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Modeling and Multivariate Methods - SAS

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Chapter 15 Performing Categorical Response Analysis 395<br />

Categorical Reports<br />

Statistical Comm<strong>and</strong>s<br />

The following comm<strong>and</strong>s appear in the platform menu depending on context.<br />

Table 15.3 Categorical Platform Comm<strong>and</strong>s<br />

Comm<strong>and</strong><br />

Supported<br />

Response Contexts<br />

Question<br />

Details<br />

Test Response<br />

Homogeneity<br />

• Separate<br />

Responses<br />

• Aligned<br />

Responses<br />

• Repeated<br />

Measures<br />

Are the probabilities<br />

across the response<br />

categories the same<br />

across sample<br />

categories?<br />

Marginal<br />

Homogeneity<br />

(Independence) Test,<br />

both Pearson <strong>and</strong><br />

Chi-square likelihood<br />

ratio chi-square<br />

• Response<br />

Frequencies (if<br />

no Sample Size)<br />

These require multiple X columns<br />

Test Each Response • Multiple<br />

Response<br />

• Multiple<br />

Response by ID<br />

(with Sample<br />

Size)<br />

• Multiple<br />

Delimited<br />

• Response<br />

Frequencies<br />

with Sample<br />

Size<br />

For each response<br />

category, are the rates<br />

the same across<br />

sample categories?<br />

Poisson regression on<br />

sample for each<br />

defect frequency.<br />

Agreement Statistic • Rater<br />

Agreement<br />

How closely do raters<br />

agree, <strong>and</strong> is the lack<br />

of agreement<br />

symmetrical?<br />

Kappa for agreement,<br />

Bowker/McNemar<br />

for symmetry.<br />

Transition Report • Repeated<br />

Measures<br />

How have the<br />

categories changed<br />

across time?<br />

Transition counts <strong>and</strong><br />

rates matrices.<br />

Test Response Homogeneity<br />

In this situation, there is typically one categorical response variable <strong>and</strong> one categorical sample variable.<br />

Multiple sample variables are treated as a single variable.

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