Bøger af Dawn Iacobucci

Please seek new 13th edition (cut-and-paste the following: https: //www.amazon.com/gp/product/B09RLY9DQY/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1)For all the talk of "big data" and "marketing analytics"-it all starts here-you've got to know how to get data and what to do with data once you've got them. The text, MARKETING RESEARCH: METHODOLOGICAL FOUNDATIONS, 12th edition, by Dr. Dawn Iacobucci and Dr. Gilbert Churchill is recognized as the perennial authority and it continues to be the lead marketing research text in the industry. MARKETING RESEARCH: METHODOLOGICAL FOUNDATIONS, 12th edition, ensures that students will develop a strong conceptual as well as practical understanding of marketing research. The book's thorough coverage of the six stages of the research process provides a solid marketing research framework while addressing topics and tools of emerging importance. With its proven applications, clear presentation, and variety of timely cases, MARKETING RESEARCH: METHODOLOGICAL FOUNDATIONS serves as an exceptional learning tool for today's learners (MBAs, EMBAs, advanced undergrads) and an invaluable reference tool for professionals throughout their careers.Chapters: 1) Marketing Research: It's Everywhere!; 2) Alternative Approaches to Marketing Intelligence; 3) The Research Process and Problem Formulation; 4) Research Design, Exploratory Research, and Qualitative Data; 5) Descriptive Research; 6) Causal Designs; 7) Data Collection: Secondary Data; 8) Data Collection: Primary Data; 9) Questionnaires and Data-Collection Forms; 10) Attitude Measurement; 11) Sampling Procedures; 12) Sample Size; 13) Collecting the Data: Field Procedures and Non-sampling Errors; 14) Preprocessing the Data, and Cross-Tabs, Chi-Square and Related Indices for Cross-Tabs; 15) Data Analysis: Basic Questions, Quick Stats Review; 16) Data Analysis: Examination of Differences, Analysis of Variance; 17) Data Analysis: Investigation of Association, Conjoint Analysis; 18) Multivariate Data Analysis; 19) The Research Report; Epilogue. Each section of the book also has several hands-on cases, each chapter has "Ethical Dilemmas" for classroom debate, and "Research Realities" to see real-world applicability. Each chapter ends with questions and applications to further students' learning. Instructors should email the first author for additional materials: data, slides, etc.

This book covers Analysis of Variance (ANOVA) (i.e., how to analyze data from an experiment), variants of experimental design, and multivariate ANOVA. Chapters include: 1) Review of Basic Statistics, 2) One-Way ANOVA, 3) Two-Way, Three-Way, and Higher-Order ANOVA, 4) Effect Sizes, 5) Contrasts and Simple Effects, 6) Fixed vs. Random Effects, Expected Mean Squares, 7) Experimental Designs, 8) Repeated Measures, 9) Analysis of Covariance, 10) Unbalanced Designs, 11) SAS, 12) Matrix Algebra, 13) Intro to Multivariate and T2, 14) MANOVA Intro, 15) Multivariate Contrasts, and 16) MANOVA for Repeated Measures. About the Author: Dawn Iacobucci is Professor of Marketing at Vanderbilt University (previously 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, Marketing Science, Psychometrika, Psychological Bulletin, Social Networks, etc. She was editor of the Journal of Consumer Psychology and the Journal of Consumer Research, and she edited Networks in Marketing and Kellogg on Marketing. She is author of Marketing Management 6th ed., Mediation Analysis, Marketing Models: Multivariate Statistics and Marketing Analytics 4th ed., and coauthor with Gilbert Churchill on the lead Marketing Research text, 13th ed.

(*Update: Issues re layout have been addressed, and syntax is included for SAS and SPSS.) 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 AuthorDawn 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.

Explores marketing issues in health care. The primary focus of this book is the collection of summaries of marketing research articles which together represent what is known in academic research at the nexus of marketing and health care.

Three Essential Analytical Techniques for the Behavioral Marketing Researcher reviews several topics that are essential complementary analytics that enable behavioral marketing researchers to test theories and hypotheses, and thereby advance their respective literatures and contribute to knowledge bases.

Explores even the fundamental assumptions underlying mediation analysis