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!
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.
Excellent lecture on ordinal regression model. I had never watch such lecture before, very simple and precise. Worth watching
Fantastic video. The best on ordinal regression that I've seen. Thank you.
These series helped me so much with my dissertation. Thank you a lot
Great series, This was super helpful!! Look forward to more videos!!
Thank you so mcuh for insightful lecture series.
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!
aah ok the 2nd part of your video series gives more insight into that problem !!:)
Brilliant explanation!
Great lecture. Thank you so much.
Thank you
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.