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Categorical Data Analysis Using The SAS® System, 2nd Edition by Gary G. Koch, Charles S. Davis, Maura E. Stokes

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9.3. Nominal Response: Generalized Logits Model

9.3.1. Methodology

When you have nominal response variables, you can also use logistic regression to model your data. Instead of fitting a model to cumulative logits, you fit a model to generalized logits. Table 9.6 redisplays the data analyzed in Section 6.3.3. Recall that schoolchildren in experimental learning settings were surveyed to determine which program they preferred. Investigators were interested in whether their response was associated with their school and their school day, which could be a standard school day or include afterschool care.

Table 9.6. School Program Data
  Learning Style Preference
SchoolProgramSelfTeamClass
1Regular101726
1After51250
2Regular211726
2After161236
3Regular

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