Modeling and Multivariate Methods - SAS

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394 Performing Categorical Response Analysis Chapter 15 Categorical Reports To gather all three statistics for each sample and response together, use the Crosstab format. Both Table Format and Crosstab Format have transposed versions (Table Transposed and Crosstab Transposed). These are useful when there are a lot of response categories but not a lot of samples.
Chapter 15 Performing Categorical Response Analysis 395 Categorical Reports Statistical Commands The following commands appear in the platform menu depending on context. Table 15.3 Categorical Platform Commands Command Supported Response Contexts Question Details Test Response Homogeneity • Separate Responses • Aligned Responses • Repeated Measures Are the probabilities across the response categories the same across sample categories? Marginal Homogeneity (Independence) Test, both Pearson and Chi-square likelihood ratio chi-square • Response Frequencies (if no Sample Size) These require multiple X columns Test Each Response • Multiple Response • Multiple Response by ID (with Sample Size) • Multiple Delimited • Response Frequencies with Sample Size For each response category, are the rates the same across sample categories? Poisson regression on sample for each defect frequency. Agreement Statistic • Rater Agreement How closely do raters agree, and is the lack of agreement symmetrical? Kappa for agreement, Bowker/McNemar for symmetry. Transition Report • Repeated Measures How have the categories changed across time? Transition counts and rates matrices. Test Response Homogeneity In this situation, there is typically one categorical response variable and one categorical sample variable. Multiple sample variables are treated as a single variable.
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Version 10 Modeling and Multivariat
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INDIRECT OR CONSEQUENTIAL DAMAGES O
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6 Emphasis Options for Standard Lea
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8 Models with Crossed, Interaction,
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18 Interpreting the Profiles . . .
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20 Discriminant Analysis . . . . .
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Contents Book Conventions. . . . .
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232 Analyzing Screening Designs Cha
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244 Performing Nonlinear Regression
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280 Creating Neural Networks Chapte
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Contents Launching the Platform. .
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444 Correlations and Multivariate T
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Contents Principal Components. . .
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Contents Surface Plots . . . . . .
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538 Plotting Surfaces Chapter 23 La
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640 References Becker, R.A. and Cle
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650 References Umetrics (1995), Mul
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700 Index Stable 363 Stable Inverti
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Modeling and Multivariate Methods - SAS

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