Marketing Research: An Applied Orientation 7 Global Edition Naresh K. Malhotra – Ebook Instant Download/Delivery ISBN(s): 9781292265636,1292265639, 9780134735603, 0134735609
Product details:
- ISBN 10: 0134735609
- ISBN 13: 9780134735603
- Author: Naresh K. Malhotra
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 undergraduate and graduate courses in marketing research. An applied and practical marketing research text With a do-it-yourself, hands-on approach, Marketing Research: An Applied Orientation illustrates the interaction between marketing research decisions and marketing management decisions. This text uses a practical six-step framework for conducting marketing research, utilizing a variety of marketing companies to highlight qualitative and quantitative research strategies. The 7th Edition provides current, contemporary, and illustrative material sensitive to user needs. And with detailed emphasis on how to run the SPSS and SAS programs, marketing research students obtain the most extensive help available on this industry.
Table contents:
Chapter 1 Introduction to Marketing Research
Chapter 2 Defining the Marketing Research Problem and Developing an Approach
Chapter 3 Research Design
Chapter 4 Exploratory Research Design: Secondary and Syndicated Data
Chapter 5 Exploratory Research Design: Qualitative Research
Chapter 6 Descriptive Research Design: Survey and Observation
Chapter 7 Causal Research Design: Experimentation
Chapter 8 Measurement and Scaling: Fundamentals and Comparative Scaling
Chapter 9 Measurement and Scaling: Noncomparative Scaling Techniques
Chapter 10 Questionnaire and Form Design
Chapter 11 Sampling: Design and Procedures
Chapter 12 Sampling: Final and Initial Sample Size Determination
Chapter 13 Fieldwork
Chapter 14 Data Preparation
Chapter 15 Frequency Distribution, Cross-Tabulation, and Hypothesis Testing
Chapter 16 Analysis of Variance and Covariance
Chapter 17 Correlation and Regression
Chapter 18 Discriminant and Logit Analysis
Chapter 19 Factor Analysis
Chapter 20 Cluster Analysis
Chapter 21 Multidimensional Scaling and Conjoint Analysis
Chapter 22 Structural Equation Modeling and Path Analysis
Chapter 23 Report Preparation and Presentation
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