Quantitative Synthesis of Research Evidence: Multilevel Meta-Analysis. (August 2019)

• Record Type: Journal Article
• Authors: Moeyaert, Mariola
• Is Part Of: Behavioral disorders. Volume 44:Number 4(2019)
• Page Start: 241
• Page End: 256
• Publication Date: 2019-08
• Subjects: multilevel meta-analysis -- regression-based effect size -- precision -- standardization -- Hedges's bias correction -- single-case experimental design; Behavior disorders in children -- Periodicals; Child Behavior Disorders; Comportement, Troubles du, chez l'enfant -- Périodiques; Behavior disorders in children; Trouble du comportement; Trouble affectif; Jeune; Periodicals; Periodicals; 618.9289005
• DOI: 10.1177/0198742918806926
• Languages: English
• ISSNs: 0198-7429

Abstract

Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in powerful, unbiased, and precise effect size estimates. However, its use in practice is limited and its full potential is not yet fully understood. This article aims to bring the multilevel meta-analytic model closer to the applied researcher by introducing the technique at a conceptual level and discussing its full potential and relevance to the field. The procedure of multilevel meta-analysis is illustrated using a recent single-case meta-analytic dataset. Software codes, output tables, interpretations, and graphical displays of effect size estimates are given such that the reader can repeat the analysis independently.