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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
Clark, Melissa; Rothstein, Jesse; Schanzenbach, Diane Whitmore – National Bureau of Economic Research, 2008
Data from college admissions tests can provide a valuable measure of student achievement, but the non-representativeness of test-takers is an important concern. We examine selectivity bias in both state-level and school-level SAT and ACT averages. The degree of selectivity may differ importantly across and within schools, and across and within…
Descriptors: Graduation Requirements, College Entrance Examinations, College Admission, Selective Admission
Peer reviewed
Download full textNational Center for Education Evaluation and Regional Assistance, 2009
The No Child Left Behind (NCLB) Act provides support "to ensure that teachers have the necessary subject matter knowledge and teaching skills in the academic subjects that the teachers teach." Title II of the act allows funds to be used for "carrying out programs that establish, expand, or improve alternative routes for state…
Descriptors: Teacher Characteristics, Federal Legislation, Academic Achievement, Teaching Skills
