Sawtooth Software Conference 2019 | San Diego, CA, USA | September 23–27

Sawtooth Software Conference 2004 Program Set

We are pleased to announce the program for the 2004 Sawtooth Software Conference, to be held in San Diego, CA, October 6-8, 2004. Our conferences are well-known for their practical focus, friendly environment, accessible presentations, and excellent food. They are not sales events for our software, but forums for discussing a variety of issues related to conjoint/choice analysis, computer/web interviewing, and other quantitative methods. Typically about one-quarter of the attendees are not Sawtooth Software users.

To register for the conference, or to view more details (including abstracts), please visit The conference registration is only $750 for the 2.5-day event ($900 after August 16).

Preliminary Program Outline:

Wednesday, Oct 6, 2004

Data Collection Issues
  • It’s Ethical Jim, But Not in the Way We Used to Know It! – Ray Poynter, UK
  • A Structured Approach to Choosing and Using Web Samples – Theo Downes-LeGuin, Doxus
Components-Based Pricing Research
  • Optimizing the Online Environment: Examination of a Configurator Analysis Case Study – Donna Wydra, Socratic Technologies, Inc.
  • The Options Pricing Model: An Application of Best-Worst Conjoint Analysis to Multi-Item Pricing – Keith Chrzan, Ming Shan, Maritz Research
Conjoint Analysis
  • Conjoint Analysis: How We Got Here and Where We Are—An Update – Joel Huber, Duke University
  • The “Importance” Question in ACA: Can it Be Omitted? – Chris King, Aaron Hill, Sawtooth Software
Derived Measures of Preference/Importance
  • Scale Development with MaxDiffs: Two Case Studies – Luis Sa Lucas, IDS – Interactive Data Systems
  • Multi-Colinearity in CSAT Studies – Jane Tang and Jay Weiner, Ipsos-Insight

Thursday, Oct 7, 2004

Conjoint Analysis Case Studies
  • Insights into Patient Treatment Preferences Using ACA – Liana Fraenkel, Yale School of Medicine, Dick Wittink, Yale School of Management
  • Modeling Conceptually Complex Services: The Application of Discrete Choice Conjoint, Latent Class, Hierarchical Bayes, and Advanced Simulation Analyses to Medical School Curriculum Redesign – Charles E. Cunningham, Ken Deal, Alan Neville, Heather Miller, McMaster University
Applied Choice Models
  • Over-Estimation in Market Simulations: An Explanation and Solution to the Problem with Particular Reference to the Pharmaceutical Industry – Adrian Vickers, Phil Mellor and Roger Brice, Adelphi International Research, UK
  • Estimating Preferences for Product Bundles vs. a la carte Choices – David Bakken, Megan Kaiser Bond, Harris Interactive
Discrete Choice Design
  • The Importance of Shelf Presentation in Choice Based Conjoint Studies – Greg Rogers, Procter and Gamble, Tim Renken, Coulter/Renken
  • The Effect of Design Decisions on Business Decision-Making – Curtis Frazier, Urszula Jones, Millward Brown-IntelliQuest
Quantitative Approaches with Soft Attributes
  • Application of Latent Class Models to Food Product Development: A Case Study – Richard Popper, Jeff Kroll, Peryam & Kroll Research Corporation, and Jay Magidson, Statistical Innovations
  • Assessing the Impact of Emotional Connections – Paul Curran, Greg Heist, Wai-Kwan Li, Camille Nicita, and Bill Thomas, Gongos and Associates, Inc.

Friday, Oct 8, 2004

MCMC Methods
  • Item Response Theory (IRT) Models: Basics, and Marketing Applications – Lynd Bacon, Jean Durall, LBA Ltd., and Peter Lenk, University of Michigan
  • Avoiding IIA Meltdown: Choice Modeling with Many Alternatives – Greg Allenby, Ohio State University
Advanced Topics in Choice Modeling
  • Managing Missing Data in Predictive Choice Models – Marco Vriens, Microsoft, Inc., Steve Cohen, SHC
  • A Second Test of Adaptive Choice-Based Conjoint Analysis (The Surprising Robustness of Standard CBC Designs) – Rich Johnson, Sawtooth Software, Joel Huber, Duke University, and Bryan Orme, Sawtooth Software

Optional Half-Day Tutorials (Tuesday, Oct 5, 2004)

These four-hour tutorials provide an opportunity for more in-depth training. The cost is $195 for one tutorial, or $320 for two tutorials (until August 16).

  • Introduction to Web Interviewing Using SSI Web – Chris King and Justin Luster, Sawtooth Software
  • Hierarchical Bayes: Theory and Practice – Peter Lenk, University of Michigan, and Bryan Orme, Sawtooth Software
  • New Features for Advanced CiW Questionnaires (SSI Web v5) – Chris King and Justin Luster, Sawtooth Software
  • Introduction to CBC – Tom Pilon,
  • Applications in Segmentation Modeling Using Latent GOLD, GOLDMineR, SI-CHAID, and Latent GOLD Choice – Jay Magidson, Statistical Innovations Inc. and Tony Babinec, AB Analytics