Ordinal Regression as a Model for Signal Detection
R
statistics
code
ordinal regression
signal detection theory
I was basically done with this blog post when I came across Matti Vuorre’s post on the same exact topic. Matti goes into all the details, and really the present post can be seen as a brief account of all the cool things the probit-approach-to-SDT can do. I’m…
Everything You Always Wanted to Know About ANOVA*
(*But Were Afraid to Ask)
statistics
R
regression
ANOVA
interactions
linear models
code
glm
Analysis of variance (ANOVA) is a statistical procedure, developed by R. A. Fisher, used to analyze the relationship between a continuous outcome (dependent variable) and…
(What to do) When Predictors Co-Vary
statistics
R
emmeans
code
glm
multicollinearity
assumptions
Co-varying predictors can be a messy business. They make estimates unstable, reducing our statistical power and making interpretation more difficult. In…
The Mysterious Case of the Ghost Interaction
R
statistics
ANOVA
code
linear mixed models
This spooky post was written in collaboration with Yoav Kessler (@yoav_kessler) and Naama Yavor (@namivor)..
Accounting for Within- AND Between-Subject Effects
statistics
mixed-design
code
linear models
This is a comment on Solomon Kurz’s (@SolomonKurz) recent post1 where he discusses how group-level…
(Bootstrapping) Follow-Up Contrasts for Within-Subject ANOVAs (part 2)
R
statistics
ANOVA
bootstrap
code
mixed-design
permutation
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 same bootstrap analysis, more simply (no need to make…
Signal Detection Theory vs. Logistic Regression
R
statistics
code
logistic regression
signal detection theory
I recently came across a paper that explained the equality between the parameters of signal detection theory…
(Bootstrapping) Follow-Up Contrasts for Within-Subject ANOVAs
R
statistics
ANOVA
bootstrap
code
mixed-design
permutation
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…
Examining Inter-Rater Reliability in a Reality Baking Show
R
statistics
code
reliability
test theory
Game of Chefs is an Israeli reality cooking competition show, where chefs compete for the…
Common Practice (misuse of) Moderation in Regression
statistics
assumptions
interactions
linear models
moderation
regression
… or how I stopped trusting standardized coefficients.
What ARE the Assumptions of Linear Regression?
statistics
assumptions
linear models
regression
When you assume,
you make an ass out of you and me.
you make an ass out of you and me.
Testing the Bottleneck Account for Post-Error Slowing Beyond the Post-Error Response
publications
Post-error slowing (PES)
In our recent paper, Testing the Bottleneck Account for Post-Error Slowing Beyond the Post-Error Response, soon to be published in Biological Psychology1, we examined whether post-error slowing (PES) can be explained as resulting from depleted cognitive resources caused by…
cheatR: an R package for catching cheaters
R
academia
code
plagiarism
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…
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