Leaving the 2-Year College

Predictors of Black Male Collegian Departure

Bibliographic Data

ID18959293
AuthorsJ Luke Wood (0000-0001-6905-2560, San Diego State University, San Diego, CA, USA, corresponding author)
Year2012
Volume43
Issue3
Pages303-326
Publication date2012-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Black Studies (JOURNAL)
Journal identifiersISSN: 0021-9347 • E-ISSN: 1552-4566
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0021934711424490
OpenAlexW2132893621
LanguageEN
Citations received7
References cited22

The purpose of this study was to investigate Black male collegians’ reported reasons for leaving college. This study examined students in public 2-year colleges, comparing Black male collegians with all other male collegians. Data examined were derived from the first two waves (2003-2004 and 2005-2006) of the Beginning Postsecondary Students Longitudinal Study. Data were analyzed using logistic regression. Findings from descriptive data indicated that Blacks and non-Blacks had few similarities in the areas they reported as their reasons for leaving. Logistic regression analyses revealed little differences in patterns across the two waves in leaving college for academic problems. However, they illustrated that Black males were less likely to leave college for program dissatisfaction, financial reasons, military reasons, or scheduling issues. In contrast, patterns indicated that Black males were more likely to leave for other reasons not included in the response categories. Two variables examined in this study illustrated differences across the waves. In the first wave, the odds of Black male departure due to family responsibilities were greater for Black males, while they were lower in the second wave. This suggested that Black men who will leave college due to family responsibilities will do so early on. Furthermore, the odds of Black male departure were lower for other reasons in the first wave and greater in the second wave

Black male · Descriptive statistics · Logistic regression · Odds · Sociology · Statistics · Demography · Education and Military Integration · Gender Studies · Higher Education Research Studies · Medicine · Mentoring and Academic Development · Psychology

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