2011
DOI: 10.1080/10668926.2010.520245
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Using Student and Institutional Characteristics to Predict Graduation Rates at Community Colleges: New Developments in Performance Measures and Institutional Effectiveness

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Cited by 8 publications
(7 citation statements)
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“…In excess of 50 covariates were considered in the multivariable model-testing process. The vast majority of these covariates were selected based upon the theory-driven recommendations of other researchers (e.g., Andreu, 2002;Bini et al, 2009;Fike & Fike, 2008;Goble, Rosenbaum, & Stephan, 2008;Moosai et al, 2011). These included student-demographic, instructor-demographic, academicbackground, and class-section related variables.…”
Section: Summary Of Resultsmentioning
confidence: 99%
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“…In excess of 50 covariates were considered in the multivariable model-testing process. The vast majority of these covariates were selected based upon the theory-driven recommendations of other researchers (e.g., Andreu, 2002;Bini et al, 2009;Fike & Fike, 2008;Goble, Rosenbaum, & Stephan, 2008;Moosai et al, 2011). These included student-demographic, instructor-demographic, academicbackground, and class-section related variables.…”
Section: Summary Of Resultsmentioning
confidence: 99%
“…The work of Moosai et al (2011) provide some valuable insights into these timespan and sample-size issues. In their study of student and institutional predictors of community college graduation rates at 142 community colleges in three states, they attested to the erratic nature of community college students' enrollment patterns; most notably, part-time students, who encompass the majority of community college enrollment (p. 813).…”
Section: Some Unanticipated Longitudinal Limitationsmentioning
confidence: 99%
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