CBC Hierarchical Bayes 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.

Read more about the HB methodology or download the CBC/HB Technical Paper.

CBC/HB System:

  • 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 is designed to run on Microsoft Windows 2000/Windows XP/Windows 2003 operating systems