Analyzing Longitudinal Item Response Data via the Pairwise Fitting Method

Autor/inn/en	Fu, Zhi-Hui; Tao, Jian; Shi, Ning-Zhong; Zhang, Ming; Lin, Nan
Titel	Analyzing Longitudinal Item Response Data via the Pairwise Fitting Method
Quelle	In: Multivariate Behavioral Research, 46 (2011) 4, S.669-690 (22 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Simulation; Foreign Countries; Longitudinal Studies; Item Response Theory; Junior High School Students; Models; Mathematics Instruction; Mathematics Education; Comparative Analysis; Surveys; Evaluation Methods; China + Suchen Sie Ihr Suchwort? Simulation program; Simulationsprogramm; Ausland; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Item-Response-Theorie; Junior High Schools; Student; Students; Sekundarstufe I; Schüler; Schülerin; Analogiemodell; Mathematics lessons; Mathematikunterricht; Mathematische Bildung; Survey; Umfrage; Befragung
Abstract	Multidimensional item response theory (MIRT) models can be applied to longitudinal educational surveys where a group of individuals are administered different tests over time with some common items. However, computational problems typically arise as the dimension of the latent variables increases. This is especially true when the latent variable distribution cannot be integrated out analytically, as with MIRT models for binary data. In this article, based on the pseudolikelihood theory, we propose a pairwise modeling strategy to estimate item and population parameters in longitudinal studies. Our pairwise method effectively reduces the dimensionality of the problem and hence is applicable to longitudinal IRT data with high-dimensional latent variables, which are challenging for classical methods. And in the low-dimensional case, our simulation study shows that it performs comparably with the classical methods. We further illustrate the implementation of the pairwise method using a development study of mathematics levels of junior high school students in which the response data are collected from 65 classes of 8 schools from 4 different school districts in China. (Contains 4 tables and 1 figure.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10