An Active Learning Approach to Teach Advanced Multi-Predictor Modeling Concepts to Clinicians

Autor/inn/en	Samsa, Gregory P.; Thomas, Laine; Lee, Linda S.; Neal, Edward M.
Titel	An Active Learning Approach to Teach Advanced Multi-Predictor Modeling Concepts to Clinicians
Quelle	In: Journal of Statistics Education, 20 (2012) 1, (34 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1069-1898
Schlagwörter	Active Learning; Statistics; Mathematics Instruction; Prediction; Models; Statistical Analysis; Graduate Students; Health Personnel; Teaching Methods; Case Studies; Curriculum Design; Course Content; Student Attitudes; Assignments; North Carolina + Suchen Sie Ihr Suchwort? Aktives Lernen; Statistik; Mathematics lessons; Mathematikunterricht; Vorhersage; Analogiemodell; Statistische Analyse; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Medizinisches Personal; Teaching method; Lehrmethode; Unterrichtsmethode; Case study; Fallstudie; Case Study; Lehrplangestaltung; Kursprogramm; Schülerverhalten; Assignment; Auftrag; Zuweisung
Abstract	Clinicians have characteristics--high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class--that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning based approach that shows particular promise for accommodating these characteristics. (Contains 1 table.) (As Provided).
Anmerkungen	American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10