If you want to learn multilevel modelling but don't know where to start, @JkayFlake and I have created the website for you: https://t.co/cMo2JCKwgU A brief summary of the materials and the impetus for them: (1/6)

Logistic MLMs are often described as "simple extensions" of linear ones, but the first step, calculating the ICC, is way more complicated! Sean noticed this when taking my class and ultimately developed a tutorial with example data and code. I learned a lot, I hope you do too!

I'm looking to catch errors in a simulation study in R and then continue the loop. Does anyone have a preferred way to do that? e.g. if normal behaviour is 3+x and the result is added to a data frame, if x is a character and an error results I want that row in the df to be NA.

Been loving the causal inference resources for R at this site. Good breadth of coverage for people looking for something a little more hands-on than most of the resources I find. https://t.co/kuqsSPgyZo

Pls RT! York University's Winter Quantitative Methods Workshop Series starts next week! E.g., Intro to jamovi, Intro to LaTeX/Overleaf, Regression/Path Analysis, Visualizing Linear Models. See

Anyone have experience using the STM API with #python requests? I'm trying to get real-time bus data and it's returning as protobuf, which I'm then having trouble converting to a human-readable format.

🚨 I'm excited to release the 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 📦 for #RStats ! Convert R dataframes to beautiful tables in HTML, LaTeX, PDF, Quarto, Markdown, etc. Easy to learn; minimalist interface; concise syntax; ultra-customizable tables; and zero dependency. 🧵 https://t.co/CDcF9BCqzX

📣A second edition of our Introduction to #DataScience is on its way, now split into two books. After teaching the course this semester, we've made significant improvements. Current drafts are online: 📘Intro: https://t.co/8DaGbDP4nq 📙Advanced: https://t.co/boveOOXb5Q #rstats

This year I'll be conducting a simulation study in R. I've run sims before, but this time want to focus on improving my software development skills at the same time, keeping everything neat & organized. Does anyone have any recommended resources? #rstats

A decade of open-science and science reform, replications are much more mainstream now, right? Wrong. See Beth's preprint below. My summary slide is attached (Beth's sent by Simine). Have we improved? maybe, not by much. Sometimes feels like 1 step forward 2 backwards 👇

https://t.co/F6XvKeaSWk

extraordinary least squares

Excited to share my MA thesis! I asked if Erin O'Toole persuaded Conservatives about carbon pricing. The answer is complicated. A thread /1

Every year I read a lot of grad school applications from accomplished people that don't give me the info I'm looking for. It feels like a major hidden curriculum thing. So here's (my opinion on) how to write a great Statement of Purpose/Research for a PhD program. 🧵 1/

I'm excited to announce that I'll be recruiting a PhD student for the social psychology PhD program at the University of Michigan @um_psychology for 2024! Please share with any students interested in research on poverty, inequality, culture, and intervention/ behavioral science.

We just updated our large database of PhD fellowships. For each of the 190 entries, we provide description of the fellowship, link, amount, deadline, and eligibility criteria (e.g. citizenship). Downlonad this database here: https://t.co/1h76jJaHOv

I just got an email from an interested PhD applicant asking about what else they can be doing to prepare. I ended up drafting up (what I think is) a nice recommendation for starting to learn Monte Carlo Sims. A 🧵... (1/7)

Mixed effect model Mixed effect model applications theory

Running a multiverse analysis is good for understanding analytical flexibility, but can come with a lot of analytical headaches. Great paper outlining software to make it easier:

This is actually how "confidence intervals" work in statistics. I'm being 100% serious. Read on. This is a really fun concept. https://t.co/apXLGQjvXO

2023: HBO Launches Max 2024: HBO Launches Min 2025: HBO Launches Mean 2026: HBO Launches Median 2027: HBO Launches Standard Deviation 2028: HBO Launches Interquartile Range 2029: HBO Launches Regression to the Mean