Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Grade 4 | 2 |
| Grade 8 | 2 |
| Item Response Theory | 2 |
| Mathematics Tests | 2 |
| Models | 2 |
| National Competency Tests | 2 |
| Reading Tests | 2 |
| Regression (Statistics) | 2 |
| Computation | 1 |
| Mathematics | 1 |
| Methods | 1 |
| More ▼ | |
Author
| Sinharay, Sandip | 2 |
| von Davier, Matthias | 2 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
| Grade 4 | 2 |
| Grade 8 | 2 |
| Elementary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkvon Davier, Matthias; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2010
This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response theory (IRT) to a latent variable model with covariates…
Descriptors: Item Response Theory, Statistical Analysis, Regression (Statistics), Models
Download full textvon Davier, Matthias; Sinharay, Sandip – Educational Testing Service, 2009
This paper presents an application of a stochastic approximation EM-algorithm using a Metropolis-Hastings sampler to estimate the parameters of an item response latent regression model. Latent regression models are extensions of item response theory (IRT) to a 2-level latent variable model in which covariates serve as predictors of the…
Descriptors: Item Response Theory, Regression (Statistics), Models, Methods
