Figure 6.9 shows the one-table launch window populated using Potato Chip Combined.jmp.
An identifier for the set of profiles presented to the subject for a given preference determination.
A column which, when used with the Choice Set ID, uniquely designates each choice set. For example, if a choice set has Choice Set ID = 1 for Survey = A, and another choice set has Choice Set ID = 1 for Survey = B, then Survey should be used as a Grouping column.
For information about the Construct Profile Effects panel, see Construct Model Effects in the Fitting Linear Models book.
For information about the Construct Subject Effects panel, see Construct Model Effects in the Fitting Linear Models book.
Computes bias-corrected MLEs that produce better estimates and tests than MLEs without bias correction. These estimates also improve separation problems that tend to occur in logistic-type models. Refer to Heinze and Schemper (2002) for a discussion of the separation problem in logistic regression.