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Showing 1 to 15 of 33 results Save | Export
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Niessen, A. Susan M.; Meijer, Rob R.; Tendeiro, Jorge N. – Educational Measurement: Issues and Practice, 2019
A longstanding concern about admissions to higher education is the underprediction of female academic performance by admission test scores. One explanation for these findings is selection system bias, that is, not all relevant KSAOs that are related to academic performance and gender are included in the prediction model. One solution to this…
Descriptors: College Admission, High Stakes Tests, Gender Differences, Sampling
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Allen, Jeff; Mattern, Krista – Educational Measurement: Issues and Practice, 2019
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…
Descriptors: High School Students, Academic Achievement, Secondary School Curriculum, Difficulty Level
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Shewach, Oren R.; McNeal, Kyle D.; Kuncel, Nathan R.; Sackett, Paul R. – Educational Measurement: Issues and Practice, 2019
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…
Descriptors: Advanced Courses, Course Selection (Students), Cognitive Ability, Grade Point Average
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Meijer, Eline; Cleiren, Marc P. H. D.; Dusseldorp, Elise; Buurman, Vincent J. C.; Hogervorst, Roel M.; Heiser, Willem J. – Educational Measurement: Issues and Practice, 2019
Early prediction of academic performance is important for student support. The authors explored, in a multivariate approach, whether pre-entry data (e.g., high school study results, preparative activities, expectations, capabilities, motivation, and attitude) could predict university students' first-year academic performance. Preregistered…
Descriptors: Academic Achievement, College Freshmen, Prediction, Risk
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Allen, Jeff; Mattern, Krista; Ndum, Edwin – Educational Measurement: Issues and Practice, 2019
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…
Descriptors: High Schools, Difficulty Level, Prediction, Grade Point Average
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Koretz, D.; Langi, M. – Educational Measurement: Issues and Practice, 2018
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…
Descriptors: Prediction, High School Students, Grade Point Average, Scores
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Mattern, Krista; Radunzel, Justine; Bertling, Maria; Ho, Andrew D. – Educational Measurement: Issues and Practice, 2018
The percentage of students retaking college admissions tests is rising. Researchers and college admissions offices currently use a variety of methods for summarizing these multiple scores. Testing organizations such as ACT and the College Board, interested in validity evidence like correlations with first-year grade point average (FYGPA), often…
Descriptors: College Admission, Scores, Correlation, College Entrance Examinations
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Yocarini, Iris E.; Bouwmeester, Samantha; Smeets, Guus; Arends, Lidia R. – Educational Measurement: Issues and Practice, 2018
This real-data-guided simulation study systematically evaluated the decision accuracy of complex decision rules combining multiple tests within different realistic curricula. Specifically, complex decision rules combining conjunctive aspects and compensatory aspects were evaluated. A conjunctive aspect requires a minimum level of performance,…
Descriptors: Comparative Analysis, Decision Making, Accuracy, Higher Education
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Liu, Ou Lydia – Educational Measurement: Issues and Practice, 2017
Student learning outcomes assessment has been increasingly used in U.S. higher education institutions over the last 10 years, partly fueled by the recommendation from the Spellings Commission that institutions need to demonstrate more direct evidence of student learning. To respond to the Commission's call, various accountability initiatives have…
Descriptors: College Outcomes Assessment, Accountability, Higher Education, Educational Improvement
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Shu, Siwen; Kuncel, Nathan R.; Sackett, Paul R. – Educational Measurement: Issues and Practice, 2017
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…
Descriptors: American Indian Students, College Admission, College Entrance Examinations, Academic Achievement
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Kostal, Jack W.; Sackett, Paul R.; Kuncel, Nathan R.; Walmsley, Philip T.; Stemig, Melissa S. – Educational Measurement: Issues and Practice, 2017
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…
Descriptors: College Entrance Examinations, Scaling, Grade Point Average, Differences
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Mattern, Krista; Sanchez, Edgar; Ndum, Edwin – Educational Measurement: Issues and Practice, 2017
In the context of college admissions, the current study examined whether differential prediction of first-year grade point average (FYGPA) by gender could be explained by an omitted variable problem--namely, academic discipline, or the amount of effort a student puts into schoolwork and the degree to which a student sees him/herself as hardworking…
Descriptors: Females, Academic Achievement, Predictive Validity, Grade Point Average
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Lane, David; Oswald, Frederick L. – Educational Measurement: Issues and Practice, 2016
The educational literature, the popular press, and educated laypeople have all echoed a conclusion from the book "Academically Adrift" by Richard Arum and Josipa Roksa (which has now become received wisdom), namely, that 45% of college students showed no significant gains in critical thinking skills. Similar results were reported by…
Descriptors: College Students, Critical Thinking, Thinking Skills, Statistical Analysis
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Clauser, Amanda L.; Wainer, Howard – Educational Measurement: Issues and Practice, 2016
It is widely accepted dogma that consequential decisions are better made with multiple measures, because using but a single one is thought more likely to be laden with biases and errors that can be better controlled with a wider source of evidence for making judgments. Unfortunately, advocates of using multiple measures too rarely provide detailed…
Descriptors: Tests, Examiners, College Entrance Examinations, Measurement
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Kostal, Jack W.; Kuncel, Nathan R.; Sackett, Paul R. – Educational Measurement: Issues and Practice, 2016
Grade inflation threatens the integrity of college grades as indicators of academic achievement. In this study, we contribute to the literature on grade inflation by providing the first estimate of the size of grade increases at the student level between the mid-1990s and mid-2000s. By controlling for student characteristics and course-taking…
Descriptors: Grade Inflation, Grades (Scholastic), Achievement Gains, Achievement Rating
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