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) | 1 |
Descriptor
| Effect Size | 1 |
| Factor Analysis | 1 |
| Item Response Theory | 1 |
| Sample Size | 1 |
| Simulation | 1 |
| Structural Equation Models | 1 |
Source
| Applied Measurement in… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| International Adult Literacy… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkWillse, John T.; Goodman, Joshua T.; Allen, Nancy; Klaric, John – Applied Measurement in Education, 2008
The current research demonstrates the effectiveness of using structural equation modeling (SEM) for the investigation of subgroup differences with sparse data designs where not every student takes every item. Simulations were conducted that reflected missing data structures like those encountered in large survey assessment programs (e.g., National…
Descriptors: Structural Equation Models, Simulation, Item Response Theory, Factor Analysis
