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Advanced and Multivariate Statistical Methods

DOI link for Advanced and Multivariate Statistical Methods

Advanced and Multivariate Statistical Methods book

Practical Application and Interpretation

Advanced and Multivariate Statistical Methods

DOI link for Advanced and Multivariate Statistical Methods

Advanced and Multivariate Statistical Methods book

Practical Application and Interpretation
ByCraig A. Mertler, Rachel Vannatta Reinhart
Edition 6th Edition
First Published 2016
eBook Published 24 October 2016
Pub. location New York
Imprint Routledge
DOI https://doi.org/10.4324/9781315266978
Pages 390 pages
eBook ISBN 9781315266978
SubjectsBehavioral Sciences, Research Methods
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Mertler, C., Vannatta Reinhart, R. (2017). Advanced and Multivariate Statistical Methods. New York: Routledge, https://doi.org/10.4324/9781315266978

Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software.

New to the Sixth Edition

  • Instructor ancillaries are now available with the sixth edition.
  • All SPSS directions and screenshots have been updated to Version 23 of the software.
  • Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction.
  • Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

TABLE OF CONTENTS

chapter 1|12 pages

Introduction to Multivariate Statistics

chapter 2|14 pages

A Guide to Multivariate Techniques

chapter 3|44 pages

Pre-Analysis Data Screening

chapter 4|28 pages

Factorial Analysis of Variance

chapter 5|26 pages

Analysis of Covariance

chapter 6|44 pages

Multivariate Analysis of Variance and Covariance

chapter 7|34 pages

Multiple Regression

chapter 8|44 pages

Path Analysis

chapter 9|32 pages

Factor Analysis

chapter 10|28 pages

Discriminant Analysis

chapter 11|20 pages

Logistic Regression

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