This is a short post on how to quickly get started using Turbo with your ggplots.

# Month: August 2019

## Interaction analyses – How large a sample do I need? (part 3)

## Interaction analyses – Interpreting effect sizes (part 2)

## Interaction analyses – Power (part 1)

In this series I try to convey a couple of insights about power for interactions in linear regressions. First, how to do a power analysis for a interaction in a linear regression (this post), then interpreting the effect size of a interaction (part 2), and finally thinking about how large (or small) an effect size it is reasonable to plan for (part 3).