options ls=80; data belief; input race $ belief $ count; cards; W Yes 1339 W No 300 B Yes 260 B No 55 O Yes 88 O No 22 ; proc genmod order=data; class race belief; model count = race belief / dist=poi link=log ; run; /********************************************************************************* Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 0.3565 0.1782 Scaled Deviance 2 0.3565 0.1782 Pearson Chi-Square 2 0.3601 0.1800 Scaled Pearson X2 2 0.3601 0.1800 Log Likelihood 11415.5149 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Intercept 1 3.0003 0.1061 2.7924 3.2083 799.54 <.0001 race W 1 2.7014 0.0985 2.5083 2.8944 752.22 <.0001 race B 1 1.0521 0.1107 0.8350 1.2692 90.24 <.0001 race O 0 0.0000 0.0000 0.0000 0.0000 . . belief Yes 1 1.4985 0.0570 1.3868 1.6101 691.89 <.0001 belief No 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. *********************************************************************************/ data belief2; input R $ B $ count; cards; W Y 1339 W N 300 B Y 260 B N 55 O Y 88 O N 22 ; proc genmod order=data; class R B; model count = R B R*B/ dist=poi link=log ; run; /********************************************************************************* Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 0 0.0000 . Scaled Deviance 0 0.0000 . Pearson Chi-Square 0 0.0000 . Scaled Pearson X2 0 0.0000 . Log Likelihood 11415.6932 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Intercept 1 3.0910 0.2132 2.6732 3.5089 210.20 <.0001 R W 1 2.6127 0.2209 2.1798 3.0457 139.92 <.0001 R B 1 0.9163 0.2523 0.4219 1.4107 13.19 0.0003 R O 0 0.0000 0.0000 0.0000 0.0000 . . B Y 1 1.3863 0.2384 0.9191 1.8535 33.82 <.0001 B N 0 0.0000 0.0000 0.0000 0.0000 . . R*B W Y 1 0.1096 0.2468 -0.3741 0.5933 0.20 0.6569 R*B W N 0 0.0000 0.0000 0.0000 0.0000 . . R*B B Y 1 0.1671 0.2808 -0.3833 0.7174 0.35 0.5519 R*B B N 0 0.0000 0.0000 0.0000 0.0000 . . R*B O Y 0 0.0000 0.0000 0.0000 0.0000 . . R*B O N 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 *********************************************************************************/ proc freq data=belief order=data; weight count; tables race*belief / chisq expected; run; /********************************************************************************* The FREQ Procedure Table of race by belief race belief Frequency| Expected | Percent | Row Pct | Col Pct |Yes |No | Total ---------+--------+--------+ W | 1339 | 300 | 1639 | 1339.6 | 299.37 | | 64.87 | 14.53 | 79.41 | 81.70 | 18.30 | | 79.37 | 79.58 | ---------+--------+--------+ B | 260 | 55 | 315 | 257.46 | 57.536 | | 12.60 | 2.66 | 15.26 | 82.54 | 17.46 | | 15.41 | 14.59 | ---------+--------+--------+ O | 88 | 22 | 110 | 89.908 | 20.092 | | 4.26 | 1.07 | 5.33 | 80.00 | 20.00 | | 5.22 | 5.84 | ---------+--------+--------+ Total 1687 377 2064 81.73 18.27 100.00 Statistics for Table of race by belief Statistic DF Value Prob ------------------------------------------------------ Chi-Square 2 0.3601 0.8352 Likelihood Ratio Chi-Square 2 0.3565 0.8367 Mantel-Haenszel Chi-Square 1 0.0178 0.8939 Phi Coefficient 0.0132 Contingency Coefficient 0.0132 Cramer's V 0.0132 Sample Size = 2064 *********************************************************************************/