Adaptive Conjoint Analysis (ACA) 自我調整聯合分析軟體

Adaptive Conjoint Analysis (ACA)
ACA is a computer-administered, interactive conjoint method designed for situations in which the number of attributes exceeds what can reasonably done with more traditional methods (such as CBC or traditional conjoint—CVA). ACA focuses on the attributes that are most relevant to the respondent and avoids information overload by focusing on just a few attributes at a time.

Our ACA software is a component within our SSI Web suite of tools. It is typically used for product design and segmentation research, where the number of attributes exceeds about six. ACA is not commonly used for pricing research, as it can tend to understate the true importance of price.

Read more about the Adaptive Conjoint (ACA) methodology or download the ACA Technical Paper. If you are having trouble deciding which conjoint method might be best for your specific situation, try our interactive advisor.

ACA System:
Two system sizes to choose from: up to 10 attributes / up to 30 attributes
Up to 15 levels per attribute (text and/or graphics)
Built-in utility estimation routine based on Ordinary Least-Squares regression
Web-based or CAPI interviewing (computers not connected to the Internet)
SMRT software included, for conducting market simulations
Includes comprehensive manual, with tutorial and examples
　

System Requirements
SSI Web requires Windows XP or later.

Server Requirements
For web-based data collection, the software works on any Windows or Unix(Linux) based server platform that supports Perl scripts (including inexpensive shared hosting solutions).
　

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.