Cited by 117Intergenerational and Educational Inequality StudiesCognitive Abilities and TestingSocial and Cultural Dynamics

Verbal ability and socioeconomic success: A trend analysis

Hauser, Robert M., Huang, Min-Hsiung·1997·Social Science Research

Integrity signals

Registry

Crossref · 10.1006/ssre.1997.0604

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Claims other papers make about this one

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  • Historical increases in the quantity of educational attainment during the 20th century are a major factor underlying cognitive cohort differences.

    “Our rationale was that historical increases in the quantity of educational attainment during the 20th century are a major factor underlying cognitive cohort differences (Alwin & McCammon, 2001; Hauser & Huang, 1997; Rönnlund et al., 2005).”

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Authors
Hauser, R. M., & Huang, M.-H.
Affiliations
University of Wisconsin–Madison (US)
Venue
Social Science Research
Publisher
Elsevier BV
Published
1997-09
Volume
26
Issue
3
Pages
331-376
ISSN
0049-089X (ISSN-L)
OpenAlex
W2065145656
Cited by
117
References
0
Citations by year
2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 6 · 2019: 5 · 2018: 7 · 2017: 5 · 2016: 3 · 2015: 4 · 2014: 3 · 2013: 6 · 2012: 2
FWCI
10.86
Type
journal article
Language
en
Open access
closed
Locations
Social Science Research (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Sociology and Political Science › Social and Cultural Dynamics
Keywords
verbal ability, socioeconomic stratification, The Bell Curve, educational attainment, occupational status, income inequality, social background

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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.

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