1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs for cases where you data violates some / any assumptions. Here is a demo of how to conduct the ...

I recently came across a paper that explained the equality between the parameters of signal detection theory (SDT) and the parameters of logistic regression in which the state (“absent”/“present”) is used to predict the response (“yes”/“no”, but also applicable in scale-rating designs) (DeCarlo, 1998). Here is a short simulation-proof ...

Permutation ANOVA Bootstrapping with car and emmeans 1. Make your data WIIIIIIIIIIDEEEEEEEE 2. Fit your regular model 3. Define the contrast(s) of interest 4. Run the bootstrap Summary So you’ve run a repeated-measures ANOVA and found that your residuals are neither normally distributed, nor homogeneous, or that you are in violation of ...

Permutation ANOVA Bootstrapping with car and emmeans 1. Make your data WIIIIIIIIIIDEEEEEEEE 2. Fit your regular model 3. Define the contrast(s) of interest 4. Run the bootstrap Summary So you’ve run a repeated-measures ANOVA and found that your residuals are neither normally distributed, nor homogeneous, or that you are in violation of ...

cheatR is a mini package to help you find cheaters by comparing hand-ins. It was developed by Almog Simchon and me in response to students overheard bragging about how an assignment in an first-year undergrad course was “super easy” because “we all just copied from each other!” (though this would ...