Hypothesis Testing and Model Selection in the Social Sciences

Hypothesis Testing and Model Selection in the Social Sciences offers 202 pages of author David L. Weakliem's, PhD, thoughts on statistical methods for model selection. As a professor of Sociology at the University of Connecticut and a past fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford University and at the Australian National University, Weakliem provides knowledgeable guidance on existing thinking and methods of applied quantitative research for social scientists.

The book starts off with a summary of conventional and alternative procedures of hypothesis testing and then goes on to discuss model selection. Criticisms of hypothesis testing follow along with a discussion of the classical approach, Bayesian Hypothesis tests, the Akaike Information Criterion and three-way decisions. Separate chapters on model selection and hypothesis tests are found near the end. Real life examples are found throughout the book and recommendations for practice are offered.

A companion website supplies data and syntax files for examples found in the book.

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