The second year of college can be as important as the first year but far fewer studies have been conducted on second-year students. About 12% of students leave California State University - Fresno during or after their second year. In this report, we examined second year students to find the differences between those who graduate and those who…

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…

This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…

The Scholastic Aptitude Test (SAT) was used to predict the major field choices of students at four large universities. Results strongly suggested that (a) mathematical ability is an important determinant of major field choice, and (b) the male-female difference in major field choice is largely mediated by the sex difference in mathematical…

Assesses the effectiveness of a factored biographical inventory in predicting freshman GPAs, and suggests that biodata be considered in college selection. (Author/JN)

The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…

The Scholastic Aptitude Test (SAT) is shown to be a better predictor of first semester college grade point average than the American College Test (ACT) at a highly selective midwestern university. (JKS)

The object of this study was to find out whether learning process and reading variables predict first-year grade point average (GPA) in college. The learning process variables were: (1) deep learning; (2) surface learning; and (3) achievement orientation. Reading variables dealt with factual and inferential knowledge. Also examined was whether…

This is an empirical study of selected learner characteristics and their relation to academic success, as indicated by course grades, in a structured independent study learning program. This program, called the Audio-Tutorial System, was utilized in an undergraduate college course in the biological sciences. By use of multiple regression analysis,…

A visual display is introduced that enables one to compare the predictive validities of all possible non-negatively weighted sums of two predictors. This two-predictor validity curve assesses the level of predictability of a criterion from composites of two predictors. Derivations are presented for the general case. For illustrative purposes, the…

A classification rule was developed to predict undergraduate students' withdrawal from or completion of fully online general education courses. A multivariate technique, predictive discriminant analysis (PDA), was used. High school grade point average and SAT mathematics score were shown to be related to retention in the online university courses.…

This study examined the statistical and institutional influences on the prediction of first-year college grades. The sources of information were the Validity Study Services file which summarizes the results of College Board validity studies and the College Handbook file which includes data about college characteristics. The criterion was the size…

Entrance requirements and a weeding process conducted by way of a pre-engineering mathematics program act as a restriction on the number of students graduating with engineering degrees. This study examined the relationship between entrance requirements and the degree of student success upon graduation, as well as the validity of the weeding effect…

The effectiveness of the freshman admissions prediction equation (FAPE) at the University of Georgia (Athens) was studied, using data for 3,378 freshman (1,490 males and 1,888 females) in 1987-88. For the 1987-88 data, a previous (1982) prediction equation functioned poorly in terms of predictive accuracy. New prediction models were constructed…

This study was an examination of the usefulness of a statistical regression approach to identify prospective Engineering and Information and Computer Science (ICS) applicants most likely to succeed at the University of California at Irvine (UCI). The specific purpose was to determine the extent to which preadmissions measures such as high school…