Advanced and Multivariate Statistical Methods

Practical Application and Interpretation

Craig A. Mertler, Rachel A. Vannatta, Kristina N. LaVenia

• Publisher: Routledge
• Year: 2025
• eBook ISBN: 9781040404201
• Edition: 0
• Topic: Psychology
• Subtopic: Social Science Research & Methodology
• Index: Psychology

Advanced and Multivariate Statistical Methods, Eighth Edition, offers conceptual and practical insights into multivariate statistical techniques, designed for students without requiring deep technical or mathematical expertise.

This updated text facilitates conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. It equips students with the tools to critically evaluate research articles that utilize these techniques and prepares graduate students to apply multivariate methods in analyzing their own quantitative data or that of their institutions.

This new edition has resources for instructors and students, including an online test bank, downloadable data sets, and "how to" videos of the SPSS procedures, available via the companion website (www.routledge.com/cw/mertler) and signposted throughout the book for easy reference. A brief discussion of practical significance has also been added to Chapter 1.

This book is tailored for students taking a multivariate statistics course in graduate programs across a range of fields, including psychology, education, sociology, criminal justice, social work, mass communication, and nursing.

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• Acknowledgments
• 1 Introduction to Multivariate Statistics
• 2 A Guide to Multivariate Techniques
• 3 Pre-Analysis Data Screening
• 4 Factorial Analysis of Variance
• 5 Analysis of Covariance
• 6 Multivariate Analysis of Variance and Covariance
• 7 Multiple Regression
• 8 Factor Analysis
• 9 Discriminant Analysis
• 10 Binary Logistic Regression
• Appendix A: SPSS Data Sets
• Appendix B: The Chi-Square Distribution
• References
• Index