RESPONSE [=] { Variable };

{ Variable [(Value List)] };

Example 1. RESPONSE = SURVIVAL ("NO" "YES");

Example 2. RESPONSE = STRESS_R;

Required keyword; specify a dependent (response) variable for the current analysis; if the Distribution selected from the GLZ Startup Panel - Advanced tab is either Binomial, Multinomial, or Ordinal multinomial (i.e., if the response variable is categorical in nature; see Distribution and Link function on the GLZ Startup Panel - Advanced tab), then you can also specify the codes that are used in the response variable to identify the group (category) membership of each observation. For a discussion of the different link functions and distributions, see the Introductory Overview.

Reference level for categorical dependent (response) variables. The last category (level) that is specified for a categorical dependent (response) variable will be the reference category for the comparisons with the other categories. So, for example, if a multinomial dependent (response) variable with k = 3 levels is analyzed, the k-1 = 2 parameters for each predictor (effect column) pertain to the comparison of (1) the first level with the last level, and (2) the second level with the last level of the dependent (response) variable.

Note: response codes for binomial response
variables. When selecting (or specifying via syntax) response codes
for binomial response variables (e.g., for logit models), the two selected
values (numeric codes or text values) are recoded for the analysis, so
that the first code that

Applies to. GLZ