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Regression Methods for Categorical Dependent Variables: Effects on a Model of Student College Choice
Direct linkRapp, Kelly E. – ProQuest LLC, 2012
The use of categorical dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, educational attainment) are…
Descriptors: Regression (Statistics), College Choice, High School Seniors, Statistical Analysis
Download full textKim, YoungKoung Rachel – College Board, 2009
Presented at the national conference for AERA (American Educational Research Association) in April 2009. The large variability of SAT taker population across states makes state-by-state comparisons of the SAT scores challenging. Using a mixture modeling approach, therefore, the current study presents a method of identifying subpopulations in terms…
Descriptors: Conference Papers, Scores, Comparative Analysis, College Entrance Examinations
