2024-25 Seminars and Recordings

September 30, 2024

October 18, 2024, 9 am CDT

Fitting Flexible Meta-Analytic Models with Structural Equation Modeling

Speaker: Dr. Mike Cheung, National University of Singapore
Description: Understanding the differences between various meta-analytic models, such as the fixed-effect, random-effects, and multiplicative error models, can be challenging for researchers. This presentation explains these models using a graphical representation within a structural equation modeling (SEM) framework. Users specify meta-analytic models using lavaan syntax. The metaSEM package in R can convert these models to graphical models, model-implied mean and variance, and fit models using the Full Information Maximum Likelihood (FIML) estimation method. Complex meta-analytic models, such as multivariate meta-analysis and mediation models, can also be fitted. Users without strong statistical and programming backgrounds can still develop and implement novel meta-analytic models that are not available in standard meta-analysis software.
Slides
Video Recording
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Getting Meta-Analyses Done: Practical Perspectives from Experienced Reviewers

Panelists:
- Dr. Carlton Fong, Texas State University
- Dr. Amanda Neitzel, Johns Hopkins University
- Dr. Peng Peng, University of Texas at Austin
Description: Our panel of prolific and experienced systematic reviewers will be discussing the very practical side of systematic reviews and meta-analyses, common challenges and roadblocks, and tips for getting meta-analyses done, with plenty of time for audience questions and discussion.
Video Recording
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