Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique eBook

$39.99

. 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.

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About this eTextbook

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. ISBNs for Categorical and Nonparametric Data Analysis are 9781040019115, 1040019110 and the print ISBNs are 9780367702540, 0367702541. Additional ISBNs include 9781040019030, 9781003145264, 9780367698157.

Publication details

Author: E. Michael Nussbaum
Publisher: Routledge
Additional ISBN: 9781040019030, 9781003145264, 9780367698157

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About this eTextbook

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.

Publication details

Author: E. Michael Nussbaum
Publisher: Routledge
Additional ISBN: 9781040019030, 9781003145264, 9780367698157

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.