The objectives of the present mixed-effects meta-analytic application are to provide practical guidelines to: (a) Calculate..treatment effect sizes from multiple sites; (b) Calculate the overall mean of the site effect sizes and their variances; (c)..Model the heterogeneity in these site treatment effects as a function of site and program characteristics plus..unexplained random error using Hierarchical Linear Modeling (HLM); (d) Improve the ability of multisite evaluators..and policy makers to reach sound conclusions about the effectiveness of educational and social interventions based on..multisite evaluations; and (e) Illustrate the proposed methodology by applying these methods to real multi-site research..data
In most multi-campus studies of college impact that have been conducted over the past four decades, ...
Studies in behavioral sciences are often underpowered, because population effects and sample sizes a...
Standard methods for meta-analysis are limited to pooling tasks in which a single effect size is est...
The objectives of the present mixed-effects meta-analytic application are to provide practical guide...
The purpose of this article is to provide higher education researchers with an illustrative example ...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
Multilevel modeling is an approach that can be used to summarize single-case experimental design (SC...
Meta-analysis is both a theory and a toolbox of statistical techniques for combining summary statist...
Multisite randomized trials (MSTs) are an attractive research design to test the efficacy of an educ...
Two- and three-level hierarchical linear modeling is introduced and demonstrated as a meta-analysis ...
Hierarchical models are common in complex surveys, psychometric applications, as well as agricultura...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Meta-analysis is a valuable statistical technique for synthesising the available educational researc...
Meta-analysis summarizes the results of a series of trials. When more than two treatments are includ...
An intervention may generate heterogeneous impacts due to natural variations in participant characte...
In most multi-campus studies of college impact that have been conducted over the past four decades, ...
Studies in behavioral sciences are often underpowered, because population effects and sample sizes a...
Standard methods for meta-analysis are limited to pooling tasks in which a single effect size is est...
The objectives of the present mixed-effects meta-analytic application are to provide practical guide...
The purpose of this article is to provide higher education researchers with an illustrative example ...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
Multilevel modeling is an approach that can be used to summarize single-case experimental design (SC...
Meta-analysis is both a theory and a toolbox of statistical techniques for combining summary statist...
Multisite randomized trials (MSTs) are an attractive research design to test the efficacy of an educ...
Two- and three-level hierarchical linear modeling is introduced and demonstrated as a meta-analysis ...
Hierarchical models are common in complex surveys, psychometric applications, as well as agricultura...
In a meta-analysis, the findings of a set of studies are combined and compared in a quantitative and...
Meta-analysis is a valuable statistical technique for synthesising the available educational researc...
Meta-analysis summarizes the results of a series of trials. When more than two treatments are includ...
An intervention may generate heterogeneous impacts due to natural variations in participant characte...
In most multi-campus studies of college impact that have been conducted over the past four decades, ...
Studies in behavioral sciences are often underpowered, because population effects and sample sizes a...
Standard methods for meta-analysis are limited to pooling tasks in which a single effect size is est...