Ordinal logistic regression in SPSS: Proportional odds model (August 2021)
HTML-код
- Опубликовано: 16 авг 2021
- This video demonstrates how to perform an ordinal logistic / proportional odds regression in SPSS and provides an overview of how to interpret results from an analysis.
Download a copy of the SPSS data file here: drive.google.com/file/d/1wryH...
Download a copy of the Powerpoint referenced in the video here:
drive.google.com/file/d/1gjCm...
Awesome video, thank you for putting this together and sharing it on the web!
To be frank to you I really appreciate the way you interpret the result, and I am getting very useful information in my job. Keep it up.
Thank you very much. I'm glad you found this helpful! Cheers!
Much appreciate your video, Dr.Mike.
Fantastic video Mike, have been using your videos on ordinal regression to complete my thesis. Thanks for your work. Really helped me get the paper over the finish line.
You are very welcome! I'm so glad this was helpful to you!
Great, thanks man!
Thank you very much for sharing this video. :)
This was very helpful!
Very good explanation! Thanks! :-))
This is awesome, thanks a lot!
Thanks alot for this video
Excelent, Thanks!
wow great explanation.. thanks a lot..
You are most welcome!
@@mikecrowson2462 sir, can we use any ordinal data in the covariate box?
Thanks so much Mike. I testify that you videos are highly informative and illustrative in general. Are there any graphs or charts to depict ordinal regression data?
Thank you
Hi Mike, thanks for the video. But I have a question. You put "Polviews" and "Degree" in the covariates box for the regression, but aren't they Factors? I know you said they are basically scale variables, but I just don't know if I have to treat my dependent variables that are mostly Likert-type scale (i.e. 1 to 5 from most satisfied to most dissatisfied) as covariates or factors.
Thank you so much Dr Crowson, this video is really helping me out in understanding the ordinal logistic regression. I am however wondering about the "Warning sign" in the first calculation (PLUM) as i am also getting that warning about missing cells in my analysis. If i believe that in the population it is not weird that not all predictor values has a "corresponding value" in the DV, can i just ignore this warning? If not, how can i do to compensate for this so that my estimates is not calculated wrong. I have tried data reduction procedures such as collapsing the predictor variables.
Best wishes
Jerry Norlin - Dalarna university, Sweden
Hi Dr. Mike! Is it permissible for variable with ordinal scale to be placed on covariate than in factors?
Hi...Is it possible to get the link for this study if it's published?
Helpful Video, Thank you dr. Crowson.
Still, I am confused about the difference between factors and covariates. Could you please provide me with a reliable link or reference about that?
Please let me know when you get the answer to this
Covariates - numerical, factors - factors. Note that if you have a binary variable, i.e. sex, it can be treated as a covariate.
Is it possible to run hierarchical ordinal regression on SPSS? If yes, then how?
I wonder that the dependent variable is qualitative ordinal but in measurement is has been measured like a quantitative (scale sign instead of ordinal or nominal). can you please explain. thanks
good presentation. Not able to download the material. Dear Mike can you permit the access
Hi Gollagari, thanks for your comment. I think I've fixed the issue now. You should be able to download the file.
drive.google.com/file/d/1gjCmkb_ejPZVTbyB-7B-uyxaRP3ZAbHu/view?usp=sharing
thank you sir,,,i want to anlasis using ordinal logistic regression,,but i am new to this analysis tool at all.any one may help me please