Ordinal regression Part 3: Proportional odds assumption

Väisänen, Heini (2021) Ordinal regression Part 3: Proportional odds assumption. [Video]

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Abstract

In this video, Dr Heini Väisänen talks about the proportional odds assumption when conducting ordinal logistic regression models. She explains what this assumption means and how it can be examined whether that assumption holds. She also uses an example to compare multinomial and ordinal models.

Item Type: Video
Subjects: 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference
5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.1 Probability theory
5. Quantitative Data Handling and Data Analysis > 5.5 Regression Methods
5. Quantitative Data Handling and Data Analysis > 5.5 Regression Methods > 5.5.8 Logistic regression
5. Quantitative Data Handling and Data Analysis > 5.5 Regression Methods > 5.5.16 Ordinal regression
7. ICT and Software > 7.2 Quantitative Software
7. ICT and Software > 7.2 Quantitative Software > 7.2.8 SPSS
7. ICT and Software > 7.2 Quantitative Software > 7.2.9 Stata
Depositing User: NCRM users
Date Deposited: 12 Jan 2022 22:17
Last Modified: 12 Jan 2022 22:17
URI: https://eprints.ncrm.ac.uk/id/eprint/4524

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