An Expansion and Practical Evaluation of Expected Classification Accuracy

Autor/in	Martineau, Joseph A.
Titel	An Expansion and Practical Evaluation of Expected Classification Accuracy
Quelle	In: Applied Psychological Measurement, 31 (2007) 3, S.181-194 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621606291557
Schlagwörter	Classification; Error of Measurement; Sample Size; Scores; Simulation + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Messfehler; Simulation program; Simulationsprogramm
Abstract	Rudner (2001, 2005) described an expected classification accuracy index for determining the asymptotic expectation of accuracy of classifications of examinees into score categories. This article expands on that exposition by evaluating the index as it is likely to be used in practice (as a point estimate of classification accuracy), provides a related index of expected proportion in each score category, derives a measurement error-based standard error of expected proportion in each category, applies the methods to a large-scale state assessment database, and analyzes the benefits and limitations of the methodology. This study demonstrates that Rudner's index as a point estimate is slightly positively biased but nevertheless useful for groups with reasonably large numbers of examinees. It also reinforces the inappropriateness of estimating proportions in score categories for many small groups. (Contains 4 tables and 5 figures.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10