Posts on Dr. Erin Buchanan

Big Team Science Is More Than Bigger Samples: Lessons from Cognitive Science Psychological science has spent the last decade grappling with questions of credibility, reproducibility, and generalizability.

It’s be four years since the last formr update!

Heyo!

Alright folks!

One of the most difficult things I try to teach my students is how to deal with error messages.

An installation guide taken from formr documentation and modified to include more details for those who need it.

You ever have a random text that sent your brain to work?

Hey everybody!

The Year of the Thesis!

In this guide, I’ll go over how you can use web scraping rvest and Selenium to get translations from Google Translate.

Just updated my CV - here’s a few new publications and conferences!

Many thanks to Rutgers University Spanish and Portuguese Department (https://span-port.rutgers.edu/) for asking me to come talk about multilevel models.

Hi guys!

I have happily acquired a new Mac Book (yay!)

Are my intuitions about grades correct?

Hey everybody!

I was tagged today on twitter asking about categorical variables in lavaan.

Hi guys!

Heyo!

Hi everyone!

One more announcement!

Hi everyone!

Heyo!

Just wanted to do a quick post to say that the Nature Human Behavior response paper, Justify Your Alpha is now online at NHB’s website: Springer - it is free to view but not download.

My coauthor John Scofield and I just had a publication accepted at Behavior Research Methods - you can check out the publication preprint at OSF.

Heyo!

For a recent publication comparing null hypothesis testing p-values to Bayes Factors and Observation Oriented Modeling, we created a Shiny app to graph all of our complex plots.

Overview.

Upon arriving at Missouri State University, I founded the Deciphering Outrageous Observations and Modeling (DOOM) lab which has included more than ten graduate and thirty undergraduate students.

The APA Task Force on Statistical Inference (Wilkinson & TFSI, 1999) has advocated the inclusion of effect sizes in journal articles as an important source of information.