How Big Is Big Enough? Sample Size Requirements for CAST Item Parameter Estimation

Autor/inn/en	Chuah, Siang Chee; Drasgow, Fritz; Luecht, Richard
Titel	How Big Is Big Enough? Sample Size Requirements for CAST Item Parameter Estimation
Quelle	In: Applied Measurement in Education, 19 (2006) 3, S.241-255 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1207/s15324818ame1903_5
Schlagwörter	Test Length; Sample Size; Adaptive Testing; Item Response Theory; Computer Assisted Testing; Simulation; Design Requirements; Formative Evaluation + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Simulation program; Simulationsprogramm; Design preferences; Gestaltungsmittel
Abstract	Adaptive tests offer the advantages of reduced test length and increased accuracy in ability estimation. However, adaptive tests require large pools of precalibrated items. This study looks at the development of an item pool for 1 type of adaptive administration: the computer-adaptive sequential test. An important issue is the sample size required for adequate estimation of item response theory item parameters. The authors simulated responses of 300, 500, and 1,000 respondents per item, estimated item parameters with the BILOG program, and then evaluated the adequacy of the parameter estimates. The results suggest that sample sizes as small as 300 respondents per item are adequate for estimating ability and classifying examinees as masters or nonmasters. (Author).
Anmerkungen	Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: https://www.erlbaum.com.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10