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Autor/inn/enChen, Jin; Zerquera, Desiree
TitelLeaving or Staying Home: Predicting Where Students Attend College
QuelleIn: Education and Urban Society, 50 (2018) 4, S.376-399 (24 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1245
DOI10.1177/0013124517713245
SchlagwörterHigh School Students; College Choice; Regression (Statistics); Enrollment; Proximity; Decision Making; Individual Characteristics; Social Influences; Context Effect; Costs; Grade 9; State Surveys; Academic Aspiration; Student Records; Statistical Analysis; Correlation; Gender Differences; Racial Differences; Grade Point Average; College Entrance Examinations; SAT (College Admission Test); ACT Assessment
AbstractFocusing on a cohort of high school students from a Midwest metropolitan region, this study combines multiple sources of data and uses a multinomial logistic regression to model student postsecondary choices with respect to whether and where to attend college. Specifically, we examined the enrollment patterns by proximity to the home region and factors associated with these college decisions. The results suggest that these students' college choices were a process influenced by both precollege individual characteristics and social contexts. The findings also supported our hypothesis that acquisition of various types of capital and academic success of the school district (as one of several indicators of a college-going culture) were negatively related to student preferences for college proximity. These findings highlight the interplay between individual, family, community, and school at different levels as it influences college decisions of students from the deindustrialized Midwest region and regions alike. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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