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Tatum, Jerry L.; Foubert, John D. – Journal of College Student Development, 2009
Male perpetrated sexual aggression has long been recognized as a serious problem on college campuses. The purpose of this multiple regression correlation study was to assess the relationship between levels of moral development (measured by the Defining Issues Test) and the degree to which first-year college men (N = 161) ascribed to rape…
Descriptors: Campuses, Rape, Misconceptions, Multiple Regression Analysis
Spicer, Scot L. – 1989
In this document, the first of a projected series of reports on ensuring student success, student equity, and rigorous instructional standards, an overview is provided of the steps taken by Glendale Community College (GCC) to refine and improve student placement in the English curriculum. Following introductory material outlining factors…
Descriptors: Academic Standards, College English, Community Colleges, Correlation
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Peer reviewedKnight, Stephanie L.; Waxman, Hersholt C. – Journal of Social Studies Research, 1990
Investigates the relationship between social studies classroom environment and student motivation. Correlates several environmental variables with three motivational constructs (academic motivation, academic self-concept, and social self-concept) among 157 sixth grade, predominantly Hispanic students. Finds student satisfaction significantly…
Descriptors: Academic Achievement, Classroom Environment, Classroom Research, Correlation
Peer reviewedMaeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics

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