A Mixed Method Study Testing Data-Model Fit of a Retention Model for Latino/a Students at Urban Universities

Autor/in	Torres, Vasti
Titel	A Mixed Method Study Testing Data-Model Fit of a Retention Model for Latino/a Students at Urban Universities
Quelle	In: Journal of College Student Development, 47 (2006) 3, S.299-318 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0897-5264
Schlagwörter	Urban Universities; Structural Equation Models; Hispanic American Students; Whites; Goodness of Fit; School Holding Power; Minority Groups; Ethnic Groups; Interviews; Constructivism (Learning); Epistemology; Credibility; Reliability; Validity; Literature Reviews; Factor Analysis; High Schools; Foreign Countries; Student Surveys; Qualitative Research; Mentors; Costa Rica; Cuba; El Salvador; Mexico; Puerto Rico + Suchen Sie Ihr Suchwort? Hispanic; Hispanic Americans; Student; Students; Hispanoamerikaner; Schüler; Schülerin; Studentin; White; Weißer; Ethnische Minderheit; Ethnie; Interviewing; Interviewtechnik; Erkenntnistheorie; Glaubwürdigkeit; Reliabilität; Gültigkeit; Faktorenanalyse; High school; Oberschule; Ausland; Schülerbefragung; Qualitative Forschung; Kuba; Mexiko
Abstract	This study presents the conceptualization and subsequent model fit analysis of a retention model for Latino/a students at urban commuter universities. The three institutions involved in the study represent different environments for Latino/a students. Two are Hispanic Serving Institutions (HSI) and the third represents a predominantly White environment. The model emerged from a concurrent nested mixed method design and reflects the influence of social cognitive theoretical foundations. Using structural equation modeling, the model that emerged from the qualitative data was found to have a good fit and explained 33% of the variance on the "intent to persist in college" variable. (Contains 2 tables and 1 figure.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10