首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献，搜索用时 984 毫秒
1.
Recent research has shown that admissions tests retain the vast majority of their predictive power after controlling for socioeconomic status (SES), and that SES provides only a slight increment over SAT and high school grades (high school grade point average [HSGPA]) in predicting academic performance. To address the possibility that these overall analyses obscure differences by race/ethnicity or gender, we examine the role of SES in the test‒grade relationship for men and women as well as for various racial/ethnic subgroups within the United States. For each subgroup, the test‒grade relationship is only slightly diminished when controlling for SES. Further, SES is a substantially less powerful predictor of academic performance than both SAT and HSGPA. Among the indicators of SES (i.e., father's education, mother's education, and parental income), father's education appears to be strongest predictor of freshman grades across subgroups, with the exception of the Asian subgroup. In general, SES appears to behave similarly across subgroups in the prediction of freshman grades with SAT scores and HSGPA.  相似文献   

2.
Prior research has shown that there is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict 1st-year college performance at different institutions. This article demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. The results revealed that the predictive validity of HSGPA decreased as mean total SAT (i.e., sum of the three SAT sections) score at an institution increased and as the proportion of White freshmen increased. The predictive validity of the three SAT sections (critical reading, mathematics, and writing) varied differently as a function of different institution-level variables. These results suggest that the estimates of validity obtained and aggregated from multiple institutions may not accurately reflect the unique contextual factors that influence the predictive validity of HSGPA and SAT scores at a particular institution.  相似文献   

3.
Most studies predicting college performance from high‐school grade point average (HSGPA) and college admissions test scores use single‐level regression models that conflate relationships within and between high schools. Because grading standards vary among high schools, these relationships are likely to differ within and between schools. We used two‐level regression models to predict freshman grade point average from HSGPA and scores on both college admissions and state tests. When HSGPA and scores are considered together, HSGPA predicts more strongly within high schools than between, as expected in the light of variations in grading standards. In contrast, test scores, particularly mathematics scores, predict more strongly between schools than within. Within‐school variation in mathematics scores has no net predictive value, but between‐school variation is substantially predictive. Whereas other studies have shown that adding test scores to HSGPA yields only a minor improvement in aggregate prediction, our findings suggest that a potentially more important effect of admissions tests is statistical moderation, that is, partially offsetting differences in grading standards across high schools.  相似文献   

4.
The validity of the SAT as an admissions criterion for Latinos and Asian Americans who are not native English speakers was examined. The analyses, based on 1997 and 1998 UCSB freshmen, focused on the effectiveness of SAT scores and high school grade-point average (HSGPA) in predicting college freshman grade-point average (FGPA). When regression equations were estimated based on all students combined, some systematic prediction errors occurred. For language minorities, using only high school grades as a predictor led to predicted FGPAs that tended to exceed actual FGPAs, particularly for Latinos. Including SAT scores in the equation notably reduced prediction bias. Further analyses showed that, while HSGPA had the highest correlation with FGPA for most groups, SAT verbal score was the strongest predictor of FGPA for language minorities in 1998. An overriding conclusion is that combining data across language groups can obscure important test validity information.  相似文献   

5.
Postsecondary schools have traditionally relied on admissions tests such as the SAT and ACT to select students. With high school achievement assessments in place in many states, it is important to ascertain whether scores from those exams can either supplement or supplant conventional admissions tests. In this study we examined whether the Arizona Instrument to Measure Standards (AIMS) high school tests could serve as a useful predictor of college performance. Stepwise regression analyses with a predetermined order of variable entry revealed that AIMS generally did not account for additional performance variation when added to high school grade-point average (HSGPA) and SAT. However, in a cohort of students that took the test for graduation purposes, AIMS did account for about the same proportion of variance as SAT when added to a model that included HSGPA. The predictive value of both SAT and AIMS was generally the same for Caucasian, Hispanic, and Asian American students. The ramifications of universities using high school achievement exams as predictors of college success, in addition to or in lieu of traditional measures, are discussed.  相似文献   

6.
Extensive research has examined the validity and fairness of standardized tests in academic admissions. However, due to their underrepresentation in higher education, American Indians have gained much less attention in this research. In the present study, we examined for American Indian students (1) group differences on SAT scores, (2) the predictive and incremental validity of SAT over high school grades, (3) the effect of socioeconomic status on SAT validity, (4) differential prediction in the use of SAT scores, and (5) potential omitted variables that could explain differential prediction for American Indian students. Results provided evidence of predictive and incremental validity of SAT scores, and the validity of SAT scores was largely independent of socioeconomic status. Overprediction was found when using SAT scores to predict college performance and it was reduced when including high school grades as an additional predictor. This study provides substantial evidence of the validity and fairness of SAT scores for American Indians.  相似文献   

7.
We examined summary indices of high school performance (coursework, grades, and test scores) based on the graded response model (GRM). The indices varied by inclusion of ACT test scores and whether high school courses were constrained to have the same difficulty and discrimination across groups of schools. The indices were examined with respect to skewness, incremental prediction of college degree attainment, and differences across racial/ethnic and socioeconomic subgroups. The most difficult high school courses to earn an “A” grade included calculus, chemistry, trigonometry, other advanced math, physics, algebra 2, and geometry. The GRM‐based indices were less skewed than simple high school grade point average (HSGPA) and had higher correlations with ACT Composite score. The index that included ACT test scores and allowed item parameters to vary by school group was most predictive of college degree attainment, but had larger subgroup differences. Implications for implementing multiple measure models for college readiness are discussed.  相似文献   

8.
The prevalence of homeschooling in the United States is increasing. Yet little is known about how commonly used predictors of postsecondary academic performance (SAT, high school grade point average [HSGPA]) perform for homeschooled students. Postsecondary performance at 140 colleges and universities was analyzed comparing a sample of traditional students matched to a sample of 732 homeschooled students on four demographic variables, HSGPA, and SAT scores. The matched sample was drawn from 824,940 traditional students attending the same institutions as the homeschooled students, which permitted a very precise level of matching. This comparison did not show a difference in first‐year college GPA (FGPA) or retention between homeschooled and traditional students. SAT scores predicted FGPA and retention equally well for both groups, but HSGPA was a weaker predictor for the homeschooled group. These results suggest that, among college students, those who were homeschooled perform similarly to traditionally educated students matched on demographics and academic preparedness, but there are practical implications for college admissions in the use of HSGPA versus standardized test scores for homeschooled students.  相似文献   

9.
College students commonly have considerable course choice, and they can differ substantially in the proportion of their coursework taken at an advanced level. While advanced coursework is generally viewed as a desirable component of a student's education, research has rarely explored differences in student course‐taking patterns as a measure of academic success in college. We examined the relationship between the SAT, high school grade point average (HSGPA), and the amount of advanced coursework taken in a sample of 62 colleges and 188,985 students. We found that both the SAT and HSGPA predict enrollment in advanced courses, even after controlling for advanced placement (AP) credits and demographic variables. The SAT subtests of Critical Reading, Writing, and Math displayed differential relationships with advanced course‐taking dependent on student major. Gender and race/ethnicity were also related to advanced course‐taking, with women taking more advanced courses in all major categories except for science, technology, engineering, and mathematics (STEM) where they took fewer, even after controlling for other variables. Socioeconomic status had a negligible relationship with advanced course‐taking. This research broadens our understanding of academic achievement in college and the goals of admissions in higher education.  相似文献   

10.
The literature on differential prediction of college performance of racial/ethnic minority students for standardized tests and high school grades indicates the use of these predictors often results in overprediction of minority student performance. However, these studies typically involve native English‐speaking students. In contrast, a smaller literature on language proficiency suggests academic performance of those with more limited English language proficiency may be underpredicted by standardized tests. These two literatures have not been well integrated, despite the fact that a number of racial/ethnic minority groups within the United States contain recent immigrant populations or heritage language speakers. This study investigates the joint role of race/ethnicity and language proficiency in Hispanic, Asian, and White ethnic groups across three educational admissions systems (SAT, HSGPA, and their composite) in predicting freshman grades. Our results indicate that language may differentially affect academic outcomes for different racial/ethnic subgroups. The SAT loses predictive power for Asian and White students who speak another best language, whereas it does not for Hispanic students who speak another best language. The differential prediction of college grades of linguistic minorities within racial/ethnic minority subgroups appears to be driven by the verbally loaded subtests of standardized tests but is largely unrelated to quantitative tests.  相似文献   

11.
The primary purpose of the study is to assess the degree to which SAT scores, high-school GPA (HSGPA) and class rank predict success in college. Data collected from students enrolled in several sections of Principles of Economics at the University of South Carolina in 2000 and 2001 are used to study the relation between college GPA (the dependent variable) and high-school rank, HSGPA, and SAT scores (the key independent variables). We also investigate whether there are race–sex differences in the likelihood of success in college. Further, we study the degree to which students with varying backgrounds are likely to be eligible for statewide scholarships and to retain them after enrollment.  相似文献   

12.
We derived an index of high school academic rigor (HSAR) by optimizing the prediction of first‐year college GPA (FYGPA) based on high school courses taken, grades, and indicators of advanced coursework. Using a large data set and nominal parameterization of high school course outcomes, the HSAR index capitalizes on differential contributions across courses and nonlinear relationships between course grades and FYGPA. Test scores from eighth grade were incorporated in the model to isolate the contribution of HSAR. High school courses with the largest relationships with FYGPA were English 11, English 12, Chemistry, English 10, Calculus, and Algebra 2. Participation in Advanced Placement, accelerated, or honors courses increased HSAR. The correlation of the HSAR index and FYGPA was .52 and the HSAR index led to modest improvement in overall prediction when combined with high school GPA and ACT Composite score. HSAR index subgroup differences were smaller than subgroup differences in ACT Composite score. Implications for high school counselors, researchers, and postsecondary student service personnel are discussed.  相似文献   

13.
In studies of the SAT, correlations of SAT scores, high school grades, and socioeconomic factors (SES) are usually obtained using a university as the unit of analysis. This approach obscures an important structural aspect of the data: The high school grades received by a given institution come from a large number of high schools, all of which have potentially different grading standards. SAT scores, on the other hand, can be assumed to have the same meaning across high schools. Our analyses of a large national sample show that, when pooled within-high-school analyses are applied, high school grades and class rank have larger correlations with family income and education than is evident in the results of typical analyses, and SAT scores have smaller associations with socioeconomic factors. SAT scores and high school grades, therefore, have more similar associations with SES than they do when only the usual across-high-school correlations are considered .  相似文献   

14.
《教育实用测度》2013,26(2):143-159
The present study examined the impact of participation rate and nine other educational and demographic variables on state mean scores for the Scholastic Aptitude Test (SAT). Participation rate, defined as the percentage of a state's high school seniors taking the SAT represented by the z-score mean of a truncated normal distribution, was the most important single predictor of state mean SAT score, accounting for 77% of the total variance in mean scores. The inclusion of significant educational and demographic variables raised the proportion of variance explained to 94%. The fallacy of comparing the mean standardized test scores of different locations or time periods without taking participation rate into account is discussed.  相似文献   

15.
The reliability of a method of adjusting grade point averages for differences in departmental grading standards was examined, as were the effects of such adjustments on the predictive validity of high school grades, SAT scores, and achievement test scores. The index of differential grading standards for all on-time graduates of the Dartmouth College class of 1986 was quite reliable, and its use in adjusting grade averages increased predictive validity, reduced its erosion over years, reduced the apparent underprediction of women, and improved predictions for blacks. Differential group enrollment in courses in the science division seems to account for much of the effect of adjustment on grades. Improvement in the reliability of the criterial grade averages also was shown to have similar effects on gender and race prediction in another data set  相似文献   

16.
Regressing adjusted grade-point averages on freshman SAT scores and high school grade-point averages results in large increases in the incremental predictive validity of the SAT. Even so, the SAT still changes no more than a small proportion of admissions decisions and does not result in substantively important increases in freshman grades. The test does, however, change the composition of the freshman class by altering acceptances to some major areas of study and by limiting the access of women and blacks.  相似文献   

17.
Previous research notes the importance of understanding racial/ethnic differential prediction of college grades across multiple institutions. Institutional variation in selection indices is especially important given some states' laws governing public institutions' admissions decisions. This paper employed multilevel moderated multiple regression to study the variation of selection indices across 30 institutions and the accuracy of selection indices in predicting college grades for students of different racial/ethnic backgrounds. Several benefits of multilevel models for cross-institutional differential prediction studies were described and include: controlling for institutional differences in range restriction, providing reliability estimates of least squares estimates, and adjusting criterion scores for differences in coursework difficulty. The findings from this study provide evidence of institutional variation in selection indices, which challenges current laws aimed at standardizing them. Specifically, there was evidence that the predictor slope coefficients varied across institutions, in addition to the estimates that measured intercept differences for African and Asian American students. Across universities, the results mirrored previous findings: high school grade point average (GPA) differentially predicted grades for African Americans, SAT verbal scores differentially predict grades for Asian Americans, and SAT math scores were better predictors of Asian Americans' grades.  相似文献   

18.
Previous research has demonstrated that cognitive test validities are generalizable and predictive of academic performance across situations. However, even after accounting for statistical artifacts (e.g., sampling error, range restriction, criterion reliability), substantial variability often remains around estimates of cognitive test–performance relationships suggesting the presence of additional moderators. In the present study, we examine the sources of institutional variation in Scholastic Aptitude Test (SAT) validity across a sample of 110 institutions. Institutional characteristics moderated the size of SAT validities, such that more selective schools and schools that emphasize traditional assessment techniques (i.e., school records, standardized tests) showed higher SAT validities while schools that were larger and where students demonstrated more financial need, schools that emphasized the usage of alternative assessment techniques (i.e., essays, letters of recommendations, extracurricular activities), and schools that enrolled higher percentages of historically disadvantaged minority students generally exhibited lower SAT validities. Future directions in the understanding of situational influences on SAT–grade point average validities are discussed.  相似文献   

19.
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.  相似文献   

20.
Data from college admissions tests can provide a valuable measure of student achievement, but the non-representativeness of test-takers is an important concern. We examine selectivity bias in both state-level and school-level SAT and ACT averages. The degree of selectivity may differ importantly across and within schools, and across and within states. To identify within-state selectivity, we use a control function approach that conditions on scores from a representative test. Estimates indicate strong selectivity of test-takers in “ACT states,” where most college-bound students take the ACT, and much less selectivity in SAT states. To identify within- and between-school selectivity, we take advantage of a policy reform in Illinois that made taking the ACT a graduation requirement. Estimates based on this policy change indicate substantial positive selection into test participation both across and within schools. Despite this, school-level averages of observed scores are extremely highly correlated with average latent scores, as across-school variation in sample selectivity is small relative to the underlying signal. As a result, in most contexts the use of observed school mean test scores in place of latent means understates the degree of between-school variation in achievement but is otherwise unlikely to lead to misleading conclusions.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号