Estimating and testing GLMs with `emmeans` Apr 13, 2020 This post was written in collaboration with Almog Simchon (@almogsi) and Shachar Hochman (@HochmanShachar). Go follow them. The fictional simplicity of Generalized Linear Models Who doesn’t love GLMs? The ingenious idea of taking a response level variable (e. ...
The Mysterious Case of the Ghost Interaction Oct 30, 2019 This spooky post was written in collaboration with Yoav Kessler (@yoav_kessler) and Naama Yavor (@namivor).. Experimental psychology is moving away from repeated-measures-ANOVAs, and towards linear mixed models (LMM1). LMMs have many advantages over rmANOVA, including (but not limited to): ...
Accounting for Within- AND Between-Subject Effects Oct 21, 2019 This is a comment on Solomon Kurz’s (@SolomonKurz) recent post1 where he discusses how group-level data does not always reflect individual-level processes. I highly recommend reading his series of posts on the topic! ...
(Bootstrapping) Follow-Up Contrasts for Within-Subject ANOVAs (part 2) Aug 14, 2019 A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure ANOVAs. Here is a demo of how to conduct the same bootstrap analysis, more simply.
Signal Detection Theory vs. Logistic Regression Jul 29, 2019 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). ...
(Bootstrapping) Follow-Up Contrasts for Within-Subject ANOVAs May 9, 2019 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 any other assumptions. Naturally you want to run some a-parametric analysis… but how?
Quidditch: Is It All About the Snitch? Nov 25, 2018 What is the probability of winning a Quidditch match without catching the snitch?