#statstab #410 Ordered Regression Models: a Tutorial

Thoughts: A very comprehensive paper on analysing ordinal data.

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

https://link.springer.com/article/10.1007/s11121-021-01302-y

#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

https://sociologicalscience.com/download/vol-6/february/SocSci_v6_81to117.pdf

#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

https://kevinstadler.github.io/notes/bayesian-ordinal-regression-with-random-effects-using-brms/

#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

https://dibsmethodsmeetings.github.io/ordinal-regression/

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