ACA 是一種管理電腦、 互動式的聯合方法，設計用於在其中的屬性數超過什麼的情況下可以合理地做更多傳統的方法 (如
CBC 或傳統相連 — CVA）。ACA 重點與答辯人最相關的屬性，避免資訊超載了通過一次重點只是幾個屬性。
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
Two system sizes to choose from: up to 10 attributes / up to 30
Up to 15 levels per attribute (text and/or graphics)
Built-in utility estimation routine based on Ordinary Least-Squares
Web-based or CAPI interviewing (computers not connected to the
SMRT software included, for conducting market simulations
Includes comprehensive manual, with tutorial and examples
SSI Web requires Windows XP or later.
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).
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.
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
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