Advanced and Multivariate Statistical Methods
Practical Application and Interpretation
8th Edition
Published on 16. September 2025
Book
Hardback
338 pages
978-1-032-91296-7 (ISBN)
Description
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.
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.
More details
Edition
8th edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
38 s/w Abbildungen, 226 farbige Abbildungen, 38 s/w Photographien bzw. Rasterbilder, 223 Farbfotos bzw. farbige Rasterbilder, 3 farbige Zeichnungen, 39 s/w Tabellen
39 Tables, black and white; 3 Line drawings, color; 223 Halftones, color; 38 Halftones, black and white; 226 Illustrations, color; 38 Illustrations, black and white
Dimensions
Height: 280 mm
Width: 210 mm
Weight
810 gr
ISBN-13
978-1-032-91296-7 (9781032912967)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Craig A. Mertler | Rachel A. Vannatta | Kristina N. LaVenia
Advanced and Multivariate Statistical Methods
Practical Application and Interpretation
E-Book
09/2025
8th Edition
Routledge
€191.99
Available for download
Craig A. Mertler | Rachel A. Vannatta | Kristina N. LaVenia
Advanced and Multivariate Statistical Methods
Practical Application and Interpretation
E-Book
09/2025
8th Edition
Routledge
€191.99
Available for download
Craig A. Mertler | Rachel A. Vannatta | Kristina N. LaVenia
Advanced and Multivariate Statistical Methods
Practical Application and Interpretation
Book
09/2025
8th Edition
Routledge
€225.10
Shipment within 10-20 days
Previous edition
Craig A. Mertler | Rachel A. Vannatta | Kristina N. LaVenia
Advanced and Multivariate Statistical Methods
Practical Application and Interpretation
Book
11/2021
7th Edition
Routledge
€458.05
Shipment within 15-20 days
Persons
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.
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.
Content
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