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Autor/inn/enSawyer, Richard L.; Maxey, James
TitelThe Validity of College Grade Prediction Equations Over Time.
Quelle(1978), (19 Seiten)Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; Monographie
SchlagwörterTagungsbericht; Academic Ability; College Admission; College Bound Students; College Freshmen; Grade Point Average; Grade Prediction; Grades (Scholastic); Higher Education; Institutional Research; Measurement Techniques; Post High School Guidance; Predictive Measurement; Predictive Validity; Research Projects; Scoring Formulas; Standardized Tests; Student Evaluation; Test Interpretation
AbstractA sample of 260 colleges was surveyed during the years 1972-1976 to determine the validity of predicting college freshmen grades from standardized test scores and high school grades using the American College Testing (ACT) Assessment Program, an evaluative and placement service for students and educators involved in the transition from high school to college. The ACT Assessment consists of four academic tests, self-reported high school grades, the Student Profile Section (SPS), and the ACT Interest Inventory. The academic tests cover the traditional subject areas of English, mathematics, social studies, and natural sciences. A composite score is tallied from these tests and this score is considered a measure of overall academic ability. The SPS provides information on student's background, extracurricular accomplishments, special academic needs, housing plans, financial need, planned major, and career plans. The Interest Inventory measures preferences for job-related activities in six categories: science, creative arts, social service, business contact, business detail, and technical skills. ACT offers two plans to colleges for predicting freshmen grades: (1) the Basic Research Service will predict grades for specific courses and subgroups of students, and can utilize data other than ACT test scores. The quality of grade predictions in this study was stable over the four-year period. Freshmen grade point averages appear to be predictable using equations as old as four years. To increase the accuracy of the predictions it is possible for colleges with small student populations to pool data from two or more years when developing prediction equations. (BH)
Erfasst vonERIC (Education Resources Information Center), Washington, DC
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