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 31 毫秒
1.
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   

2.
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 students each of whom matriculated at one of 114 separate colleges, the researchers find that awarding SAT scores by ranking SAT within a high school generally results in substantial reduction in the size of subgroup mean differences for this predictor. However, validity for predicting first‐year GPA is also reduced by a small amount. Conversely, placing HSGPA onto a nationally normed metric through the use of multiple regression procedures results in a moderate increase in the size of subgroup mean differences, while also producing a small increase in validity. Taken together, these findings suggest that differences in predictor scaling can partially explain differences in the size of subgroup mean differences between HSGPA and SAT scores and have implications for predictive power.  相似文献   

3.
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   

4.
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   

5.
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   

6.
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   

7.
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   

8.
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   

9.
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   

10.
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   

11.
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   

12.
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   

13.
As a first step in developing a model of academic dismissal, logistic regression was employed to analyze predictors of academic performance (academic dismissal versus satisfactory performance) for first-time freshmen after one semester in an eastern state university. The analyses for each of two entry years produced very similar results. The analyses indicated that academic performance was highly related to high school academic grade point average (gpa). After controlling for SAT Verbal and SAT Math scores and high school academic gpa, race and the academic grouping of the student's major were significantly related to academic performance. However, for students of a given race and in a given academic grouping with the same SAT Verbal scores, the same SAT Math scores, and the same high school academic gpas, there was no significant difference in the predicted probability of academic dismissal for (1) men and women students, (2) dormitory and commuter students, and (3) full-time and part-time students.  相似文献   

14.
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   

15.
This study investigated aptitude, achievement, and retention patterns among 273 women and 1,953 male students who entered engineering at The University of Texas at Austin as freshmen in the fall semesters of 1974–1977. Academic and attrition records were maintained through the fall of 1978 for the sample. Multiple regression techniques were used to predict both academic achievement and retention on the basis of college entrance scores and high school rank. In addition, first-year grade-point average was included as a predictor of retention. The Mathematics Achievement Test, Level I, emerged as primary predictor of cumulative grade-point average for both men and women, and first year grade-point average the best single predictor of retention for men, but combined with entrance scores for retention prediction among women. Academic performance was more easily predicted for women than men, but retention was more easily predicted for men. Female nonretainees in engineering score higher on all variables than male nonretainees, and female retainees make similar grades to male retainees. More capable women than men are transferring to other majors within the University, especially to the natural sciences. Unlike men, women leaving engineering and the University did not do so for academic failure. This study suggests that a support system developed to counsel women in engineering might contribute positively to their retention.  相似文献   

16.
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   

17.
This is an investigation of the relationships and differences among selected personality, demographic, and intellective variables in a sample of 267 Morehead Scholars, at the University of North Carolina at Chapel Hill, from the classes of 1965 through 1970 to determine the feasibility and practicality of their use as predictors and criteria of academic and nonacademic achievements. Analysis of variance was used to determine the differences among the various groups. Stepwise regression analysis was used to determine the association among the variables and to select the most efficient predictors of academic and nonacademic criteria.

There was a significant relationship between high school nonacademic achievements and (a) Opinion, Attitude, and Interest Survey (OAIS) scores, (b) high school rank in class and (c) Scholastic Aptitude Test (SAT) scores. High school nonacademic achievements and selected OAIS scales, when combined with SAT scores and high school rank in class, increase the efficiency of predicting subsequent college grade point average (GPA). The addition of high school nonacademic achievements to SAT scores increased the efficiency of predicting freshman and senior cumulative GPA for all groups. The OAIS scales, freshman GPA, and high school nonacademic achievements can be used to predict college nonacademic achievements.  相似文献   

18.
Using data from a sample of 10 colleges at which most students had taken both SAT I: Reasoning tests and SAT II: Subject tests, we simulated the effects of making selection decisions using SAT II scores in place of SAT I scores. Specifically, we treated the students in each college as forming the applicant pool for a more select college, and then selected the top two thirds (and top one third) of the students using high school grade point average combined with either SAT I scores or the average of SAT II scores. Success rates, in terms of first-year grade point averages, were virtually identical for students selected by the different models. The percentage of African American, Asian American, and White students selected varied only slightly across models. Appreciably more Mexican American and Other Latino students were selected with the model that used SAT II scores in place of SAT I scores because these students submitted subject test scores for the Spanish test on which they had high scores.  相似文献   

19.
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   

20.
In school effectiveness research differences between schools are mainly expressed in percentages of the variance in cognitive test scores. This article focuses on the impact these differences in effectiveness have on the school career of pupils. The analyses were executed on the data of a school effectiveness study carried out in 1987 and 1988. Two groups of outlier primary schools were selected. The pupils were divided into four categories based on their IQ-score, and into four categories based on their SES-score. Four dependent variables were used: test scores on language, test scores on mathematics, expectations for the follow-up secondary school type based on these test scores, and the actual secondary school recommendation given by the teacher. For all groups of pupils the average scores on mathematics, language and the total standard test score differ significantly for both low- and high-effective schools. The actual recommendation for type of secondary education does not differ significantly. This leads to the conclusion that the recommendations given to the other pupils in the same grade seem to be important; schools tend to recommend a secondary school type according to a normal distribution. High-effective schools tend to recommend beneath, while low-effective schools tend to advise above the expectations.  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