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Multilevel multivariate meta-analysis made easy: An introduction to MLMVmeta.

Blakeley B McShane¹, Ulf Böckenholt²

¹Kellogg School of Management, Northwestern University, Evanston, IL, USA. b-mcshane@kellogg.northwestern.edu.

Behavior Research Methods

|August 1, 2022

Summary

This summary is machine-generated.

Psychological research often uses basic random effects meta-analysis. This paper introduces MLMVmeta, a tool for more complex multilevel multivariate meta-analytic models, enabling richer insights.

Keywords:

Meta-analysis Multilevel Multivariate

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Area of Science:

Psychology
Statistics

Background:

The random effects meta-analytic model is prevalent in psychological research, often used even when more complex models are appropriate.
Complex multilevel multivariate meta-analytic models offer more accurate and extensive results but are underutilized due to practical challenges.

Approach:

Introduces MLMVmeta, a user-friendly web application for implementing multilevel multivariate meta-analytic methodology.
Tailored for contemporary psychological research, MLMVmeta ensures models are estimable, interpretable, and parsimonious.
Illustrates the application and benefits through three progressively complex case studies.

Key Points:

Multilevel multivariate meta-analytic models provide more accurate and comprehensive findings than simpler models.
The case studies demonstrate increasing model complexity, incorporating more factors, conditions, dependent variables, and levels.
MLMVmeta facilitates the adoption of these advanced statistical techniques in psychological research.

Conclusions:

MLMVmeta simplifies the application of advanced meta-analytic techniques in psychology.
The tool supports researchers in obtaining more nuanced and robust results from their data.
Increased utilization of multilevel multivariate meta-analysis can advance psychological research methodologies.