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Ryan, Barbara E., Ed. – Higher Education Center for Alcohol and Other Drug Abuse and Violence Prevention, 2009
"Catalyst" is a publication of the U.S. Department of Education's Higher Education Center for Alcohol and Other Drug Abuse and Violence Prevention. This issue contains the following articles: (1) Campus and Community Coalitions--Getting Organized for Prevention; (2) Message From William Modzeleski, OSDFS Acting Assistant Deputy…
Descriptors: Alcohol Abuse, Drug Abuse, Violence, Prevention
Knight, William E. – Association for Institutional Research (NJ1), 2009
As more students enroll at community colleges, questions are raised about whether learning is the same in the two- and four-year sectors, both overall and for sub-groups, and whether effects of student backgrounds and college experiences on learning are similar. This study used structural equation modeling with CCSSE and NSSE data from a sample…
Descriptors: Structural Equation Models, Academic Persistence, College Attendance, College Transfer Students
Chen, Chau-Kuang – Association for Institutional Research (NJ1), 2008
Enrollment forecasting is the central component of effective budget and program planning. The integrated enrollment forecast model is developed to achieve a better understanding of the variables affecting student enrollment and, ultimately, to perform accurate forecasts. The transfer function model of the autoregressive integrated moving average…
Descriptors: High School Graduates, Prediction, Regression (Statistics), Program Development
Chen, Chau-Kuang – Association for Institutional Research (NJ1), 2005
Logistic and Cox regression methods are practical tools used to model the relationships between certain student learning outcomes and their relevant explanatory variables. The logistic regression model fits an S-shaped curve into a binary outcome with data points of zero and one. The Cox regression model allows investigators to study the duration…
Descriptors: Correlation, Licensing Examinations (Professions), Risk, Regression (Statistics)