Advanced and Multivariate Statistical Methods: Practical Application and Interpretation

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

Overview

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.

Product Details

ISBN-13:	9781032890500
Publisher:	Taylor & Francis
Publication date:	09/16/2025
Edition description:	8th ed.
Pages:	352
Product dimensions:	8.25(w) x 11.00(h) x (d)

About the Author

Craig A. Mertler is Professor of Action Research and Quantitative Methods at Barry University, USA. He teaches courses focused on the application of action research in educational settings and also teaches research methods, statistical analyses, and quantitative approaches to research. He has served as the research methodology expert on more than 140 dissertations and theses.

Rachel A. Vannatta is Distinguished Teaching Professor of Educational Assessment, Research and Statistics at Bowling Green State University, USA. In her more than 25 years in higher education, she has focused on creating more accessible and relatable statistics content.

Kristina N. LaVenia is Senior Lecturer at the University of Canterbury, NZ. She teaches courses on research methods, data analysis, program evaluation, and leadership for adult development. In her role as faculty member, she works closely with doctoral students to provide support for their dissertation research. Her background as a school counselor informs her educational research and leadership preparation work.

Table of Contents

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