Assessing practical significance of the proportional odds assumption
The proportional odds model is a popular regression model for ordinal categorical responses, which has a rather strong underlying assumption, the proportional odds assumption. The rejection of the null assumption, however, is not very informative since a statistical significance does not necessarily imply a practical significance. This paper proposes a graphical method for assessing the practical significance of the assumption.
Year of publication: |
2003
|
---|---|
Authors: | Kim, Ji-Hyun |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 65.2003, 3, p. 233-239
|
Publisher: |
Elsevier |
Keywords: | Ordinal response Logistic regression Graphical methods |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Financial productivity issues of offshore and “Made-in-USA” through reshoring
Yu, Ui-Jeen, (2018)
-
Conditional bootstrap methods for censored data
Kim, Ji-Hyun,
-
Government roles in evaluation and arrangement of R&D consortia
Kim, Ji-hyun, (2014)
- More ...