Checking the Assumptions of Rasch's Model for Speed Tests
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| Title: | Checking the Assumptions of Rasch's Model for Speed Tests |
|---|---|
| Language: | English |
| Authors: | Jansen, M. G. H., Glas, C. A. W. |
| Source: | Psychometrika. Dec 2005 70(4):671-684. |
| Availability: | Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com. |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2005 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Timed Tests, Reaction Time, Models, Difficulty Level, Test Items, Probability, Computation, Evaluation Methods |
| DOI: | 10.1007/s11336-001-0929-2 |
| ISSN: | 0033-3123 |
| Abstract: | Two new tests for a model for the response times on pure speed tests by Rasch (1960) are proposed. The model is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and unknown rate parameters. The rate parameters are decomposed in a subject ability parameter and a test difficulty parameter. By treating the ability as a gamma distributed random variable, maximum marginal likelihood (MML) estimators for the test difficulty parameters and the parameters of the ability distribution are easily derived. Also the model tests proposed here pertain to the framework of MML. Two tests or modification indices are proposed. The first one is focused on the assumption of local stochastic independence, the second one on the assumption of the test characteristic functions. The tests are based on Lagrange multiplier statistics, and can therefore be computed using the parameter estimates under the null model. Therefore, model violations for all items and pairs of items can be assessed as a by-product of one single estimation run. Power studies and applications to real data are included as numerical examples. |
| Abstractor: | Author |
| Entry Date: | 2006 |
| Accession Number: | EJ736780 |
| Database: | ERIC |
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