An NCME Instructional Module on Data Mining Methods for Classification and Regression

Autor/in	Sinharay, Sandip
Titel	An NCME Instructional Module on Data Mining Methods for Classification and Regression
Quelle	In: Educational Measurement: Issues and Practice, 35 (2016) 3, S.38-54 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0731-1745
DOI	10.1111/emip.12115
Schlagwörter	Data Collection; Information Retrieval; Classification; Regression (Statistics); Educational Assessment; Measurement; Learning Modules; Educational Benefits + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Classification system; Klassifikation; Klassifikationssystem; Regression; Regressionsanalyse; Education; assessment; Bewertungssystem; Messverfahren; Learning module; Lernmodul; Bildungsertrag
Abstract	Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then demonstrates using three real-data examples that these methods may lead to an improvement over traditionally used methods such as linear and logistic regression in educational measurement. (As Provided).
Anmerkungen	Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01