You can merge segmentation variables and toggle quickly between segments, process multiple scenarios, and even conduct automatic sensitivity analysis. No Need to Be Limited to Small Designs . The ICE module leverages information from all respondents to estimate results for the individual. Designs don't need to be kept impractically small. A CBC study with six attributes and 30 total levels can be comfortably implemented if you ask around 20 to 30 tasks per individual.
Estimation is Relatively Fast .
Recently, leading academics and researchers have been investigating the use of Hierarchical Bayes for estimating individual-level utilities from Choice. Their run times have been measured in terms of dozens of hours for typical data sets. The typical ICE run takes about 30 minutes on a Pentium 166 MHz processor. Reduces IIA Problems . Very similar products tend to capture too much net share in competitive logit simulations.