Publication Date
| In 2025 | 1 |
Descriptor
| Accuracy | 1 |
| Algorithms | 1 |
| Bayesian Statistics | 1 |
| Evaluation Methods | 1 |
| Generalization | 1 |
| Item Response Theory | 1 |
| Models | 1 |
| Sample Size | 1 |
| Simulation | 1 |
Source
| Journal of Educational and… | 1 |
Author
| Jean-Paul Fox | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJean-Paul Fox – Journal of Educational and Behavioral Statistics, 2025
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…
Descriptors: Sample Size, Item Response Theory, Accuracy, Bayesian Statistics
