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Author: Control Data Corporation
Publisher:
ISBN:
Category :
Languages : en
Pages : 416
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Book Description
Author: Control Data Corporation
Publisher:
ISBN:
Category :
Languages : en
Pages : 416
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Book Description
Author: Klaus Backhaus
Publisher: Springer Nature
ISBN: 3658404116
Category : Business & Economics
Languages : en
Pages : 618
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Book Description
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.
Author: Dawn Iacobucci
Publisher: Createspace Independent Publishing Platform
ISBN: 9781539926108
Category :
Languages : en
Pages : 280
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Book Description
Increasingly, marketers have to analyze massive amounts of customer data. Marketing models translate that data into information to use for fact-based strategic and tactical decisions. This book covers a breadth of marketing questions and their optimal marketing model for solutions. Chapters include: 1) Introduction to Marketing Models. 2) Marketing Segmentation and Cluster Analysis. 3) Brand Choice and Logit Models. 4) Measuring Customer Attitudes and Factor Analysis. 5) Drivers of Customer Satisfaction and Path Models. 6) Perceptual Maps and Multidimensional Scaling. 7) New Products and Conjoint Analysis. 8) ROI, Experiments, and ANOVA. 9) Diffusion Models and Forecasting. 10) Word-of-Mouth and Social Networks. 11) Marketing Models: Classic Models, Big Data, to infinity and beyond. 12) Introduction to SAS, 13) Introduction to SPSS. About the Author Dawn Iacobucci is Professor of Marketing at Vanderbilt University (previously Sr. Associate Dean at Vanderbilt, Kellogg (1987-2004), Arizona (2001-2002), and Wharton (2004-2007)). Her research has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, the Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, the Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks. She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, and Kellogg on Integrated Marketing. She is author of Marketing Management, MM, Mediation Analysis, Analysis of Variance (ANOVA), and coauthor with Gilbert Churchill on the lead Marketing Research text.
Author: Subrata K. Sen
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
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Book Description
Author: José Marcos Carvalho de Mesquita
Publisher: Taylor & Francis
ISBN: 1000481719
Category : Business & Economics
Languages : en
Pages : 211
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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.
Author: Thomas Cleff
Publisher: Springer
ISBN: 303017767X
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
Author: Daniel Robert Toy
Publisher:
ISBN:
Category : Marketing research
Languages : en
Pages : 90
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Book Description
Author: Joseph Hair
Publisher: Pearson Higher Ed
ISBN: 0133792684
Category : Business & Economics
Languages : en
Pages : 816
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Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Joseph F. Hair
Publisher: Macmillan College
ISBN:
Category : Mathematics
Languages : en
Pages : 568
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Book Description
Key terms what is muitivariate analysis, impact of computer revolution and multivariate analysis defined. Multiple regression analysis, multiple discriminant analysis and multivariate analysis of variance. Canonical correlation analysis, factor analysis, cluster analysis, muldidimensional scaling, canjoint analysis, structural equation modeling, a mathematical representation in LISREL, notation. Path analysis: a method of computing structural coefficients. Overall goodness-of Fit measures for structural equation modeling. Application of multivariate data analysis.
