Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| Large-scale Assessments in… | 2 |
Author
| Haberman, Shelby J. | 1 |
| Johnson, Matthew S. | 1 |
| Matthew S. Johnson | 1 |
| Paul A. Jewsbury | 1 |
| Sinharay, Sandip | 1 |
| van Rijn, Peter W. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 2 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
van Rijn, Peter W.; Sinharay, Sandip; Haberman, Shelby J.; Johnson, Matthew S. – Large-scale Assessments in Education, 2016
Latent regression models are used for score-reporting purposes in large-scale educational survey assessments such as the National Assessment of Educational Progress (NAEP) and Trends in International Mathematics and Science Study (TIMSS). One component of these models is based on item response theory. While there exists some research on assessment…
Descriptors: Goodness of Fit, Item Response Theory, Regression (Statistics), National Competency Tests

Peer reviewed
Direct link
