CBC Latent Class Module  潛在類別分析軟體

Latent Class Segmentation Module
Latent Class is a tool for discovering segments of respondents who tend to have similar preferences manifest within CBC (choice-based conjoint) data. Latent Class classifies respondents into different segments and estimates the part worth utilities for each segment. The results can be used within Sawtooth Software’s standard market simulator. The software may also be used for analyzing discrete choice data not designed or collected using Sawtooth Software’s tools. Latent Class is included with your purchase of CBC/Web for SSI Web V8 or later.

Latent Class 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, 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
Latent Class is designed to run on Microsoft Windows XP or later.
　

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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.