Categorical and nonparametric data analysis : choosing the best statistical technique Featuring in depth coverage and nonparametric statistics this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada the books clear explanations of the underlying assumptions computer simulations and Exploring the Concept boxes help reduce readers anxiety. Problems inspired by actual studies provide illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples form psychology education and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage