Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Computer Software | 2 |
| Correlation | 2 |
| Goodness of Fit | 2 |
| Item Response Theory | 2 |
| Markov Processes | 2 |
| Models | 2 |
| Monte Carlo Methods | 2 |
| Achievement Tests | 1 |
| College Faculty | 1 |
| College Students | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 1 |
| Grade 4 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Students Evaluation of… | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLeventhal, Brian C.; Stone, Clement A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Interest in Bayesian analysis of item response theory (IRT) models has grown tremendously due to the appeal of the paradigm among psychometricians, advantages of these methods when analyzing complex models, and availability of general-purpose software. Possible models include models which reflect multidimensionality due to designed test structure,…
Descriptors: Bayesian Statistics, Item Response Theory, Models, Psychometrics
Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
