Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique
E. Michael Nussbaum
Featuring in-depth coverage of categorical 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 book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful 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 from 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.
Kategorie:
Rok:
2014
Wydanie:
1
Wydawnictwo:
Routledge
Język:
english
Strony:
528
ISBN 10:
1848726031
ISBN 13:
9781848726031
Plik:
PDF, 5.86 MB
IPFS:
,
english, 2014