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Rocconi, Louis M. – Association for Institutional Research (NJ1), 2011
Hierarchical linear models (HLM) solve the problems associated with the unit of analysis problem such as misestimated standard errors, heterogeneity of regression and aggregation bias by modeling all levels of interest simultaneously. Hierarchical linear modeling resolves the problem of misestimated standard errors by incorporating a unique random…
Descriptors: Regression (Statistics), Models, Least Squares Statistics, Data Analysis
Zhang, Xiao Ying; Zhang, Ji-hong – Association for Institutional Research (NJ1), 2010
To encourage college students to stay enrolled and to graduate remains a challenge for educators and educational policymakers. There are basically two lines of actions in addressing the issue of student persistence. One is directed towards eliminating or reducing the risk factors such as poor student services and hostile learning environment;…
Descriptors: Student Attitudes, Academic Persistence, Graduation, Risk
Porter, Stephen R. – Association for Institutional Research (NJ1), 2010
Within the field of higher education, the majority of quantitative research focuses on college students. Given the limitations of institutional databases, surveys of college students have become one of the largest and most frequently used data sources. In addition, surveys of college students play an increasingly important role in evaluating…
Descriptors: Higher Education, College Students, Student Behavior, Student Evaluation
Gordon, Jonathan; Ludlum, Joe; Hoey, J. Joseph – Online Submission, 2006
While there exist many examples of institutional use of the results of the National Survey of Student Engagement (NSSE), there is a relative paucity of research explicitly linking student outcomes to responses on the survey. A major Doctoral-Extensive institution in the Southeast recently conducted a large-scale implementation of the National…
Descriptors: Grade Point Average, Graduate Study, Student Attitudes, National Surveys
Ryan, John F. – Online Submission, 2005
Although recent results from the National Survey of Student Engagement (NSSE) suggest there is considerable variation in levels of undergraduate student engagement within Carnegie institutional classifications, research also suggests different classifications of institutions exhibit different types (Pike and Kuh, 2005) and levels (Pike, Kuh and…
Descriptors: Undergraduate Study, Undergraduate Students, College Freshmen, College Seniors