NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sawyer, Richard – Applied Measurement in Education, 2013
Correlational evidence suggests that high school GPA is better than admission test scores in predicting first-year college GPA, although test scores have incremental predictive validity. The usefulness of a selection variable in making admission decisions depends in part on its predictive validity, but also on institutions' selectivity and…
Descriptors: High Schools, Grade Point Average, College Entrance Examinations, College Admission
Sawyer, Richard – ACT, Inc., 2010
Ample correlational evidence indicates that high school GPA is usually better than admission test scores in predicting first-year college GPA, although test scores have incremental predictive validity. Many people conclude that this correlational evidence translates directly to usefulness in making admission decisions. The issue of usefulness is…
Descriptors: Grade Point Average, Academic Achievement, Predictive Validity, Scores
Peer reviewed Peer reviewed
Sawyer, Richard – Journal of Educational Statistics, 1982
Rules are given for estimating accuracy of predictions based on a multiple regression equation. Formulas for moments of distribution and other parameters are noted. The approximate inflation in mean absolute error due to estimating the regression coefficients is a function of the base sample size and number of predictors. (DWH)
Descriptors: Colleges, Estimation (Mathematics), Multiple Regression Analysis, Predictive Validity
Peer reviewed Peer reviewed
Sawyer, Richard; Maxey, James – Journal of Educational Measurement, 1979
College freshmen's grade point averages at 260 colleges were predicted on the basis of multiple regression equations using the four previous classes separately to compute the equations. Predictor variables were four American College Test (ACT) scores and high school grades. Predictions remained accurate over the four-year period. (Author/CTM)
Descriptors: College Entrance Examinations, College Freshmen, Grade Prediction, Grades (Scholastic)
Sawyer, Richard – 1987
This report addresses the problem of sample size in developing prediction equations for college freshman grade averages under the American College Testing (ACT) Assessment Program. For the ACT Assessment, the prediction weights are estimated by standard least squares procedures. Because prediction weights are estimated regression coefficients…
Descriptors: College Entrance Examinations, College Freshmen, Grade Point Average, Grade Prediction
PDF pending restoration PDF pending restoration
Sawyer, Richard – 1985
Whether adjustments to differential prediction observed among sex, racial/ethnic, or age subgroups in a college-level freshman class could be used to improve grade prediction accuracy for these subgroups in future freshman classes was studied. This study is based on the American College Testing program test scores, high school grades, and college…
Descriptors: Age Groups, College Entrance Examinations, College Freshmen, Ethnic Groups
Sawyer, Richard; Maxey, E. James – 1979
The validity of prediction equations based on American College Testing (ACT) Program test scores and high school grades is investigated. Presented are separate results for prediction equations based on ACT scores only, on high school grades only, and on both kinds of prediction jointly. Also included is a discussion of the relationship between…
Descriptors: Academic Ability, College Bound Students, College Entrance Examinations, College Freshmen
Sawyer, Richard – 1989
An argument based on the content fit among a college course, the American College Testing Program (ACT) Assessment tests, and students' high school course work is described to justify use of ACT scores and self-reported high school grades for placement of college freshmen in undergraduate remedial education. A utility-based approach to quantifying…
Descriptors: College Entrance Examinations, College Freshmen, Content Validity, Cost Effectiveness