In Becoming an Expert in Conjoint Analysis: Choice Modeling for Pros, Sawtooth Software executives Bryan Orme and Keith Chrzan share the practical knowledge that has taken them 50+ years to learn. This is the book they wish had magically fallen out of the sky onto their desks early on in their careers. It is the advanced sequel to the highly-regarded Getting Started with Conjoint Analysis (now in its 4th edition) by Bryan Orme.
In this 331-page volume, Orme and Chrzan explain the ins and outs of advanced choice modeling. Occasionally, they highlight tools specific to Sawtooth Software; but this book is clearly written for choice modelers in both marketing and economics, whether using Sawtooth Software or not. If you have already learned the essentials of conjoint/choice analysis and are ready to reach and accelerate toward the expert level, this book is for you!
|Book: Becoming an Expert in Conjoint Analysis: Choice Modeling for Pros
|PDF eBook: Becoming an Expert in Conjoint Analysis: Choice Modeling for Pros
If you want faster access to this book, and would like to avoid shipping charges, you should consider the PDF e-book version. After placing your order, the eBook will be delivered via email within one business day.
|PDF eBook Bundle: Becoming an Expert + Getting Started
If you want to learn what you need to know about Conjoint Analysis, save by bundling eBook versions of this book along with its companion volume, the foundational resource Getting Started with Conjoint Analysis. After placing your order, these eBooks will be delivered via email within one business day.
|PDF eBook Bundle: Becoming an Expert + Getting Started + Applied MaxDiff
Save by bundling eBook versions of this book along with the other books written by Sawtooth Software: Getting Started with Conjoint Analysis and Applied MaxDiff. After placing your order, these three eBooks will be delivered via email within one business day.
Table of Contents
- How People Choose
- Reducing Hypothetical Bias
- Advanced CBC Designs
- Adaptive Designs and Customization
- The None Alternative
- Holdout Choice Tasks
- Dealing with Many Attributes and Levels
- Sample Size Decisions
- Coding Conjoint Data for Estimation
- Part-Worth Utility Estimation
- Allocation and Volumetric Choice Experiments
- Statistical Testing
- Willingness to Pay
- Building Choice Simulators
- Optimization in Choice Simulators
- Situational Choice Experiments
- Perceptual Choice Experiments
- Best-Worst Case 2
- Introduction to MBC
- Appendix A: Creating Artificial Data
- Appendix B: A Dinner Conversation with Legends in Choice Research