Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Effect Size | 2 |
Meta Analysis | 2 |
Research Design | 2 |
Case Studies | 1 |
Data | 1 |
Data Analysis | 1 |
Error of Measurement | 1 |
Hierarchical Linear Modeling | 1 |
Models | 1 |
Multivariate Analysis | 1 |
Regression (Statistics) | 1 |
More ▼ |
Source
Grantee Submission | 2 |
Author
Declercq, Lies | 2 |
Ferron, John M. | 2 |
Jamshidi, Laleh | 2 |
Moeyaert, Mariola | 2 |
Van den Noortgate, Wim | 2 |
Beretvas, S. Natasha | 1 |
Fernández-Castilla, Belen | 1 |
Fernández-Castilla, Belén | 1 |
Natasha, Beretvas S. | 1 |
Publication Type
Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Declercq, Lies; Jamshidi, Laleh; Fernández-Castilla, Belen; Moeyaert, Mariola; Natasha, Beretvas S.; Ferron, John M.; Van den Noortgate, Wim – Grantee Submission, 2020
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…
Descriptors: Research Design, Data Analysis, Effect Size, Models
Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Grantee Submission, 2020
The focus of the current study is on handling the dependence among multiple regression coefficients representing the treatment effects when meta-analyzing data from single-case experimental studies. We compare the results when applying three different multilevel meta-analytic models (i.e., a univariate multilevel model avoiding the dependence, a…
Descriptors: Multivariate Analysis, Hierarchical Linear Modeling, Meta Analysis, Regression (Statistics)