Categorical and Nonparametric Data Analysis

Regular price €88.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=E. Michael Nussbaum
advanced statistics
ANOVA
applied research
Author_E. Michael Nussbaum
basic statistics
Category=GPS
Category=JMB
Category=KCH
Category=PBT
choosing statistical tests for research
conceptual framework
contingency
contingency tables
continuity
correction
distribution
dummy variables
effect size calculation
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experimental data analysis
fisher scoring
general estimating equations
graduate statistics course
hypothesis
linear regression
log-linear models
logistic regression models
metric variable
nonparametric interaction effects
ordinal data methods
ordinal variable
poisson regression
R
sampling
social science statistics
SPSS
t tests
test
wilcoxon-mann-whitney

Product details

  • ISBN 9780367698157
  • Weight: 1002g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 May 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.

Highlights include the following:
• Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.
• Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.
• Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.
Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.
• Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.

Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.

E. Michael Nussbaum is a Professor of Educational Psychology at The University of Nevada, Las Vegas, USA. Dr. Nussbaum holds a PhD from Stanford University and an MPP from the University of California, Berkeley. He is the author of numerous research publications and serves on the editorial boards of the Journal of Educational Psychology and the Educational Psychologist.

More from this author