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) | 1 |
Descriptor
| Bias | 1 |
| Computation | 1 |
| Computer Software | 1 |
| Equations (Mathematics) | 1 |
| Error Patterns | 1 |
| Error of Measurement | 1 |
| Hierarchical Linear Modeling | 1 |
| Matrices | 1 |
| Models | 1 |
| Monte Carlo Methods | 1 |
| Outcome Measures | 1 |
| More ▼ | |
Source
| Journal of Experimental… | 1 |
Author
| Schoeneberger, Jason A. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSchoeneberger, Jason A. – Journal of Experimental Education, 2016
The design of research studies utilizing binary multilevel models must necessarily incorporate knowledge of multiple factors, including estimation method, variance component size, or number of predictors, in addition to sample sizes. This Monte Carlo study examined the performance of random effect binary outcome multilevel models under varying…
Descriptors: Sample Size, Models, Computation, Predictor Variables
