Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 6 |
Descriptor
| Meta Analysis | 6 |
| Effect Size | 4 |
| Error of Measurement | 3 |
| Regression (Statistics) | 3 |
| Comparative Analysis | 2 |
| Models | 2 |
| Simulation | 2 |
| Statistical Bias | 2 |
| Classification | 1 |
| Computation | 1 |
| Data Analysis | 1 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Learning and Study Strategies… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLee, Jihyun; Beretvas, S. Natasha – Research Synthesis Methods, 2023
Meta-analysts often encounter missing covariate values when estimating meta-regression models. In practice, ad hoc approaches involving data deletion have been widely used. The current study investigates the performance of different methods for handling missing covariates in meta-regression, including complete-case analysis (CCA), shifting-case…
Descriptors: Comparative Analysis, Research Methodology, Regression (Statistics), Meta Analysis
Download full textJoo, Seang-Hwane; Wang, Yan; Ferron, John; Beretvas, S. Natasha; Moeyaert, Mariola; Van Den Noortgate, Wim – Journal of Educational and Behavioral Statistics, 2022
Multiple baseline (MB) designs are becoming more prevalent in educational and behavioral research, and as they do, there is growing interest in combining effect size estimates across studies. To further refine the meta-analytic methods of estimating the effect, this study developed and compared eight alternative methods of estimating intervention…
Descriptors: Meta Analysis, Effect Size, Computation, Statistical Analysis
Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2021
Previous research found bias in the estimate of the overall fixed effects and variance components using multilevel meta-analyses of standardized single-case data. Therefore, we evaluate two adjustments in an attempt to reduce the bias and improve the statistical properties of the parameter estimates. The results confirm the existence of bias when…
Descriptors: Statistical Bias, Multivariate Analysis, Meta Analysis, Research Design
Fernández-Castilla, Belén; Declercq, Lies; Jamshidi, Laleh; Beretvas, S. Natasha; Onghena, Patrick; Van den Noortgate, Wim – Journal of Experimental Education, 2021
This study explores the performance of classical methods for detecting publication bias--namely, Egger's regression test, Funnel Plot test, Begg's Rank Correlation and Trim and Fill method--in meta-analysis of studies that report multiple effects. Publication bias, outcome reporting bias, and a combination of these were generated. Egger's…
Descriptors: Statistical Bias, Meta Analysis, Publications, Regression (Statistics)
Joshi, Megha; Pustejovsky, James E.; Beretvas, S. Natasha – Research Synthesis Methods, 2022
The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multiple effect size estimates per primary study, leading to dependence in the estimates. Some…
Descriptors: Meta Analysis, Regression (Statistics), Models, Effect Size
Fong, Carlton J.; Lee, Jihyun; Krou, Megan R.; Hoff, Meagan A.; Johnston-Ashton, Karen; Gonzales, Cassandra; Beretvas, S. Natasha – Journal of Experimental Education, 2023
The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…
Descriptors: Meta Analysis, Factor Structure, Learning Strategies, Measures (Individuals)
