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
| Computation | 1 |
| Effect Size | 1 |
| Intervention | 1 |
| Meta Analysis | 1 |
| Regression (Statistics) | 1 |
| Research Design | 1 |
| Sample Size | 1 |
| Sampling | 1 |
| Simulation | 1 |
| Statistical Analysis | 1 |
| Statistical Bias | 1 |
| More ▼ | |
Source
| Journal of Experimental… | 1 |
Author
| Beretvas, S. Natasha | 1 |
| Ferron, John M. | 1 |
| Moeyaert, Mariola | 1 |
| Ugille, Maaike | 1 |
| Van den Noortgate, Wim | 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 linkUgille, Maaike; Moeyaert, Mariola; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim – Journal of Experimental Education, 2014
A multilevel meta-analysis can combine the results of several single-subject experimental design studies. However, the estimated effects are biased if the effect sizes are standardized and the number of measurement occasions is small. In this study, the authors investigated 4 approaches to correct for this bias. First, the standardized effect…
Descriptors: Effect Size, Statistical Bias, Sample Size, Regression (Statistics)
