CBC Hierarchical Bayes Estimation Module

CBC/HB is a tool for estimating individual-level results for CBC experiments. It may also be used for analyzing discrete choice data not designed or collected using Sawtooth Software’s tools. Because having individual-level utility data is so helpful for improving the general results of CBC studies, especially the validity of market simulators, most CBC users also employ CBC/HB analysis.

CBC/HB Specifications

• Up to 1000 attributes or parameters per individual
• Up to 1000 alternatives per choice task
• Maximum of 1000 levels for any one attribute
• Up to 1000 tasks per respondent
• Effects-coding, dummy-coding, linear coding, or user-specified coding
• Can impose utility (monotonicity) constraints
• Can include first-order interactions
• Supports chip-allocation, MaxDiff, dual-response None

System Requirements

CBC/HB requires Windows XP or later.

Server Requirements

N/A