Services Marketing
Rajendra Nargundkar
Services Marketing - New Delhi TMH 2004
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 Chapter 7. Planning the Data Analysis
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
9780070220874
658.8 NAR-S
Services Marketing - New Delhi TMH 2004
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 Chapter 7. Planning the Data Analysis
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
9780070220874
658.8 NAR-S