E Michael Nussbaum

Categorical and Nonparametric Data Analysis

Choosing the Best Statistical Technique

• Broschiertes Buch

Produktbeschreibung

Featuring detailed coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the appropriate type of test in various research scenarios. The assumptions of each test and the factors that impact validity and statistical power are reviewed. Each chapter features clear explanations, Exploring the Concept boxes and questions, examples from the behavioral and social sciences that demonstrate varied applications, how to use the tests in SPSS & EXCEL, and problems to test understanding. The website features datasets and more. The book appeals to advanced students and researchers in these disciplines. Prerequisites include t-tests and ANOVA.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 506
• Erscheinungstermin: 29. Juli 2014
• Englisch
• Abmessung: 249mm x 178mm x 30mm
• Gewicht: 953g
• ISBN-13: 9781138787827
• ISBN-10: 1138787825
• Artikelnr.: 40557773

Autorenporträt

E. Michael Nussbaum is a professor of educational psychology at the University of Nevada, Las Vegas.

Inhaltsangabe

1. Levels of Measurement, Probability, and the Binomial Formula 2.
Estimation and Hypothesis Testing 3. Random Variables and Probability
Distributions 4. Contingency Tables: The Chi-Square Test and Associated
Effect Sizes 5. Contingency Tables: Special Situations 6. Basic
Nonparametric Tests for Ordinal Data 7. Nonparametric Tests for Multiple or
Related Samples 8. Advanced Rank Tests (for Interactions and Robust ANOVA)
9. Linear Regression and Generalized Linear Models 10. Binary Logistic
Regression 11. Multinomial Logistic, Ordinal, & Poisson Regression 12.
Loglinear Analysis 13. General Estimating Equations 14. Estimation
Procedures 15. Choosing the Best Statistical Technique. Answers to Odd
Numbered Problems