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- Ordered_logit abstract "In statistics, the ordered logit model (also ordered logistic regression or proportional odds model), is a regression model for ordinal dependent variables. For example, if one question on a survey is to be answered by a choice among "poor", "fair", "good", "very good", and "excellent", and the purpose of the analysis is to see how well that response can be predicted by the responses to other questions, some of which may be quantitative, then ordered logistic regression may be used. It can be thought of as an extension of the logistic regression model that applies to dichotomous dependent variables, allowing for more than two (ordered) response categories.".
- Ordered_logit wikiPageID "3768065".
- Ordered_logit wikiPageRevisionID "604374437".
- Ordered_logit hasPhotoCollection Ordered_logit.
- Ordered_logit subject Category:Categorical_data.
- Ordered_logit subject Category:Regression_analysis.
- Ordered_logit type Abstraction100002137.
- Ordered_logit type CategoricalData.
- Ordered_logit type Cognition100023271.
- Ordered_logit type Datum105816622.
- Ordered_logit type Information105816287.
- Ordered_logit type PsychologicalFeature100023100.
- Ordered_logit comment "In statistics, the ordered logit model (also ordered logistic regression or proportional odds model), is a regression model for ordinal dependent variables. For example, if one question on a survey is to be answered by a choice among "poor", "fair", "good", "very good", and "excellent", and the purpose of the analysis is to see how well that response can be predicted by the responses to other questions, some of which may be quantitative, then ordered logistic regression may be used.".
- Ordered_logit label "Ordered logit".
- Ordered_logit sameAs m.09zzgg.
- Ordered_logit sameAs Q7100713.
- Ordered_logit sameAs Q7100713.
- Ordered_logit sameAs Ordered_logit.
- Ordered_logit wasDerivedFrom Ordered_logit?oldid=604374437.
- Ordered_logit isPrimaryTopicOf Ordered_logit.