Cross-Tabular Freq Table
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The FREQ Procedure
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The LOGISTIC Procedure
Model Information | |
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Data Set | WORK.APS |
Response Variable | place3 |
Number of Response Levels | 3 |
Model | generalized logit |
Optimization Technique | Newton-Raphson |
Number of Observations Read | 508 |
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Number of Observations Used | 508 |
Response Profile | ||
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Ordered Value |
place3 | Total Frequency |
1 | 0 | 259 |
2 | 1 | 130 |
3 | 2 | 119 |
Logits modeled use place3=0 as the reference category.
Model Convergence Status |
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Convergence criterion (GCONV=1E-8) satisfied. |
Model Fit Statistics | ||
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Criterion | Intercept Only | Intercept and Covariates |
AIC | 1052.742 | 1039.465 |
SC | 1061.203 | 1056.386 |
-2 Log L | 1048.742 | 1031.465 |
Testing Global Null Hypothesis: BETA=0 | |||
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Test | Chi-Square | DF | Pr > ChiSq |
Likelihood Ratio | 17.2774 | 2 | 0.0002 |
Score | 16.4245 | 2 | 0.0003 |
Wald | 15.6695 | 2 | 0.0004 |
Type 3 Analysis of Effects | |||
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Effect | DF | Wald Chi-Square |
Pr > ChiSq |
viol | 2 | 15.6695 | 0.0004 |
Analysis of Maximum Likelihood Estimates | ||||||
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Parameter | place3 | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq |
Intercept | 1 | 1 | -1.1239 | 0.2257 | 24.7877 | <.0001 |
Intercept | 2 | 1 | -1.6740 | 0.2814 | 35.3959 | <.0001 |
viol | 1 | 1 | 0.5809 | 0.2572 | 5.1008 | 0.0239 |
viol | 2 | 1 | 1.1310 | 0.3072 | 13.5543 | 0.0002 |
Odds Ratio Estimates | ||||
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Effect | place3 | Point Estimate | 95% Wald Confidence Limits |
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viol | 1 | 1.788 | 1.080 | 2.960 |
viol | 2 | 3.099 | 1.697 | 5.658 |
The LOGISTIC Procedure
Model Information | |
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Data Set | WORK.APS |
Response Variable | place3 |
Number of Response Levels | 3 |
Model | generalized logit |
Optimization Technique | Newton-Raphson |
Number of Observations Read | 508 |
---|---|
Number of Observations Used | 508 |
Response Profile | ||
---|---|---|
Ordered Value |
place3 | Total Frequency |
1 | 0 | 259 |
2 | 1 | 130 |
3 | 2 | 119 |
Logits modeled use place3=0 as the reference category.
Model Convergence Status |
---|
Convergence criterion (GCONV=1E-8) satisfied. |
Model Fit Statistics | ||
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Criterion | Intercept Only | Intercept and Covariates |
AIC | 1052.742 | 647.878 |
SC | 1061.203 | 707.105 |
-2 Log L | 1048.742 | 619.878 |
Testing Global Null Hypothesis: BETA=0 | |||
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Test | Chi-Square | DF | Pr > ChiSq |
Likelihood Ratio | 428.8636 | 12 | <.0001 |
Score | 366.7714 | 12 | <.0001 |
Wald | 209.0792 | 12 | <.0001 |
Type 3 Analysis of Effects | |||
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Effect | DF | Wald Chi-Square |
Pr > ChiSq |
age | 2 | 4.9422 | 0.0845 |
race | 2 | 5.2320 | 0.0731 |
danger | 2 | 4.8360 | 0.0891 |
los | 2 | 51.2940 | <.0001 |
behav | 2 | 24.4172 | <.0001 |
custd | 2 | 140.9339 | <.0001 |
Analysis of Maximum Likelihood Estimates | ||||||
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Parameter | place3 | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq |
Intercept | 1 | 1 | -6.5229 | 1.5291 | 18.1986 | <.0001 |
Intercept | 2 | 1 | -8.9245 | 1.6706 | 28.5394 | <.0001 |
age | 1 | 1 | 0.1674 | 0.0919 | 3.3212 | 0.0684 |
age | 2 | 1 | 0.1983 | 0.0971 | 4.1723 | 0.0411 |
race | 1 | 1 | 0.5876 | 0.3047 | 3.7180 | 0.0538 |
race | 2 | 1 | 0.6515 | 0.3207 | 4.1274 | 0.0422 |
danger | 1 | 1 | 0.0670 | 0.1846 | 0.1317 | 0.7167 |
danger | 2 | 1 | -0.3482 | 0.2032 | 2.9348 | 0.0867 |
los | 1 | 1 | 0.0547 | 0.0144 | 14.4947 | 0.0001 |
los | 2 | 1 | 0.0876 | 0.0139 | 39.6375 | <.0001 |
behav | 1 | 1 | 0.1154 | 0.0932 | 1.5351 | 0.2153 |
behav | 2 | 1 | 0.5548 | 0.1145 | 23.4631 | <.0001 |
custd | 1 | 1 | 3.9461 | 0.3335 | 139.9988 | <.0001 |
custd | 2 | 1 | 2.4570 | 0.3547 | 47.9747 | <.0001 |
Odds Ratio Estimates | ||||
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Effect | place3 | Point Estimate | 95% Wald Confidence Limits |
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age | 1 | 1.182 | 0.987 | 1.415 |
age | 2 | 1.219 | 1.008 | 1.475 |
race | 1 | 1.800 | 0.990 | 3.270 |
race | 2 | 1.918 | 1.023 | 3.597 |
danger | 1 | 1.069 | 0.745 | 1.535 |
danger | 2 | 0.706 | 0.474 | 1.051 |
los | 1 | 1.056 | 1.027 | 1.086 |
los | 2 | 1.092 | 1.062 | 1.122 |
behav | 1 | 1.122 | 0.935 | 1.347 |
behav | 2 | 1.742 | 1.391 | 2.180 |
custd | 1 | 51.733 | 26.908 | 99.460 |
custd | 2 | 11.670 | 5.823 | 23.390 |