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ISBN
:
9780070220874
Publisher
:
Tata Mcgraw Hill Education Private Limited
Subject
:
Encyclopaedias & Reference Works, Business & Management
Binding
:
Paperback
Pages
:
560
Year
:
2008
₹
695.0
₹
576.0
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The book is written in application oriented manner and the use of case studies with SPSS component enhances the worth of this work not only for the MBA students, but also for marketing research practitioners. Key Features A new chapter on Logistic Regression Techniques A new chapter on Structural Equation Modeling A brief primer on reliability and validity of data Detailed coverage of multivariate techniques More than 30 cases done in the Indian context SPSS commands at the end of all chapters in the data analysis section About The Author Rajendra Nargundkar Dean, Continuing Education, IFIM Business School, Bangalore. Earlier, he has been a Professor in the Marketing Area at IIM Kozhikode and IIM Lucknow. A postgraduate in marketing from IIM Bangalore and a Ph D from Clemson University, USA, Dr Nargundkar has been actively involved in teaching, training, consulting and research for around two decades in India and abroad. Table Of Contents PART 1: FUNDAMENTALS OF MARKETING RESEARCH Chapter 1. Introduction, Evolution, and Emerging Issues Chapter 2. The Marketing Research Process ? An Overview Chapter 3. Research Methods and Design ? Additional Inputs Chapter 4. Questionnaire Design: A Customer-centric Approach Chapter 5. Sampling Methods ? Theory and Practice Chapter 6. Field Procedures PART 2: DATA ANALYSIS Chapter 8. Simple Tabulation and Cross-tabulation Chapter 9. ANOVA and the Design of Experiments Chapter 10. Correlation and Regression: Explaining Association and Causation Chapter 11. Discriminant Analysis for Classification and Prediction Chapter 12. Logistic Regression for Classification and Prediction Chapter 13. Factor Analysis for Data Reduction Chapter 14. Cluster Analysis for Market Segmentation Chapter 15. Multimensional Scaling for Brand Positioning Chapter 16. Conjoint Analysis for Product Design Chapter 17. Attribute-based Perceptual Mapping Using Discriminant Analysis Chapter 18. Structural Equation Modeling (SEM) for Complex Models (including Confirmatory Factor Analysis) PART 3: APPENDICES Appendix 1: Industrial Marketing Research Appendix 2: Careers in Marketing Research
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