R tutorial: Ordinal regression 

Your videos have helped me so much! Wrapping up my masters and you've been a life saver

Thank you very much this video! It's brilliant and it really safed me!!!!

This was super useful for me. I had a research paper a few semesters ago and I decided to go back and fix it. Before, I only used frequency charts but using ordinal regression for my paper helped me better answer my research question. Thanks for the video and the links you provided!

Thanks, I´ll try it with the data!

Hi, this video is super helpful, thank you! I was wondering if you are planning to make a video for ordinal regression with mixed effects (clmm)? Thanks again!

Thank you so much you are a life saver for non-sciencey scientists...

Thank you very much!!!🤩

wooow thank you!!!

what would work for test of parallel lines if you have a clmm model (ordinal logistic with mixed effects)? brant() does not work.

Great video, thank you. I just wonder in minute 12:23 how you know that the estimates are for liking coldplay (so assume category=pay to see them?)? You say here "There was as significant positive association between stupidity and liking Coldplay B=1.38, SE=0.55,...In basic logistic regression it is possible to run "levels" so I know what I am comparing to what, but i dont quite understand how I can see the effect of e.g. stupidity in case of 4 categories on one category? Hope this makes sense.

Hello, Your video helped a lot but I have some problem with my data. I hope someone can help me here, so here is my problem: I try to treat ordinal data as a function of time in order to analyze if there is a significant difference between two different modalities. My dataset consists of 30 readings taken each week in two different modalities. The ordinal data are scores given to individuals according to the abundance of aphids found on them (absence, a little, a lot). I performed a linear regression using the polr function but time is taken into account here as a fixed factor. How can I correctly interpret such a data set. Thank you

Awesome video! I have question regarding comparing models. In the video, you compare the model to a null model. What if I want to compare one model (say with two independent variables) with other model (with three predictor variables). Is that something that I can do to **choose** one model for regression?

Hi Prof. Paul Christiansen. I tried to copy what you did in 5:48 of the video wherein you typed the modelnull and model1 and you performed, "anova(modelnull,model1)." When I performed the anova function in R, this is the error message that prompted, "Error in UseMethod("anova") : no applicable method for 'anova' applied to an object of class "c('double', 'numeric')." Could you please help resolved this error message? Thank you in advance!

What should I do if my likelihood ratio tests of cumulative link models does not have significant p-value (0.7233)? Thank you!

What if only one (out of 9) of our variables doesn't pass brant test (p-value in this test 0.04)? Should we resign from conducting ordinal regression and choose MLR instead or exclude this variable although it's significant in the model (p - value 0.0003) or are there any other ways do deal with that?

thanks for such a useful video. question - does the response variable have to be a factor? I have likert results (1-10) as an integer in my dataset.

good day sir. may I ask for your help

Good day sir, may I ask for your help

ordinal package wont load...

How should this code be cited? Thanks!