Ordinal regression Part 2: Multiple ordinal regression

This video discusses ordinal logistic regression models with more than one explanatory variable. It also introduces some principles of model selection, including the use of Wald-tests and likelihood ratio tests.
This video (presented by Heini Väisänen) is part of an NCRM Online Resource. To see the full resource (slides, worksheet, data and reading list) visit www.ncrm.ac.uk/resources/online/
Please note: we may be unable to respond to individual questions on this video.
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[@destadereje8016]

Thank you! Clear and cool explanation.

[@JerryMona]

Thank you. Very helpful explanation.

[@hosseinazizi9581]

Very helpful thanks

[@newday8074]

thank you doctor

[@user-ro9kw9zw1p]

Thank you this video was helpful, i want to ask you what should i do if i have more than one dependent variables ( all in likert scale from 1 to 5) ??

[@asianpotato2]

I have this exact problem. Do you mind share with me how you analyse your data? Thank you.

[@cellinietanaga6724]

How do you get the ordinal regression result? How do you transfer the data?

[@sali6989]

can you explain it to me mam the model of ordinal regression why is it assumed to be the same slope and different intercept? I need some minimal theory on this video

[@llshadygal6451]

Could she do a lecture about negative binomial and Poisson regression??

[@riase]

Before I waste my time on this video, can someone confirm that she explains how to do interaction (like in ANOVA) in ordinal regression? Thank you.