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Ordinal Regression/Evidence
Method evidence record

Ordinal Regression

Ordinal logistic regression models an ordered categorical outcome — such as a Likert rating, a satisfaction level, or an education tier — as a function of predictors. It is the ordinal extension of logistic regression, developed in standard treatments such as Agresti's Analysis of Ordinal Categorical Data (2010), and in its most common form it is the proportional odds model.

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Source record

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Ordinal Logistic Regression (Proportional Odds Model)
Taxonomic method record · regression-model / statistics
  • Agresti, A. (2010). Analysis of Ordinal Categorical Data (2nd ed.). Wiley. · DOI 10.1002/9780470594001
  • Long, J. S. (1997). Regression Models for Categorical and Limited Dependent Variables. Sage. · ISBN 978-0803973749
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Related methods

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Used in the same domainLatent Class Analysismachine-suggested · Relational suggestion, not evidence.See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyMultinomial Logistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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