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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.

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