Figure 4.12 Launch Window for One Table, Stacked Data Format
A column that contains values that indicate the preferred choice. A 1 indicates the preferred profile and a 0 indicates the other profiles. If respondents are given an option to select no preference, enter missing values for choice sets where no preference is indicated. See Respondent is allowed to select “None” or “No Choice”.
A column which, when used with the Choice Set ID column, 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.
Note: The choice model observes the column coding property of continuous profile and subject effects.
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.
Hierarchical Bayes
Number of Bayesian Iterations