Check out the 'Quantitative Methods Workshop Series' at YorkU for reasonably priced online statistics workshops. Intro/Intermediate R, jamovi, LLMs for Research, Bayes in JASP. Please RT.

Inferential model fit tests for SEM are so nice that we did it twice! @rcribbie and I developed an equivalence testing based version of SRMR: https://t.co/40BTyOYbZK with an R function available now on the negligible package!

Are you considering applying to graduate school but unsure where to start? The Decolonizing, Equity, Diversity, and Inclusion (DEDI) committee in psychology at York University is inviting you to an informative event to help you navigate the grad school app process with ease.

Are you looking for reasonably priced Statistics workshops? Check out the 'Quantitative Methods Workshop Series' at York University. 'Survival Analysis' workshop starts in one week! Please RT!

The Government of Ontario announced in today’s provincial budget the intention to invest in a new York University School of Medicine. This is a remarkable milestone and opportunity to amplify our positive impact by creating better health equity. Read more: https://t.co/Xadw9jYEHy

So excited to welcome Victoria Celio to the Robust Statistics lab!! She will be starting her MA in Quantitative Methods for Psychology in the fall, but already feels like a graduate student within the department. @YorkUPsyc @cpa_qm

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

Final QMWS workshop of the fall! Online! “Analyzing Data with R: How Much do my Findings Depend on my Analytical Decisions?”. Wed Nov 22, 11:30-2:30. $15. Learn how to automate data cleaning within R. See

Pls RT! York University's Quantitative Methods Workshop Series is happening again this fall! Factor Analysis, Mixed Effects Models, Data Management in R, etc. See

Hey there! If you’re interested in the social sciences (ψpsychologyψ, education, etc.) and statistics, and are thinking about graduate school in 🇨🇦Canada🇨🇦, don’t miss our quant methods (virtual) info event! Save the date! This coming Fri, Oct 20th!

Pls RT! The Quantitative Methods area of the Department of Psychology at York University is hosting another Workshop Series this semester! Factor Analysis, Mixed Effects Models, Data Management in R, etc. See

Are you looking for a better inferential test for model fit in SEM? Equivalence testing based versions of RMSEA and CFI might be what you are looking for: https://t.co/i7K1QPzzCH So proud of @natalyberibisky for all her great work on this paper!

Are you an undergrad who is quant curious?!? Join us next week! Please retweet! https://t.co/kLUAudt30X

I am very excited to be teaching a 4th year 'Seminar in Statistics' for Psychology students in the fall. The course was designed years ago, but has never been taught. If anyone has taught something similar, or has any thoughts on topics to include, please let me know.

See original tweet below. Anyone have tips on searching for articles with a particular analysis strategy (e.g., SEM) and open data? Would be great for teaching examples and research article examples using real data.

Congratulations Nataly ... a very well deserved honour!

Really looking forward to this one ...

Pls RT! The Quantitative Methods area of the Department of Psychology at York University is hosting another Workshop Series this semester! Data Scraping, Power in SEM, Regression, Machine Learning, Intro R/SPSS, etc. See

The QM area of the Psych Dep't at York 'escaped' at 'Trapped in Vaughan' 😃

I always tell researchers to 'interpret the magnitude of effect sizes by considering the context of the research'. But my list of examples of context is very limited. What contextual factors can be used, in Psychology or elsewhere, when interpreting effect size magnitude?