FULL-INFORMATION FACTOR-ANALYSIS FOR POLYTOMOUS ITEM RESPONSES

Citation
E. Muraki et Je. Carlson, FULL-INFORMATION FACTOR-ANALYSIS FOR POLYTOMOUS ITEM RESPONSES, Applied psychological measurement, 19(1), 1995, pp. 73-90
Citations number
33
Categorie Soggetti
Psychologym Experimental","Social Sciences, Mathematical Methods
ISSN journal
01466216
Volume
19
Issue
1
Year of publication
1995
Pages
73 - 90
Database
ISI
SICI code
0146-6216(1995)19:1<73:FFFPIR>2.0.ZU;2-Z
Abstract
A full-information item factor analysis model for multidimensional pol ytomously scored item response data is developed as an extension of pr evious work by several authors. The model is expressed both in factor- analytic and item response theory parameters. Reckase's multidimension al parameters for the model also are discussed as well as the related geometry. An EM algorithm for estimation of the model parameters is pr esented and results of the analysis of item response data by a compute r program incorporating this algorithm are presented.