META-ANALYSIS TRAINING INSTITUTE
Overview of MATI
The workshop will include 5 days of training and one day of group presentations. Each day will include 3 sessions and will conclude with time to work on the group project. The integrative project will provide participants with an opportunity to practice developing an IES Goal 1 meta-analysis research proposal.
Advanced Statistical Methods
Topics will include:
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Advanced effect sizes (e.g., pre-post, regression coefficients, clustered)
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Power analysis for main effects and moderators
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Methods for handling dependent effect sizes (robust variance estimation)
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Meta-regression
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Missing data (both outcomes and moderators)
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Publication bias
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Meta-SEM
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Single-case designs
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Interpretation of results (particularly with heterogeneity)
Implementation of Methods in R
Students will learn to:
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Use metafor to calculate effect sizes and conduct simple meta-analyses
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Use robumeta and clubSandwich to implement robust variance estimation
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Use metaSEM to estimate meta-SEM models
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Use R more generally to create funnel plots, impute missing data, and conduct power analysis
Project Management Skills
Topics will include:
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Choosing a database management system (e.g., FileMaker vs Excel)
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Setting up a database
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Training coders and assessing reliability
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Budgeting
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Scoping and coding
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Timelines