ERIC Number: EJ895491
Record Type: Journal
Publication Date: 2010-Sep
Abstractor: As Provided
Reference Count: 29
Nested Logit Models for Multiple-Choice Item Response Data
Suh, Youngsuk; Bolt, Daniel M.
Psychometrika, v75 n3 p454-473 Sep 2010
Nested logit item response models for multiple-choice data are presented. Relative to previous models, the new models are suggested to provide a better approximation to multiple-choice items where the application of a solution strategy precedes consideration of response options. In practice, the models also accommodate collapsibility across all distractor categories, making it easier to allow decisions about including distractor information to occur on an item-by-item or application-by-application basis without altering the statistical form of the correct response curves. Marginal maximum likelihood estimation algorithms for the models are presented along with simulation and real data analyses.
Descriptors: Computation, Simulation, Psychometrics, Models, Measurement, Measurement Techniques, Maximum Likelihood Statistics, Item Response Theory, Data Analysis, Multiple Choice Tests, Test Items
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: firstname.lastname@example.org; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A