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ERIC Number: EJ765669
Record Type: Journal
Publication Date: 2005
Pages: 18
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0013-1172
EISSN: N/A
Middle School Variables that Predict College Attendance for First-Generation Students
Bui, Khanh Van T.
Education, v126 n2 p203-220 Win 2005
Using data from the National Education Longitudinal Study, this report examines eighth grade school variables that might predict college attendance for students whose parents have no college education (n = 2,521). The selected school variables are amenable to public policy and/or skilled leadership, and they include "school structure" (e.g., number of school days in an academic year), "student statistics" (e.g., attendance rate), "atmosphere" (e.g., seriousness of student problems), "academic offerings" (e.g., required year-long courses for core subjects), and "teacher statistics" (e.g., level of absenteeism). Controlling for students' sociodemographic characteristics and past academic achievement, multivariate logistic regressions show that higher teacher absenteeism in eighth grade lowers the odds of attending college for potential first-generation students. (Contains 4 tables.)
Project Innovation, Inc. P.O. Box 8508 Spring Hill Station, Mobile, AL 36689-0508. Tel: 251-343-1878; Fax: 251-343-1878; Web site: http://www.projectinnovation.biz/education.html
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A