Marketing analytics: statistical tools for marketing and consumer behaviour using SPSS

By:

Carvalho de Mesquita, Jose Marcos

Contributor(s):

Kostelijk, Erik

Material type: Text

TextPublication details: Routledge New York 2022Description: ix, 200 pISBN:

9781032052199

Subject(s):

DDC classification:

658.8342 CAR

Summary: 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.

List(s) this item appears in: Operation & quantitative Techniques | Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.8342 CAR (Browse shelf(Opens below))	1	Available		003966

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Previous	658.816 VOH Principles of pricing: an analytical approach	658.816 VOH Principles of pricing: an analytical approach	658.81605 RAO Advanced introduction to pricing strategy and analytics	658.8342 CAR Marketing analytics:	658.87 GUS Retailing logistics and fresh food packaging: managing change in the supply chain	658.872 ISE Social media for small business: marketing strategies for business owners	658.872 SCH E-commerce operations management	Next

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)

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.

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