Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Models | 3 |
| Monte Carlo Methods | 3 |
| Multidimensional Scaling | 3 |
| Goodness of Fit | 2 |
| Item Response Theory | 2 |
| Computation | 1 |
| Data Analysis | 1 |
| Difficulty Level | 1 |
| Evidence | 1 |
| Familiarity | 1 |
| Item Analysis | 1 |
| More ▼ | |
Author
| Bijmolt, Tammo H. A. | 1 |
| Cai, Li | 1 |
| DeSarbo, Wayne S. | 1 |
| Monroe, Scott | 1 |
| Schwarz, Richard D. | 1 |
| Wedel, Michel | 1 |
| Yao, Lihua | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textMonroe, Scott; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
In Ramsay curve item response theory (RC-IRT, Woods & Thissen, 2006) modeling, the shape of the latent trait distribution is estimated simultaneously with the item parameters. In its original implementation, RC-IRT is estimated via Bock and Aitkin's (1981) EM algorithm, which yields maximum marginal likelihood estimates. This method, however,…
Descriptors: Item Response Theory, Maximum Likelihood Statistics, Statistical Inference, Models
Peer reviewedBijmolt, Tammo H. A.; DeSarbo, Wayne S.; Wedel, Michel – Multivariate Behavioral Research, 1998
A multidimensional scaling procedure is introduced that attempts to derive a spatial representation of stimuli unconfounded by the effect of subjects' degrees of familiarity with these stimuli. A Monte Carlo study investigating the extent to which the procedure recovers known parameters shows that the procedure succeeds in adjusting for…
Descriptors: Familiarity, Models, Monte Carlo Methods, Multidimensional Scaling
Direct linkYao, Lihua; Schwarz, Richard D. – Applied Psychological Measurement, 2006
Multidimensional item response theory (IRT) models have been proposed for better understanding the dimensional structure of data or to define diagnostic profiles of student learning. A compensatory multidimensional two-parameter partial credit model (M-2PPC) for constructed-response items is presented that is a generalization of those proposed to…
Descriptors: Models, Item Response Theory, Markov Processes, Monte Carlo Methods
