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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
Noble, Julie; Sawyer, Richard – ACT, Inc., 2013
There is a growing view that students who enroll in developmental courses are less successful in completing their programs than non-developmental students. Nevertheless, even though developmental students as a group ultimately might not be as academically successful as non-developmental students, many of them might still derive benefit from taking…
Descriptors: College Students, Developmental Studies Programs, Enrollment, Scores
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
Noble, Julie; Sawyer, Richard – 2002
This study compared the cross-validated accuracy of American College Test (ACT) Composite score and high school grade point average (GPA) (HSAV) for predicting different levels of first-year college GPA. Logistic regression models were developed by institution, for predicting GPA levels of 2.00, 2.50, 3.00, 3.25, 3.50, and 3.75 or higher. These…
Descriptors: Academic Achievement, College Entrance Examinations, College Students, Grade Point Average
Noble, Julie; Sawyer, Richard – 2002
This study compared the effectiveness of American College Testing (ACT) Composite score and high school grade point average (GPA) for predicting different levels of first-year college GPA. Logistic regression models were estimated for predicting first-year GPA levels ranging from 2.00 to 3.75 for a sample of postsecondary institutions. The…
Descriptors: Academic Achievement, College Entrance Examinations, College Freshmen, Estimation (Mathematics)