A Comparison on the Rasch Item Probability with Three Common Item Characteristics as Criteria for Item Selection.

Autor/inn/en	Tinsley, Howard E. A.; Dawis, Rene V.
Institution	Minnesota Univ., Minneapolis. Center for the Study of Organizational Performance and Human Effectiveness.
Titel	A Comparison on the Rasch Item Probability with Three Common Item Characteristics as Criteria for Item Selection.
Quelle	(1972), (22 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	College Students; Correlation; Evaluation Criteria; Goodness of Fit; Higher Education; Item Analysis; Mathematical Models; Multiple Choice Tests; Probability; Research Methodology; Semantics; Statistical Data; Test Construction; Visual Measures + Suchen Sie Ihr Suchwort? Collegestudent; Korrelation; Hochschulbildung; Hochschulsystem; Hochschulwesen; Itemanalyse; Mathematical model; Mathematisches Modell; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Research method; Forschungsmethode; Semantik; Testaufbau
Abstract	Selection of items for analogy tests according to the Rasch item probability of "goodness of fit" to the model is compared with three commonly used item selection criteria: item discrimination, item difficulty, and item-ability correlation. Word, picture, symbol and number analogies in multiple choice format were administered to several hundred college students. Analysis showed that Rasch item probabilities of .05 and .01 are more lenient (in terms of proportion of items rejected) criteria than commonly used criteria (item difficulty of between .10 and .80, item discrimination of .20, item-ability correlation of .20). Results also showed only a moderate amount of overlap among the four criteria, with the Rasch item probability and item discrimination being the most similar, and item difficulty and item-ability correlates being the most dissimilar. (Author)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC