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Regression Methods for Categorical Dependent Variables: Effects on a Model of Student College Choice
Rapp, 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
Hodsdon, Michelle Caron – ProQuest LLC, 2012
Narrative inquiry was used to trace the educational journeys of 11 first-generation university students from rural areas of Colorado in an effort to identify the experiences, beliefs, and people that impacted their decision to attend a 4-year institution. Students were asked to convey their experiences growing up within the contexts of their…
Descriptors: First Generation College Students, Rural Areas, Student Experience, Student Attitudes
Klug, Kathleen McMahon – ProQuest LLC, 2009
Exploring the views of rural high school students about college has significant implications for the question: "Why are Colorado's kids not choosing college in greater numbers?" Since the State of Colorado has one of the most highly educated adult populations in the nation, yet consistently underperforms in sending its high school…
Descriptors: College Choice, Standardized Tests, Student Attitudes, Rural Schools
Colorado Commission on Higher Education, 2004
The College Guide to Colorado's Public Higher Education Institutions presents a snapshot of important information to guide students in choosing a college or university that is right for them. It helps students compare significant information on all the schools and the communities in which they are located. This guide is a tool available to…
Descriptors: Higher Education, Career Choice, College Choice, College Preparation