Meta-analysis methods for synthesizing treatment effects in multisite studies: hierarchical linear modeling (HLM) perspective
DOI
https://doi.org/10.7275/hq9w-4881
Abstract
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. Accessed 58,759 times on https://pareonline.net from June 23, 2003 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Kalaian, Sema A.
(2019)
"Meta-analysis methods for synthesizing treatment effects in multisite studies: hierarchical linear modeling (HLM) perspective,"
Practical Assessment, Research, and Evaluation: Vol. 8, Article 15.
DOI: https://doi.org/10.7275/hq9w-4881
Available at:
https://scholarworks.umass.edu/pare/vol8/iss1/15