Application of Latent Trait Models to Identifying Substantively Interesting Raters

Autor/inn/en	Wolfe, Edward W.; McVay, Aaron
Titel	Application of Latent Trait Models to Identifying Substantively Interesting Raters
Quelle	In: Educational Measurement: Issues and Practice, 31 (2012) 3, S.31-37 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0731-1745
DOI	10.1111/j.1745-3992.2012.00241.x
Schlagwörter	Researchers; Correlation; Test Bias; Item Response Theory; Raw Scores; Rating Scales; Models; Writing Evaluation + Suchen Sie Ihr Suchwort? Researcher; Forscher; Korrelation; Testkritik; Item-Response-Theorie; Rating-Skala; Analogiemodell
Abstract	Historically, research focusing on rater characteristics and rating contexts that enable the assignment of accurate ratings and research focusing on statistical indicators of accurate ratings has been conducted by separate communities of researchers. This study demonstrates how existing latent trait modeling procedures can identify groups of raters who may be of substantive interest to those studying the experiential, cognitive, and contextual aspects of ratings. We employ two data sources in our demonstration--simulated data and data from a large-scale state-wide writing assessment. We apply latent trait models to these data to identify examples of rater leniency, centrality, inaccuracy, and differential dimensionality; and we investigate the association between rater training procedures and the manifestation of rater effects in the real data. (Contains 5 tables.) (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	2017/4/10