CVA/HB Module for Hierarchical Bayes Estimation
Full-profile conjoint surveys like CVA are often challenging for respondents to complete. The CVA/HB module helps you make the most of the precious information you collect. It consistently produces superior results compared to the standard OLS approach.

With CVA/HB, you can reduce the length of your questionnaire and sample sizes without sacrificing precision and accuracy. Precisely the amount of reduction depends on the study and the sample.

How does hierarchical Bayes work? From an intuitive standpoint, HB “borrows” information from the sample population to strengthen estimates of each individual’s part worths. This borrowing of information produces cleaner part worths (fewer reversals, less noise) and actually improves the characterization of unique respondent preferences.

With CVA/HB, you can even field a study in which respondents see fewer conjoint questions than parameters to be estimated. You might ask respondents to complete a random subset of the CVA tasks, using either Web-based data collection or the paper-and-pencil design and data management approach. Academics have shown that you can get useful conjoint information using HB with as few as four conjoint questions per respondent. This “divide and conquer” approach can work well if sample sizes are quite large and individual-level classification of choices is not a priority.

CVA/HB is an integrated component within the SSI Web system.
　

同公司系列產品
Our Flagship Platform and General Interviewing Tool
SSI Web - Our flagship platform that includes a variety of components for general interviewing (CiW), conjoint analysis (ACBC, CBC, ACA, and CVA) and MaxDiff.
CiW
Choice-Based Conjoint (CBC) Related Products
ACBC - Adaptive Choice-Based Conjoint -
CBC - Choice-Based Conjoint
CBC Advanced Design Module
CBC/HB - Hierarchical Bayes estimation for CBC.
CBC Latent Class Module - Latent Class estimation for CBC.
MBC - Menu-Based Choice
Ratings-Based Conjoint Products
ACA - Adaptive Conjoint Analysis
ACA/HB - Hierarchical Bayes estimation for ACA.
CVA - Conjoint Value Analysis
CVA/HB - Hierarchical Bayes estimation for CVA.
Market Simulation Tools
Online Simulator
ASM - Advanced Simulation Module
CCS - Client Conjoint Simulator
Maximum Difference Scaling (MaxDiff)
MaxDiff - Maximum Difference Scaling
MaxDiff Analyzer - Maximum Difference Analyzer
Other Analytical Tools
CCEA - Convergent Cluster & Ensemble Analysis.
HB-Reg - Hierarchical Bayes estimation for general regression-based modeling.