Analysis of Categorical Data

Credits: 
2.0
Course Description: 

Much of the data in political science (and the social sciences, in general) are categorical/nominal and overlooking this feature often leads to the application of inappropriate methods of analysis. While categorical data make it possible to reveal more complex association structures than those that may be discovered under the common assumptions of continuous or normal data, the inappropriate methods make fine-tuning of the statistical models impossible. The central theme of the class is interaction among variables, which covers various forms of effects and associations. The use of mathematics will be tailored to the level of the audience.

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