Maximum Likelihood for Social Science: Strategies for Analysis (Analytical Methods for Social Research)

The Maximum Likelihood Method in Social Science Research is a comprehensive guide for researchers who want to apply statistical inference in their work.

This book provides practical examples, math, and code to help readers understand how to use likelihood-based tools and generate meaningful interpretations.

The authors focus on applied computation in R and cover standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness.

With a solid foundation in statistical techniques, readers will be able to evaluate and select models, perform model evaluation, and conduct inference using likelihood-based methods.

This book is an essential resource for social science researchers who want to make informed decisions based on data analysis.