Academic dishonesty (cheating) has been prevalent on college campuses for decades, and the percentage of students reporting cheating varies by college major. This study, based on a survey of 643 undergraduate engineering majors at 11 institutions, used two parallel hierarchical multiple regression analyses to predict the frequency of cheating on…

To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The…

All teacher evaluation forms completed in the arts and sciences division of a large community college were analyzed. Multiple regression was used to predict teacher rating. Items relating to teacher characteristics as perceived by the students (e.g., "tries to help students understand," etc.) had a consistant impact on rating. (Author/MLW)

Students in a large lecture course were asked to complete the Notetaking Perceptions Survey, an instrument that assesses students' perceptions of the worth or value of notetaking, their perceived level of notetaking activity, and their degree of confidence about their own notetaking skill. (Author/MLW)

This study employed multiple linear regression and decision tree analysis to examine the correlates of overall satisfaction with undergraduate education for white, Asian American, Latino and African American seniors enrolled at 17 doctoral/research universities. Satisfaction with the overall quality of instruction and social involvement were the…