August 2009
Intermediate to advanced
648 pages
17h 35m
English
book
Categorical Data Analysis Using The SAS® System, 2nd Edition
by Maura E. Stokes, Charles S. Davis, Gary G. Koch
Content preview from Categorical Data Analysis Using The SAS® System, 2nd Edition
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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.
| Learning Style Preference | ||||
|---|---|---|---|---|
| School | Program | Self | Team | Class |
| 1 | Regular | 10 | 17 | 26 |
| 1 | After | 5 | 12 | 50 |
| 2 | Regular | 21 | 17 | 26 |
| 2 | After | 16 | 12 | 36 |
| 3 | Regular | |||
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