Using Modern Statistical Methods to Analyze Demographics of Kansas ABE/GED Students Who Transition to Community or Technical College Programs

Autor/inn/en	Zacharakis, Jeff; Wang, Haiyan; Patterson, Margaret Becker; Andersen, Lori
Titel	Using Modern Statistical Methods to Analyze Demographics of Kansas ABE/GED Students Who Transition to Community or Technical College Programs
Quelle	In: Journal of Research and Practice for Adult Literacy, Secondary, and Basic Education, 4 (2015) 3, S.5-21 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2169-0480
Schlagwörter	Adult Basic Education; High School Equivalency Programs; Elementary Secondary Education; Postsecondary Education; Adult Education; Databases; Correlation; Student Characteristics; Community Colleges; Technical Education; Statistical Analysis; Predictor Variables; Graduation; College Graduates; Majors (Students); Achievement Gains; Developmental Studies Programs; Age Differences; Success; Kansas; General Educational Development Tests + Suchen Sie Ihr Suchwort? Adult; Adults; Education; Adult education; Erwachsenenbildung; Post-secondary education; Tertiäre Bildung; Adult basic education; Adult training; Datenbank; Korrelation; Community college; Community College; Technikunterricht; Statistische Analyse; Prädiktor; Abschluss; Graduierung; Hochschulabsolvent; Hochschulabsolventin; Achievement gain; Leistungssteigerung; Developmental studies; Developmental psychology; Study; Studies; Entwicklungspsychologie; Studium; Age; Difference; Age difference; Altersunterschied; Erfolg
Abstract	This research analyzed linked high-quality state data from K-12, adult education, and postsecondary state datasets in order to better understand the association between student demographics and successful completion of a postsecondary program. Due to the relatively small sample size compared to the large number of features, we analyzed the data with Nearest Shrunken Centroid (PAM), a statistical method developed for cancer and genomic research. Our findings conclude that there are five features that are predictive of an adult education student's successful completion of a postsecondary program. (As Provided).
Anmerkungen	Commission on Adult Basic Education. PO Box 620, Syracuse, NY 13206. Tel: 888-442-6223; e-mail: journal@coabe.org; Web site: http://www.coabe.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01