Assessing practical significance of the proportional odds assumption

Ji-Hyun Kim

Statistics & Probability Letters, 2003, vol. 65, issue 3, 233-239

Abstract: 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.

Keywords: Ordinal; response; Logistic; regression; Graphical; methods (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (12)

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