Ordinal regression Part 1: Introduction

National Centre for Research Methods (NCRM)

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This video introduced the method and its cumulative nature. It shows a simple example with one explanatory variable to illustrate how the method works and how the results can be interpreted using either cumulative odds or predicted probabilities.
This video is part of an Online Resource created by NCRM. To access the full resource (which includes, worksheet, data, slides and reading list) please 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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Опубликовано:

16 июн 2021

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Комментарии : 11

@dillik.c.9955 Год назад

Excellent lecture on ordinal regression model. I had never watch such lecture before, very simple and precise. Worth watching

@nathansteffens5033 2 года назад

Fantastic video. The best on ordinal regression that I've seen. Thank you.

@llshadygal6451 2 года назад

Great series, This was super helpful!! Look forward to more videos!!

@teresamota5800 Год назад

These series helped me so much with my dissertation. Thank you a lot

@BBkhadka 11 месяцев назад

Thank you so mcuh for insightful lecture series.

@yesodabhargava8776 2 года назад

Great lecture. Thank you so much.

@Jack-zd5ls 2 года назад

Brilliant explanation!

@landersebastian7886 Год назад

Thank you

@manuelleitner3196 Год назад

Hello and thank you for this GREAT video and explanation. I just have one question: what if my ordinal response variable (Y) has more than 3 categories, for example 7. Is the interpretation of the OR the same; like: "For students with educated parents (par =1), the odds of very likely versus all combined other six categories are exp(1.127) = 3.09 greater compared to students with non-educated parents (par=0)"? Or how would the interpretation be? Thank you very much in advance!

@manuelleitner3196 Год назад

aah ok the 2nd part of your video series gives more insight into that problem !!:)

@tamanudghosh4560 10 месяцев назад

Dear Dr. Heini, Could you please share your email id? I need your expert guidance on the sample size calculation for an ordered logistic regression model in the context of my study.