CUI Tianxiang
2022.11.01
Intro
Preparations
Data Analysis
To perform a meta-analysis we compute an effect size and variance for each study, and then compute a weighted mean of these effect sizes.
The relationship between two constructs
The effect of an intervention
The structure of a model
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Use “*” when variations are needed (e.g., therap* includes therapy, therapies, theraputic, etc.)
Use "" to include pharses (e.g., “body image”)
Use “AND” and “OR” correctly
General inclusion criteria & exclusion criteria
Specific criteria
Two coders (code independently then discuss)
Krippendorff’s alpha (≥ .800)
Refer to previous studies when choosing tools
Two coders (code independently then discuss)
Baujat plots and influential case diagnostics
A pooled effect size with outliers excluded
Forest plot for the effect sizes
Q statistics (p < .05) indicate a significant heterogeneity
Meta-regression analyses of potential moderators (age, region, data source, etc.)
For continuous variables, at least 10 effect sizes (Higgins et al., 2019)
For categorical variables, at least 3 effect sizes for the subgroup of a variable
Funnel plots
The p-uniform* method