
Statistics for Marketing and Consumer Research
Mario Mazzocchi(Author)
SAGE Publications Inc (Publisher)
1st Edition
Published on 22. May 2008
Book
Paperback/Softback
432 pages
978-1-4129-1122-1 (ISBN)
Description
Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied.
The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including:
- 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots)
- 136 multiple choice questions for tests
This is augmented by in-depth discussion of topics including:
- Sampling
- Data management and statistical packages
- Hypothesis testing
- Cluster analysis
- Structural equation modelling
The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including:
- 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots)
- 136 multiple choice questions for tests
This is augmented by in-depth discussion of topics including:
- Sampling
- Data management and statistical packages
- Hypothesis testing
- Cluster analysis
- Structural equation modelling
More details
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 23 mm
Weight
744 gr
ISBN-13
978-1-4129-1122-1 (9781412911221)
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
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Statistics for Marketing and Consumer Research
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1st Edition
SAGE Publications Ltd
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Statistics for Marketing and Consumer Research
Book
05/2008
1st Edition
SAGE Publications Inc
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Mario Mazzocchi
Statistics for Marketing and Consumer Research
E-Book
05/2008
1st Edition
SAGE Publications Ltd
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Available for download
Person
Mario Mazzocchi is Associate Professor in Statistics and Economics at the Department of Statistical Sciences of the University of Bologna. He is also Visiting Research Fellow at the University of Reading, where he has previously served as a lecturer in Applied Economics and Consumer Behaviour. He is currently a consultant to FAO on nutrition policies, and has been appointed by the European Commission as a permanent member of the group of experts on the evaluation of the EU School Fruit Scheme. He is Associate Editor of the journal Food Policy. He has led research teams of the University of Bologna in four EC-funded research projects. He has published two books(Fat Economics and Statistics for Marketing and Consumer Research) and about 40 articles in international refereed papers on a variety of applied economics topics, including consumer research, policy evaluation, health economics, tourism economics, time series econometrics.
Content
PART ONE: COLLECTING, PREPARING AND CHECKING THE DATA
Measurement, Errors and Data for Consumer Research
Secondary Consumer Data
Primary Data Collection
Data Preparation and Descriptive Statistics
PART TWO: SAMPLING, PROBABILITY AND INFERENCE
Sampling
Hypothesis Testing
Analysis of Variance
PART THREE: RELATIONSHIPS AMONG VARIABLES
Correlation and Regression
Association, Log-linear Analysis and Canonical Correlation Analysis
Factor Analysis and Principal Component Analysis
PART FOUR: CLASSIFICATION AND SEGMENTATION TECHNIQUES
Discriminant Analysis
Cluster Analysis
Multidimensional Scaling
Correspondence Analysis
PART FIVE: FURTHER METHODS IN MULTIVARIATE ANALYSIS
Structural Equation Models
Discrete Choice Models
The End (and Beyond)
Measurement, Errors and Data for Consumer Research
Secondary Consumer Data
Primary Data Collection
Data Preparation and Descriptive Statistics
PART TWO: SAMPLING, PROBABILITY AND INFERENCE
Sampling
Hypothesis Testing
Analysis of Variance
PART THREE: RELATIONSHIPS AMONG VARIABLES
Correlation and Regression
Association, Log-linear Analysis and Canonical Correlation Analysis
Factor Analysis and Principal Component Analysis
PART FOUR: CLASSIFICATION AND SEGMENTATION TECHNIQUES
Discriminant Analysis
Cluster Analysis
Multidimensional Scaling
Correspondence Analysis
PART FIVE: FURTHER METHODS IN MULTIVARIATE ANALYSIS
Structural Equation Models
Discrete Choice Models
The End (and Beyond)