Identifying Transfer Student Subgroups by Academic and Social Adjustment: A Latent Class Analysis

Autor/inn/en	Fematt, Veronica L.; Grimm, Ryan P.; Nylund-Gibson, Karen; Gerber, Michael M.; Brenner, Mary Betsy; Solórzano, Daniel
Titel	Identifying Transfer Student Subgroups by Academic and Social Adjustment: A Latent Class Analysis
Quelle	In: Community College Journal of Research and Practice, 45 (2021) 3, S.167-183 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Fematt, Veronica L.) ORCID (Grimm, Ryan P.) ORCID (Nylund-Gibson, Karen) ORCID (Gerber, Michael M.) ORCID (Brenner, Mary Betsy)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1066-8926
DOI	10.1080/10668926.2019.1657516
Schlagwörter	College Transfer Students; College Freshmen; Research Universities; Selective Admission; Community Colleges; Student Adjustment; Social Adjustment; Intervention; School Orientation; Program Effectiveness; Predictor Variables; Student Characteristics; Majors (Students); STEM Education; Grade Point Average; Racial Differences; Student Participation; Sense of Community; Transitional Programs; California + Suchen Sie Ihr Suchwort? Hochschulwechsel; Schulwechsel; Studienortwechsel; Studienanfänger; Forschungseinrichtung; Bildungsselektion; Community college; Community College; Student; Students; Adjustment; Schüler; Schülerin; Studentin; Adaptation; Soziale Anpassung; Prädiktor; STEM; Rassenunterschied; Schülermitarbeit; Schülermitwirkung; Studentische Mitbestimmung; Kalifornien
Abstract	A dearth of literature exists on first-year transfer student interventions, which makes it difficult to determine whether there are transfer student subgroups that struggle more than others. This study used a latent class analysis to examine whether meaningful subgroups of transfer students emerged based on their response patterns to measures of academic and social adjustment. Results identified four subgroups and showed participants in a first-year transfer student course more likely to be report positive adjustment and had the smallest drop in GPA. Furthermore, STEM majors were most likely to belong to the subgroup with lower adjustment. This study is one of the first to use a latent class analysis to identify transfer student subgroups and provide empirical support for first-year transfer student program interventions at a selective research-intensive public university. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01