You can try out bootstrapping with my new shiny app.
Bootstrapping is a really useful statistical tool. It relies on re-sampling, with replacement, from a sample of data you have acquired. The idea is that by re-sampling your sample over and over again, you simulate running studies over and over again. It’s obviously not exactly analogous - sampling bias in...
Clearing up a misconception with confidence intervals
Confidence intervals are a nice way to present your results. They get you away from the dichotomous nature of p-values, and allow you to express the precision of the variable of interest. Whether it is the difference between two groups in a t-test or the slope of a linear regression,...
One way to make clear what is being calculated in a two-way ANOVA
The factorial design ANOVA (or Analysis of Variance) is maybe one of simplest yet most used tools in psychological research. It’s a test of mean differences between groups, but it tests for those mean differences using a “Variance explained” approach. If we assign incoming participants to one of 2 levels...