The DOI matches its Crossref record.
Using scholastic aptitude test scores as indicators of state educational performance
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Students on the margin of taking the SAT/ACT tend to have lower scores than students who always take these tests (Dynarski, 1987;Dynarski and Gleason, 1993;Clark, Rothstein and Schanzenbach, 2009).”
From Changing Opportunity: Sociological Mechanisms Underlying Growing Class Gaps and Shrinking Race Gaps in Economic Mobility (2024) · cites this paper as Dynarski and Gleason, 1993
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 5
- Behrendt, 1987, Selectivity bias and the determinants of SAT scores, Econ. Educ. Rev., 5, 363, 10.1016/0272-7757(86)90051-8 · DOI
- Dynarski, 1987, The scholastic aptitude test: participation and performance, Econ. Educ. Rev., 6, 263, 10.1016/0272-7757(87)90005-7 · DOI · Paper page
- Hanushek, 1979, Conceptual and empirical issues in the estimation of education production functions, J. Human Resources, 14, 352, 10.2307/145575 · DOI
- Page, 1985, SAT scores and American states: seeking for useful meaning, J. Educ. Measurement, 22, 305, 10.1111/j.1745-3984.1985.tb01067.x · DOI
- Powell, 1984, Variations in state SAT performance: meaningful or misleading, Harvard Educ. Rev., 54, 389, 10.17763/haer.54.4.9150kg7h3n41773q · DOI
Cited by
Sorted by citations
Chetty, R., Dobbie, W., Goldman, B., Porter, S., & Yang, C. (2024) · doi:10.3386/w32697 · Cited by 32
Metadata
- Authors
- Dynarski, M., & Gleason, P.
- Venue
- Economics of Education Review
- Publisher
- Elsevier BV
- Published
- 1993-09
- Volume
- 12
- Issue
- 3
- Pages
- 203-211
- ISSN
- 0272-7757
- Cited by
- 16
- References
- 0
- Language
- en
About these checks
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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