Data from two studies in which subjects were classified as successful or unsuccessful were analyzed using neural net technology after being analyzed with a linear regression function. Data were obtained from admission records of 201 students admitted to undergraduate and 285 students admitted to graduate programs. Data included grade point…

This study investigated the efficacy of noncognitive variables and academic background for the prediction of college grade performance and persistence. A total of 7,377 new first-year college students participated in the study, completing demographic questionnaires at the start of the school year. Data were also collected on American College Test…

This study examined the relationship between demographic variables and academic misconduct (cheating) among undergraduate students at a mid-sized, four-year public university. A total of 422 students from 22 classes completed a 27-item self-report measure assessing their involvement in 17 types of academic misconduct. In addition, the measure…

A longitudinal study was undertaken in 1981 to examine the educational and career achievements of 81 individuals who graduated from an Illinois high school in 1981 either as a valedictorian, salutatorian, or top honors student. These individuals completed questionnaires and were given in-depth interviews. One pattern emerged from the data…

Entrance scores on the Mathematics Achievement Test, Level I, and Scholastic Aptitude Test (verbal and mathematical), and high school rank for 2,189 students entering engineering as freshmen at The University of Texas at Austin during the years 1974-1977 were used in regression equations as predictors of academic achievement and retention for…