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Learn about ordered logit in R with data from the Cooperative Congressional Election Study (2012) / The Odum Institute

Published
London : SAGE Publications, 2016.
Physical Description
1 online resource : illustrations (colour)
Additional Creators
The Odum Institute
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Summary
This dataset example introduces readers to ordered logit. This technique allows researchers to evaluate whether a categorical variable with three or more categories that follow some order is a function of one or more independent variables. The ordered logit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2012 Cooperative Congressional Election Study (CCES). It presents an analysis of whether survey respondents agree or disagree with the following statement: 'Generations of slavery and discrimination have created conditions that make it difficult for Blacks to work their way out of the lower class.' This is measured on a 5-point scale from Strongly Agree to Strongly Disagree. An analysis like this allows researchers to evaluate public sentiment for possible changes in policies dealing with race and discrimination.
Subject(s)
ISBN
9781473961883 (online resource)
Audience Notes
Specialized.
Bibliography Note
Includes bibliographical references.
View MARC record | catkey: 47374769