Multivariate Analysis

An Application-Oriented Introduction
2. Auflage 2023
ISBN: 978-3-658-40410-9
Verlag: Springer

Medienkombination, Englisch, 609 Seiten, Paperback, Format (B × H): 168 mm x 240 mm, Gewicht: 1031 g

Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods.

For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS.

Contents

- Introduction to empirical data analysis
- Regression analysis
- Analysis of variance
- Discriminant analysis
- Logistic regression
- Contingency analysis
- Factor analysis
- Cluster analysis
- Conjoint analysis

The original German version is now available in its 17th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition.

On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Backhaus, Klaus

Erichson, Bernd

Weiber, Thomas

Gensler, Sonja

Weiber, Rolf

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Introduction to empirical data analysis.- Regression analysis.- Analysis of variance.- Discriminant analysis.- Logistic regression.- Contingency analysis.- Factor analysis.- Cluster analysis.- Conjoint analysis.

Über Autor(innen)

Professor Dr. Dr. h.c. Klaus Backhaus is Director at the Institute of Business-to-Business Marketing, Marketing Center Münster, School of Business and Economics at the University of Münster, Germany. He is an honorary professor at the Technical University of Berlin, Germany.

Professor Dr. Bernd Erichson worked in market research and held the Chair of Marketing at the Otto-von-Guericke-University Magdeburg, Germany.

Professor Dr. Sonja Gensler is extraordinary Professor at the University of Münster, Germany, where she is a member of the Marketing Center Münster.
Professor Dr. Rolf Weiber is Head of the Chair of Marketing and Innovation and Managing Director of the Competence Center E-Business at the University of Trier, Germany.

Dr. Thomas Weiber holds a Ph.D. from WHU, Otto Beisheim School of Management, Koblenz and has been working in different companies on corporate strategy, pricing, sales and marketing topics.