Ordered Regression Models: a Tutorial - Prevention Science Ordinal outcomes are common in the social, behavioral, and health sciences, but there is no commonly accepted approach to analyzing them. Researchers make a number of different seemingly arbitrary rec...

#statstab #410 Ordered Regression Models: a Tutorial

Thoughts: A very comprehensive paper on analysing ordinal data.

#orderedregression #regression #ordinal #tutorial #likert #probit #logit

link.springer.com/article/10.1...

#statstab #405 Best Practices for Estimating, Interpreting, and
Presenting Nonlinear Interaction Effects

Thoughts: Guidance on nonlinear interactions, reporting (probabilities) and visualisations.

#probit #logit #logisticregression #nonlinear #guide

sociologicalscience.com/download/vol...

#statstab #198 Bayesian mixed effects (aka multi-level) ordinal regression models with {brms}

Thoughts: Useful tutorial also for frequentists, as it covers checking multiple links at once in {ordinal}.

#ordinal #brms #clmm #probit #cloglog #r #cauchit

kevinstadler.github.io/notes/bayesi...

Ordinal regression models to analyze Likert scale data Today I am going to present on an alternative way to analyze Likert scale data by using ordinal regression instead of linear regression. But first, why is it even a problem to use linear regression wh...

#statstab #164 Ordinal regression models to analyze Likert scale data

Thoughts: One of the clearest tutorial for ordinal, cumulative (probit) models I've seen. Reports probabilities and expected mean ratinga w/ plots!

#ordinal #brms #likert #probit #r

dibsmethodsmeetings.github.io/ordinal-regr...

Glad to have contributed to this research with colleagues from @mcgillu. Congrats to Asma and Seungmi for leading this work! #PROBIT #childgrowth

x.com/IntJEpidemiol/…