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Ordinal logistic regression
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This page was translated from the Dutch-language original using AI and has not been fully reviewed. Where the two differ, the Dutch version takes precedence.
An ordinal logistic regression model is used to analyze the effect of predictors on an ordinal categorical outcome measure. The outcome measure therefore consists of (more than two) categories that have a logical ordering. For example, if the result of a test is scored as 'normal', 'mildly abnormal' or 'abnormal'.
Where do I find ordinal logistic regression in SPSS?
You will find ordinal logistic regression in SPSS under Analyze -> Regression -> Ordinal. See, for example, this annotated output from UCLA for an explanation of how to interpret the output of this procedure.
How do I perform ordinal logistic regression in R?
In R you can, for example, use the function 'lrm' in the package 'Design' to perform a multinomial logistic regression.
References
Back to OVERVIEW for an overview of all statistical topics on this wiki.
Back to SELECTION GUIDE for help finding a suitable test or analysis.