue
3
Pages
873-896
ISSN
0049-089X (ISSN-L)
OpenAlex
W2099444296
Cited by
68
References
62
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 9 · 2021: 10 · 2020: 5 · 2019: 2 · 2018: 1 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 1 · 2012: 2
FWCI
7.67
Type
journal article
Language
en
Open access
closed
Locations
  • Social Science Research (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Economic and Social Research Council
  • Research England
Topics
  • Social Sciences › Sociology and Political Science › Youth Education and Societal Dynamics
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Social Sciences › Education › Higher Education Research Studies
Keywords
academic resilience, school dropout, returns to education, further education, 1958 British birth cohort, family resources, private wealth, social deprivation, educational attainment, old age, reserve capacity

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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