An Illustration of Diagnostic Classification Modeling in Student Learning Outcomes Assessment

Autor/inn/en	Jurich, Daniel P.; Bradshaw, Laine P.
Titel	An Illustration of Diagnostic Classification Modeling in Student Learning Outcomes Assessment
Quelle	In: International Journal of Testing, 14 (2014) 1, S.49-72 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1530-5058
DOI	10.1080/15305058.2013.835728
Schlagwörter	College Outcomes Assessment; Classification; Statistical Analysis; Models; Measurement; Undergraduate Students; Pretests Posttests; Test Items; Goodness of Fit; Correlation + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Statistische Analyse; Analogiemodell; Messverfahren; Test content; Testaufgabe; Korrelation
Abstract	The assessment of higher-education student learning outcomes is an important component in understanding the strengths and weaknesses of academic and general education programs. This study illustrates the application of diagnostic classification models, a burgeoning set of statistical models, in assessing student learning outcomes. To facilitate understanding and future applications of diagnostic modeling, the log-linear cognitive diagnosis model used in this study is presented in a didactic manner. The model is applied in a context where undergraduate students were assessed along four learning outcomes related to psychosocial research across two time points. Results focus on implications and methods to aid stakeholders' interpretation of the analyses. Contrasts to traditional measurement models and potential future applications are also discussed. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10