Model-Free CUSUM Methods for Person Fit

Autor/inn/en	Armstrong, Ronald D.; Shi, Min
Titel	Model-Free CUSUM Methods for Person Fit
Quelle	In: Journal of Educational Measurement, 46 (2009) 4, S.408-428 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2009.00090.x
Schlagwörter	Probability; Simulation; Models; Psychometrics; Educational Testing; Student Evaluation; Evaluation Methods; Educational Assessment; Measurement; Evaluation Research; Admission (School); Standardized Tests; Statistical Analysis; Statistics + Suchen Sie Ihr Suchwort? Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Simulation program; Simulationsprogramm; Analogiemodell; Psychometry; Psychometrie; Schulnote; Studentische Bewertung; Education; assessment; Bewertungssystem; Messverfahren; Evaluationsforschung; Standadised tests; Standardisierter Test; Statistische Analyse; Statistik
Abstract	This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics found in the literature as well as an adaptation of another CUSUM approach. The study used both simulated responses and real response data from a large-scale standardized admission test. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10