Clustering effect and non-zero intraclass correlation produce the variability that can be observed in meta-analytic data. Statistical modeling is shown to provide a flexible approach to capturing and describing this empirical variability. The most common multilevel approach to analyzing data from meta-analysis is illustrated in this article with a set of 177 studies of behavioral therapies. © 2007 American Counseling Association. All rights reserved.Link_to_subscribed_fulltex
Meta-analysis is both a theory and a toolbox of statistical techniques for combining summary statist...
Meta-regression is simply the extension of the regression analysis. Whereas in the regression anal...
Meta-analysis is a valuable statistical technique for synthesising the available educational researc...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Studies in behavioral sciences are often underpowered, because population effects and sample sizes a...
A meta-analysis combines and compares quantitative results of a set of studies in which more or less...
Multilevel modeling is an approach that can be used to summarize single-case experimental design (SC...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consen...
This article combines procedures for single-level mediational analysis with multilevel modeling tech...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of ef...
Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of ef...
Nesting of patients within care providers in trials of physical and talking therapies creates an add...
Nesting of patients within care providers in trials of physical and talking therapies creates an add...
Meta-analysis is both a theory and a toolbox of statistical techniques for combining summary statist...
Meta-regression is simply the extension of the regression analysis. Whereas in the regression anal...
Meta-analysis is a valuable statistical technique for synthesising the available educational researc...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Studies in behavioral sciences are often underpowered, because population effects and sample sizes a...
A meta-analysis combines and compares quantitative results of a set of studies in which more or less...
Multilevel modeling is an approach that can be used to summarize single-case experimental design (SC...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consen...
This article combines procedures for single-level mediational analysis with multilevel modeling tech...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of ef...
Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of ef...
Nesting of patients within care providers in trials of physical and talking therapies creates an add...
Nesting of patients within care providers in trials of physical and talking therapies creates an add...
Meta-analysis is both a theory and a toolbox of statistical techniques for combining summary statist...
Meta-regression is simply the extension of the regression analysis. Whereas in the regression anal...
Meta-analysis is a valuable statistical technique for synthesising the available educational researc...