#statstab #461 Interpreting Ordinal and Disordinal interactions
Thoughts: Interactions are not simple things. Their shape can determine many things (including sample size and effect size)
#design #ANOVA #interaction #effectsize #ordinal #crossover
https://www.jolley-mitchell.com/Appendix/WebAppOrdinalInteraction/WebAppOrdinalInteractions.htm
#statstab #444 {popower}: Power and Sample Size for Ordinal Response
Thoughts: Not the most intuitive but useful if you know the DGP will use ordinal data.
#statstab #420 {misty} item.alpha: Coefficient Alpha, Hierarchical Alpha, and Ordinal Alpha
Thoughts: If #419 and #418 made you consider reporting ordinal alpha, here is a package to do it
#ordinal #likert #reliability #psychometrics #mesurement #rstats
https://www.rdocumentation.org/packages/misty/versions/0.7.4/topics/item.alpha
#statstab #419 A Measurement Is a Choice and Stevensβ Scales of Measurement Do Not Help Make It: A Response to Chalmers
Thoughts: #418 convincing for not adopting ordinal Ξ±? This rebuttal may change your mind
#ordinal #likert #mesurement #psychometrics #cronbachalpha #reliability #testtheory #CTT #scales #debate #rebuttal
#statstab #418 On Misconceptions and the Limited Usefulness of Ordinal Alpha
Thoughts: Ordinal Ξ± seemed cool. Then I read this paper. Takeaway: methods need good peer review and debate.
#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 #404 {latent2likert} simulate Likert response variables from hypothetical latent variables
Thoughts: Most of psych is Likert type data. This R pkg can help simulate effects and check model fit.
#likert #ordinal #r #latent #simulation #data
https://latent2likert.lalovic.io/articles/using_latent2likert
'Uplift Model Evaluation with Ordinal Dominance Graphs', by Brecht Verbeken, Marie-Anne Guerry, Wouter Verbeke, Sam Verboven.
http://jmlr.org/papers/v26/22-1455.html
#ranking #ordinal #uplift
#statstab #282 Plotting ordinal logistic predicted effects on latent scale of ordinal outcome {ggeffects}
Thoughts: An interesting discussion on plotting ordinal data on the latent scale or probability scale.
#statstab #258 What's wrong with rating scales?
Thoughts: A scathing review of "scales" in Psychology. But, can be a useful paper for students to get a sense of experiment and survey design, and #psychometrics.
#measurement #psychology #scales #ordinal #likert #validity #language #personality #replication
https://compass.onlinelibrary.wiley.com/doi/10.1111/spc3.12740
#statstab #257 Permutation tests are robust and powerful at 0.5% and 5% significance levels
Thoughts: Permutation tests are cool and useful to learn, although they come with some quirks.
#permutation #randomization #ttest #ordinal #metricdata
https://link.springer.com/article/10.3758/s13428-021-01595-5
#statstab #210 Effect Sizes for ANOVAs {effectsize}
Thoughts: ANOVAs are rarely what ppl want to report, but if it is then report an effect size! Just mind the % for the CIs π
#ANOVA #effectsize #APA #reporting #nonparametric #eta2 #ordinal
https://easystats.github.io/effectsize/articles/anovaES.html
#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/
nice take in 2 1/2 open acccess pages,
wrt #philosophers were well advised to not limiting the scope of their attention to #cardinal #numbers when referring to the #math #infinite. equally important [besides #ordering #structures and especially #ordinal #numbers] are e.g. #measures on #infinite #Booelan #lattices [#probability only a special case of these]
https://link.springer.com/article/10.1007/s10670-022-00643-6
#statstab #161 Ridit scores for analysis and interpretation of ordinal (pain) data
Thoughts: A less well-known ordinal analysis. Ridits are scale and integer invariant, and provide effect magnitude comparisons.
#ordinal #ridits #statistics #probability
https://www.sciencedirect.com/science/article/abs/pii/S1090380198900180
#statstab #160 Is the difference between two ordinal variables ordinal?
Thoughts: Yes. No. Maybe. Can you repeat the question? Some big names in stats are in the thread providing insightful replies. I'm undecided.
#statstab #155 Power & Sample Size calculations for ordinal data {Hmisc}
Thoughts: An appropriate sample size is just as important as an appropriate (ordinal) analysis. Nice guide for a 2-group design with a Likert-type DV.
