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Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

This is a short introduction to Maximum Likelihood (ML) Estimation. It provides a general modeling framework that utilizes the tools of ML methods to outline a

DIVArgues that likelihood theory is a unifying approach to statistical modeling in political science /div

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likeli

Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of deri