2016
DOI: 10.1111/emip.12134
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Within‐High‐School Versus Across‐High‐School Scaling of Admissions Assessments: Implications for Validity and Diversity Effects

Abstract: Previous research has established that SAT scores and high school grade point average (HSGPA) differ in their predictive power and in the size of mean differences across racial/ethnic groups. However, the SAT is scaled nationally across all test takers while HSGPA is scaled locally within a school. In this study, the researchers propose that this difference in how SAT scores and HSGPA are scaled partially explains differences in validity and subgroup differences. Using a large data set consisting of 170,390 st… Show more

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Cited by 5 publications
(7 citation statements)
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“…However, it is widely recognized that these assumptions are not warranted. Grading standards vary among high schools (Kostal, Sackett, & Kuncell, ), and this variation is correlated with the demographic characteristics of schools (Koretz & Berends, ). Indeed, as Kostal et al.…”
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confidence: 99%
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“…However, it is widely recognized that these assumptions are not warranted. Grading standards vary among high schools (Kostal, Sackett, & Kuncell, ), and this variation is correlated with the demographic characteristics of schools (Koretz & Berends, ). Indeed, as Kostal et al.…”
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confidence: 99%
“…Indeed, as Kostal et al. () point out, the inconsistency in grading standards across high schools is often seen as a justification for using college admissions test scores to complement HSGPA in making admissions decisions.…”
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confidence: 99%
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“…The 107 institutions in our data set varied on a number of important characteristics, including public versus private control, selectivity, size of student body, and regional location. The database used in our study has been used in other published research (e.g., Beatty, Walmsley, Sackett, Kuncel, & Koch, 2015; Dahlke, Kostal, Sackett, & Kuncel, 2018; Higdem et al, 2016; Kostal, Kuncel, & Sackett, 2015; Kostal, Sackett, Kuncel, Walmsley, & Stemig, 2017; Shewach, Shen, Sackett, & Kuncel, 2017; Yu, Sackett, & Kuncel, 2016), but the present study is the first to use these data to examine differential validity…”
Section: Methodsmentioning
confidence: 99%