Getting Started With Conjoint Analysis: Strategies For Product Design And Pricing Research

Getting Started With Conjoint Analysis: Strategies For Product Design And Pricing Research

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Frequently Asked Questions

  • Q: What is the main focus of 'Getting Started With Conjoint Analysis'? A: The book primarily focuses on strategies for product design and pricing research using conjoint analysis, a statistical technique used to determine how people value different attributes that make up an individual product or service.
  • Q: Who is the author of this book? A: The author of 'Getting Started With Conjoint Analysis' is Bryan K. Orme, who is known for his expertise in market research and statistical analysis techniques.
  • Q: What is the condition of the book? A: The book is listed as 'New', having been purchased new and never used, indicating it is in exceptional condition.
  • Q: How many pages does the book have? A: This book contains 228 pages, providing a comprehensive overview of conjoint analysis techniques.
  • Q: What type of binding does the book have? A: The book is available in paperback binding, making it lightweight and easy to handle.
  • Q: When was 'Getting Started With Conjoint Analysis' published? A: The book was published on September 2, 2009.
  • Q: Is there a specific edition of the book? A: Yes, this book is the second edition, which may include updated content and methodologies relevant to market research.
  • Q: What category does this book belong to? A: The book falls under the category of Industrial & Product Design, focusing on product development and pricing strategies.
  • Q: Can this book be useful for beginners in market research? A: Yes, 'Getting Started With Conjoint Analysis' is designed to be accessible for beginners, providing foundational knowledge on how to apply conjoint analysis in real-world scenarios.
  • Q: Are there specific features or methodologies discussed in the book? A: While specific features are not listed, the book typically covers various methodologies of conjoint analysis, including survey design and data interpretation, essential for effective product and pricing research.