Wednesday, October 16:
Nine Things Clients Get Wrong about Conjoint Analysis— Christopher Chapman, Google
Quantitative Marketing Research Solutions in a Traditional Manufacturing Firm: Update and Case Study— Robert J. Goodwin, Lifetime Products, Inc.
Can Conjoint Be Fun?: Improving Respondent Engagement in CBC Experiments— Jane Tang and Andrew Grenville, Vision Critical
Making Conjoint Mobile: Adapting Conjoint to the Mobile Phenomenon— Chris Diener, Rajat Narang, Mohit Shant, Hem Chander, and Mukul Goyal, AbsolutData
Choice Experiments in Mobile Web Environments— Joseph White, Maritz Research
Using Complex Choice Models to Drive Business Results— Karen Fuller, HomeAway, Inc. and Karen Buros, Radius Global Market Research
Augmenting Discrete Choice Data – A Q-sort Case Study— Brent Fuller, Mike Smith, and Matt Madden, The Modellers
MaxDiff Augmentation: Effort vs. Impact— Urszula Jones, TNS, and Jing Yeh, Millward Brown
When U = βx Is Not Enough: Modeling Diminishing Returns among Correlated Conjoint Attributes— Kevin Lattery, Maritz Research
Respondent Heterogeneity, Version Effects or Scale?— Keith Chrzan, Sawtooth Software
Thursday, October 17:
Bridging Survey Research with Social Media Monitoring Services— Karlan Witt and Deb Ploskonka, Cambia Information Group
Brand Imagery Measurement: Assessment of Current Practice and a New Approach— Paul Richard McCullough, MACRO Consulting, Inc.
ACBC Revisited— Christopher Fotenos, Jeroen Hardon, and Marco Hoogerbrugge, SKIM Group
Research Space and Realistic Pricing in Shelf Conjoint— Peter Kurz, TNS Infratest, Stefan Binner, bms marketing research + strategy, and Leonhard Kehl, Premium Choice Research & Consulting
Attribute Non-Attendance in Discrete Choice Experiments— Dan Yardley, Maritz Research
Anchored Adaptive MaxDiff - Application in Continuous Concept Test— Rosanna Mau, Jane Tang, LeAnn Helmrich and Maggie Cournoyer, Vision Critical
How Important Are the Obvious Comparisons in CBC? The Impact of Removing Easy Conjoint Tasks — Paul Johnson and Weston Hadlock, SSI
Segmenting Choice and Non-Choice Data Simultaneously: A How to...— Thomas C. Eagle, Eagle Analytics of California, Inc.
Extending Cluster Ensemble Analysis via Semi-Supervised Learning— Ewa Nowakowska, GfK Polonia and Joseph Retzer, MarketTools Inc.
The Shapley Value in Marketing Research: 15 Years and Counting— W. Michael Conklin and Stan Lipovetsky, GfK
Demonstrating the Need and Value for a Multiobjective Product Search— Scott Ferguson and Garrett Foster, North Carolina State University, and Joseph Donndelinger, General Motors Research and Development
A Simulation Based Evaluation of the Properties of Anchored Max/Diff: Strengths, Limitations, and Recommendations for Practice— Jake Lee, Maritz Research and Jeff Dotson, Brigham Young University
Friday, October 18:
Contexts in Which Best-Worst CBC Are Most Valuable: Application to School Choice— Namika Sagara and Joel Huber, Duke University, and Angelyn Fairchild, Research Triangle Institute
Does the Analysis of MaxDiff Data Require Separate Scaling Factors?— Jack Horne and Bob Rayner, Market Strategies International
How to Use Conjoint to Determine the Market Value of Product Features— Greg Allenby, The Ohio State University, Jeff Brazell, The Modellers, John Howell, The Ohio State University, and Peter Rossi, UCLA
The Ballad of Best and Worst— Tatiana L. Dyachenko, Rebecca Walker Naylor, and Greg M. Allenby, The Ohio State University