Sawtooth Software 2020 European Conference | Virtual Attendance  | September 22–25
Early-bird pricing ends August 22!

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