Marketing Analytics : Statistical Tools for Marketing and Consumer Behavior Using SPSS book cover
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Marketing Analytics
Statistical Tools for Marketing and Consumer Behavior Using SPSS





ISBN 9781032052199
Published November 2, 2021 by Routledge
210 Pages 163 B/W Illustrations

 
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Book Description

Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis.

Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique that can be used for further reading.

This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques’ applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context.

Table of Contents

1. Creating and examining databases in SPSS  2. Introduction to exploratory data analysis  3. Analysis of variance  4. Regression analysis  5. Time series analysis  6. Discriminant analysis  7. Cluster analysis  8. Exploratory factor analysis (EFA)  9. Confirmatory factor analysis (CFA)  10. Structural equation modelling (SEM)

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Author(s)

Biography

José Marcos Carvalho de Mesquita is Professor of Marketing at FUMEC University, Brazil, and visiting researcher at University of Connecticut, USA.

Erik Kostelijk is Associate Professor of Marketing at the Amsterdam School of International Business of the University of Applied Sciences in Amsterdam, the Netherlands.