3-day, hands-on workshop

Introduction to CBC

This session introduces participants to discrete choice (CBC) analysis through interactive, hands-on training.

• Conjoint methodology: overview, concepts, and objectives

• Formulating attributes and levels

• Designing conjoint experiments

• Best practices / common mistakes related to CBC

• Choosing among the four experimental design strategies: Complete Enumeration, Shortcut, Balanced Overlap, and Random

• Prohibitions: are they universally bad? Testing the impact of modest to severe prohibitions

• Design Testing: How simulated respondent data can help with sample size decisions

Intermediate CBC

This session builds upon concepts learned in the introductory segments of this training. Attendees will also receive practical experience creating surveys in Sawtooth Software’s Lighthouse Studio system and analyzing the results. We'll go beyond the basics of CBC to cover:

• Analyzing CBC data using Counts, Logit, Latent Class, and hierarchical Bayes (HB)

• Using market simulators to estimate preference for competitive products in market scenarios, including price sensitivity

• Introduction to product optimization searches using the market simulator

• Conditional Pricing/Display: customizing price ranges and concept display without the use of prohibitions

• Introduction to Alternative-Specific Designs

CBC Data Analysis

This session introduces participants to two of our most popular survey strategies: MaxDiff (best/worst item scaling) and Adaptive CBC.

• 1-hour review of programming, fielding, and analyzing CBC experiments

• Designing, programming, and analyzing MaxDiff experiments

• MaxDiff Analyzer tool and TURF analysis

• Benefits and motivation for Adaptive CBC (ACBC)
  

• Designing, programming, and analyzing ACBC studies
  

• When to use non-adaptive CBC and Adaptive CBC (ACBC)