Cited by 65Higher Education Research StudiesEducational Outcomes and InfluencesSchool Choice and Performance

The Effect of High School Socioeconomic Status on the Predictive Validity of SAT Scores and High School Grade-Point Average: Effect of High School SES on the Predictive Validity of SAT Scores

Zwick, Rebecca, Himelfarb, Igor·2011·Journal of Educational Measurement

Abstract

Research has often found that, when high school grades and SAT scores are used to predict first-year college grade-point average (FGPA) via regression analysis, African-American and Latino students, are, on average, predicted to earn higher FGPAs than they actually do. Under various plausible models, this phenomenon can be explained in terms of the unreliability of predictor variables. Attributing overprediction to measurement error, however, is not fully satisfactory: Might the measurement errors in the predictor variables be systematic in part, and could they be reduced? The research hypothesis in the current study was that the overprediction of Latino and African-American performance occurs, at least in part, because these students are more likely than White students to attend high schools with fewer resources. The study provided some support for this hypothesis and showed that the prediction of college grades can be improved using information about high school socioeconomic status. An interesting peripheral finding was that grades provided by students’ high schools were stronger predictors of FGPA than were students’ self-reported high school grades. Correlations between the two types of high school grades (computed for each of 18 colleges) ranged from .59 to .85.

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Crossref · 10.1111/j.1745-3984.2011.00136.x

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  • The magnitudes of Black overprediction observed here (mean residuals = -.24 for HSGPA-only, -.11 combined) are consistent with estimates from a similar prior study (-.25 and -.12).

    “The magnitudes of Black overprediction observed here (mean residuals = -.24 for HSGPAonly, -.11 combined) are consistent with estimates from a similar prior study (-.25 and -.12; Zwick & Himelfarb, 2011)”
  • Prior work suggests individual and school SES are not merely at different levels of the same construct and may exert independent effects on educational outcomes.

    “Prior work suggests individual and school SES are not merely at different levels of the same construct and may exert inde-pendent effects on educational outcomes (Tan et al., 2025;Zwick & Himelfarb, 2011).”
  • Zwick and Himelfarb (2011) found that including an index of students' average high school SES in a regression model predicting first-year college GPA from high school grades and SAT scores substantially reduced the magnitude of differential prediction for Black students.

    “Zwick and Himelfarb (2011) found that including an index of students' average high school SES, which was measured as an aggregate of parental education and neighborhood poverty indices, in a regression model predicting first-year college GPA from high school grades and SAT scores substantially reduced the magnitude of differential prediction for Black students.”

    From An Omitted Variables Approach to Disentangling Differential Prediction in College Admissions (2026) · cites this paper as Zwick and Himelfarb (2011)

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Authors
Zwick, R., & Himelfarb, I.
Affiliations
  • Educational Testing Service (US)
  • University of California, Santa Barbara (US)
Venue
Journal of Educational Measurement
Publisher
Wiley
Published
2011-06
Volume
48
Issue
2
Pages
101-121
ISSN
0022-0655 (ISSN-L)
OpenAlex
W1566475222
Cited by
65
References
0
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 7 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 8 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 5 · 2014: 6 · 2013: 3 · 2012: 3
FWCI
17.51
Type
journal article
Language
en
Open access
closed
Locations
Journal of Educational Measurement (publishedVersion)
Topics
  • Social Sciences › Education › Higher Education Research Studies
  • Social Sciences › Education › Educational Outcomes and Influences
  • Social Sciences › Education › School Choice and Performance
Keywords
predictive validity, SAT scores, high school grade point average, measurement error, overprediction, African American students, Hispanic students

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