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Ryan, Sarah; Junker, Brian W. – Youth & Society, 2019
Through the development and field testing of an instrument designed to measure youth social capital in the context of postsecondary transitions, this research addresses the need for theory-driven measures of social capital among youth. The results offer preliminary evidence that dimensions of youth social capital, including network structure and…
Descriptors: Social Capital, Measurement Techniques, Social Networks, Student Adjustment
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Elliott, William; Nam, Ilsung – Educational Evaluation and Policy Analysis, 2012
Descriptive data indicate that 62% of White young adults between the ages of 17 and 23 years were on course (i.e., either in college or have graduated from college) in 2007, compared with only 37% of Black young adults. Given this, finding novel and promising ways to promote college progress among Black young adults, in particular, is a growing…
Descriptors: Young Adults, African Americans, Adolescents, Whites
Nadler, Dustin R. – ProQuest LLC, 2013
The purpose of this study was to investigate the relationship between college students' social class and their academic outcomes. A structural equation model was proposed, hypothesizing that a student's socioeconomic status (SES) is related to their motives for attending college, thus influencing their perception of fit at the university, their…
Descriptors: College Students, Social Class, Outcomes of Education, Influences
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Museus, Samuel D.; Vue, Rican – Review of Higher Education, 2013
The purpose of this study is to examine socioeconomic differences in the interpersonal factors that influence college access among Asian Americans and Pacific Islanders (AAPIs). Data on 1,460 AAPIs from the Education Longitudinal Study (ELS: 02/06) were analyzed using structural equation modeling techniques. Findings suggest that parental…
Descriptors: Socioeconomic Status, Asian Americans, Pacific Islanders, Access to Education
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Martin, Andrew J. – Journal of Educational Psychology, 2010
Increasingly, school leavers are taking time out from study or formal work after completing high school--often referred to as a "gap year" (involving structured activities such as "volunteer tourism" and unstructured activities such as leisure). Although much opinion exists about the merits--or otherwise--of taking time out after completing…
Descriptors: Structural Equation Models, Learning Motivation, Program Effectiveness, Performance Factors
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White, Helene R.; Fleming, Charles B.; Kim, Min Jung; Catalano, Richard F.; McMorris, Barbara J. – Developmental Psychology, 2008
This study tested whether pro-alcohol peer influences and prosocial involvement account for increases in drinking during the transition into emerging adulthood and whether these mechanisms differ depending on college attendance and/or moving away from home. The authors used structural equation modeling of prospective data from 825 young men and…
Descriptors: College Students, Structural Equation Models, Prevention, College Attendance
Knight, William E. – Association for Institutional Research (NJ1), 2009
As more students enroll at community colleges, questions are raised about whether learning is the same in the two- and four-year sectors, both overall and for sub-groups, and whether effects of student backgrounds and college experiences on learning are similar. This study used structural equation modeling with CCSSE and NSSE data from a sample…
Descriptors: Structural Equation Models, Academic Persistence, College Attendance, College Transfer Students