Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments
Compute And Format
Interaction effect: Standardized mean difference
Correction for small-sample bias
Required columns for computing lnVR
Main effect: Standardized Mean Difference
Pooled Standard Deviation for SMD in factorial experiments
Simple effect: Standardized Mean Difference
Log Coefficient of Variation Ratio: Interaction Between Experimental T...
Log Response Ratio: Interaction Between Experimental Treatment and Tim...
Log of Variability Ratio: Interaction Between Experimental Treatment a...
Standardized Mean Difference for the interaction between Experimental ...
Pooled Standard Deviation for SMD in non-independent factorial
Individual Effect: Log Coefficient Of Variation Ratio
Interaction Effect: Log Coefficient of Variation Ratio
Main Effect: Log Coefficient Of Variation Ration
Simple effect: Log Response Ratio
Interaction effect: Log Response Ratio
Main effect: Log Response Ratio
Individual effect: Log of Variability Ratio
Interaction effect: Log Variability Ratio
Main Effect: Log of the Variability Ratio
Simple effect: Standardized Mean Difference
Interaction effect: Standardized mean difference
Main effect: Standardized Mean Difference
Log Coefficient of Variation Ratio: Interaction Between Treatment and ...
Log Response Ratio: Interaction Between Treatment and Time
Log of Variability Ratio: Interaction Between Treatment and Time
Standardized Mean Difference: Interaction Between Treatment and Time
Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.