Saturated model: (MSW) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high 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 2601.7687 Algorithm converged. Analysis Of Parameter Estimates Standard Parameter DF Estimate Error Intercept 1 5.3230 0.0698 Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Pr > ChiSq Intercept 5.1861 5.4599 5808.56 <.0001 Saturated model: (MSW) The GENMOD Procedure Analysis Of Parameter Estimates Standard Parameter DF Estimate Error manager bad 1 -1.5853 0.1694 manager good 0 0.0000 0.0000 super low 1 -0.6317 0.1185 super high 0 0.0000 0.0000 worker low 1 -0.9663 0.1330 worker high 0 0.0000 0.0000 manager*super bad low 1 1.3599 0.2222 manager*super bad high 0 0.0000 0.0000 manager*super good low 0 0.0000 0.0000 manager*super good high 0 0.0000 0.0000 manager*worker bad low 1 0.6944 0.2697 manager*worker bad high 0 0.0000 0.0000 manager*worker good low 0 0.0000 0.0000 manager*worker good high 0 0.0000 0.0000 super*worker low low 1 0.3525 0.2093 super*worker low high 0 0.0000 0.0000 super*worker high low 0 0.0000 0.0000 super*worker high high 0 0.0000 0.0000 manager*super*worker bad low low 1 0.0883 0.3465 manager*super*worker bad low high 0 0.0000 0.0000 manager*super*worker bad high low 0 0.0000 0.0000 manager*super*worker bad high high 0 0.0000 0.0000 manager*super*worker good low low 0 0.0000 0.0000 manager*super*worker good low high 0 0.0000 0.0000 manager*super*worker good high low 0 0.0000 0.0000 manager*super*worker good high high 0 0.0000 0.0000 Scale 0 1.0000 0.0000 Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Pr > ChiSq manager bad -1.9173 -1.2534 87.61 <.0001 manager good 0.0000 0.0000 . . super low -0.8640 -0.3993 28.39 <.0001 super high 0.0000 0.0000 . . worker low -1.2270 -0.7056 52.76 <.0001 worker high 0.0000 0.0000 . . manager*super bad low 0.9245 1.7953 37.47 <.0001 manager*super bad high 0.0000 0.0000 . . manager*super good low 0.0000 0.0000 . . manager*super good high 0.0000 0.0000 . . manager*worker bad low 0.1657 1.2230 6.63 0.0100 manager*worker bad high 0.0000 0.0000 . . Saturated model: (MSW) The GENMOD Procedure Analysis Of Parameter Estimates Wald 95% Chi- Parameter Confidence Limits Square Pr > ChiSq manager*worker good low 0.0000 0.0000 . . manager*worker good high 0.0000 0.0000 . . super*worker low low -0.0578 0.7628 2.84 0.0922 super*worker low high 0.0000 0.0000 . . super*worker high low 0.0000 0.0000 . . super*worker high high 0.0000 0.0000 . . manager*super*worker bad low low -0.5909 0.7675 0.06 0.7990 manager*super*worker bad low high 0.0000 0.0000 . . manager*super*worker bad high low 0.0000 0.0000 . . manager*super*worker bad high high 0.0000 0.0000 . . manager*super*worker good low low 0.0000 0.0000 . . manager*super*worker good low high 0.0000 0.0000 . . manager*super*worker good high low 0.0000 0.0000 . . manager*super*worker good high high 0.0000 0.0000 . . Scale 1.0000 1.0000 NOTE: The scale parameter was held fixed. Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 103 4.634729 0.0985329 103 84.911369 124.94204 -1.42E-14 -1.4E-15 -3.485E-9 -0.109065 -4.383E-8 -4.396E-8 2 87 bad low high 87 4.4659081 0.1072113 87 70.511648 107.34397 -1.56E-13 -1.68E-14 -2.464E-9 -0.135646 -9.226E-7 -9.226E-7 3 32 bad high low 32 3.4657359 0.1767767 32 22.629626 45.250416 -7.11E-14 -1.26E-14 0 . . . 4 42 bad high high 42 3.7376696 0.1543033 42 31.03888 56.831948 1.421E-13 2.193E-14 0 0 6.5889E-7 6.5889E-7 5 59 good low low 59 4.0775374 0.1301889 59 45.712504 76.149843 -1.42E-14 -1.85E-15 0 0 -5.351E-8 -5.351E-8 6 109 good low high 109 4.6913479 0.0957826 109 90.343347 131.50941 1.279E-13 1.225E-14 6.0357E-9 0.3174346 6.4429E-7 6.4431E-7 Saturated model: (MSW) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 7 78 good high low 78 4.3567088 0.1132277 78 62.476258 97.380993 7.105E-14 8.045E-15 5.7411E-9 . . . 8 205 good high high 205 5.32301 0.069843 205 178.77359 235.07387 -2.27E-13 -1.59E-14 -9.452E-9 -0.365207 -6.136E-7 -6.137E-7 Complete independence model: (M,S,W) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 4 117.9968 29.4992 Scaled Deviance 4 117.9968 29.4992 Pearson Chi-Square 4 128.0859 32.0215 Scaled Pearson X2 4 128.0859 32.0215 Log Likelihood 2542.7704 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Intercept 1 4.9382 0.0669 4.8070 5.0694 5445.04 <.0001 manager bad 1 -0.5355 0.0775 -0.6874 -0.3836 47.76 <.0001 manager good 0 0.0000 0.0000 0.0000 0.0000 . . super low 1 0.0028 0.0748 -0.1438 0.1494 0.00 0.9702 super high 0 0.0000 0.0000 0.0000 0.0000 . . worker low 1 -0.4878 0.0770 -0.6387 -0.3368 40.10 <.0001 worker high 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. Complete independence model: (M,S,W) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 50.285616 3.9177191 0.0863739 50.285616 42.454352 59.56146 52.714384 7.433738 6.5019439 8.2253874 9.4041682 8.6863798 2 87 bad low high 81.899 4.4054868 0.0777259 81.899 70.326375 95.375969 5.1010004 0.5636585 0.5579542 0.7849771 0.7930025 0.7889581 3 32 bad high low 50.145153 3.9149219 0.0864191 50.145153 42.332007 59.400358 -18.14515 -2.562395 -2.746344 -3.472485 -3.2399 -3.387253 4 42 bad high high 81.670231 4.4026896 0.0777762 81.670231 70.123016 95.118936 -39.67023 -4.38968 -4.845491 -6.81204 -6.171237 -6.503358 5 59 good low low 85.904594 4.4532373 0.0767454 85.904594 73.907851 99.848652 -26.90459 -2.902808 -3.078409 -4.379736 -4.129902 -4.255162 6 109 good low high 139.91079 4.941005 0.0668635 139.91079 122.7261 159.50177 -30.91079 -2.613271 -2.719619 -4.444098 -4.270317 -4.336213 7 78 good high low 85.664637 4.4504401 0.0767964 85.664637 73.694043 99.57969 -7.664637 -0.828115 -0.840949 -1.195542 -1.177297 -1.186359 8 205 good high high 139.51998 4.9382078 0.066922 139.51998 122.36926 159.07447 65.480022 5.5435838 5.1777261 8.4534676 9.0507887 8.8314384 Joint Independence: (MS,W) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 35.5967 11.8656 Scaled Deviance 3 35.5967 11.8656 Pearson Chi-Square 3 35.7191 11.9064 Scaled Pearson X2 3 35.7191 11.9064 Log Likelihood 2583.9704 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.1667 0.0663 5.0368 5.2966 6077.71 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Joint Independence: (MS,W) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -1.3414 0.1306 -1.5973 -1.0855 105.55 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.5215 0.0974 -0.7124 -0.3306 28.67 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.4878 0.0770 -0.6387 -0.3368 40.10 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*super bad low 1 1.4644 0.1681 1.1349 1.7939 75.88 manager*super bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*super good low 0 0.0000 0.0000 0.0000 0.0000 . manager*super good high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low <.0001 super high . worker low <.0001 worker high . manager*super bad low <.0001 manager*super bad high . manager*super good low . manager*super good high . Scale NOTE: The scale parameter was held fixed. Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 72.279796 4.2805446 0.0868391 72.279796 60.96764 85.690851 30.720204 3.6133966 3.3943434 5.0324605 5.3572292 5.2119897 2 87 bad low high 117.72037 4.7683121 0.0782425 117.72037 100.98375 137.23085 -30.72037 -2.831396 -2.970261 -5.620004 -5.357258 -5.43193 Joint Independence: (MS,W) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 3 32 bad high low 28.151055 3.3375848 0.1256638 28.151055 22.005411 36.013047 3.8489451 0.7254281 0.7097736 0.9523466 0.9733512 0.9617407 4 42 bad high high 45.848947 3.8253522 0.1198843 45.848947 36.247967 57.992934 -3.848947 -0.56843 -0.576675 -0.98747 -0.973352 -0.97819 5 59 good low low 63.910503 4.1574837 0.0907207 63.910503 53.499611 76.34733 -4.910503 -0.614243 -0.622371 -0.903983 -0.892176 -0.897792 6 109 good low high 104.0895 4.6452511 0.0825295 104.0895 88.543708 122.3647 4.9104978 0.4813069 0.477595 0.8852943 0.8921747 0.8901778 7 78 good high low 107.65877 4.6789667 0.0762328 107.65877 92.717127 125.00831 -29.65877 -2.858436 -3.007543 -4.915573 -4.67187 -4.76456 8 205 good high high 175.34126 5.1667341 0.0662745 175.34126 153.98244 199.66274 29.658742 2.2398074 2.180738 4.5486564 4.6718654 4.6438354 Joint Independence: (MW,S) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 87.7872 29.2624 Scaled Deviance 3 87.7872 29.2624 Pearson Chi-Square 3 85.0225 28.3408 Scaled Pearson X2 3 85.0225 28.3408 Log Likelihood 2557.8751 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.0548 0.0677 4.9221 5.1876 5570.13 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Joint Independence: (MW,S) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -0.8896 0.1046 -1.0946 -0.6846 72.36 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 0.0028 0.0748 -0.1438 0.1494 0.00 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.8294 0.1024 -1.0301 -0.6287 65.62 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker bad low 1 0.8749 0.1601 0.5610 1.1887 29.85 manager*worker bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good low 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low 0.9702 super high . worker low <.0001 worker high . manager*worker bad low <.0001 manager*worker bad high . manager*worker good low . manager*worker good high . Scale NOTE: The scale parameter was held fixed. Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 67.594406 4.2135252 0.0938195 67.594406 56.240793 81.24003 35.405594 4.3064213 3.9945947 6.2766897 6.7666614 6.5726121 2 87 bad low high 64.59021 4.1680628 0.095638 64.59021 53.549998 77.906543 22.40979 2.788396 2.6467899 4.1375437 4.3589067 4.2697086 Joint Independence: (MW,S) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 3 32 bad high low 67.405595 4.210728 0.0938612 67.405595 56.079113 81.019722 -35.40559 -4.312448 -4.809542 -7.546651 -6.766662 -7.093813 4 42 bad high high 64.40979 4.1652656 0.0956789 64.40979 53.396136 77.695155 -22.40979 -2.792299 -2.983541 -4.657444 -4.358907 -4.483821 5 59 good low low 68.595804 4.2282314 0.0932414 68.595804 57.138693 82.350228 -9.595804 -1.158598 -1.187318 -1.868853 -1.823646 -1.842027 6 109 good low high 157.21958 5.0576434 0.0676713 157.21958 137.69073 179.51823 -48.21958 -3.845653 -4.072681 -7.696268 -7.267246 -7.389895 7 78 good high low 68.404196 4.2254342 0.0932834 68.404196 56.974403 82.126951 9.5958042 1.1602191 1.1345655 1.7833237 1.8236463 1.8074337 8 205 good high high 156.78042 5.0548462 0.0677291 156.78042 137.29057 179.03706 48.21958 3.8510354 3.6753202 6.9356556 7.2672459 7.1756789 Joint Independence: (SW,M) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 3 102.1111 34.0370 Scaled Deviance 3 102.1111 34.0370 Pearson Chi-Square 3 99.0937 33.0312 Scaled Pearson X2 3 99.0937 33.0312 Log Likelihood 2550.7132 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.0486 0.0698 4.9118 5.1853 5236.62 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Joint Independence: (SW,M) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -0.5355 0.0775 -0.6874 -0.3836 47.76 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.2313 0.0957 -0.4188 -0.0438 5.85 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.8089 0.1146 -1.0336 -0.5842 49.80 worker high 0 0.0000 0.0000 0.0000 0.0000 . super*worker low low 1 0.6184 0.1563 0.3121 0.9246 15.66 super*worker low high 0 0.0000 0.0000 0.0000 0.0000 . super*worker high low 0 0.0000 0.0000 0.0000 0.0000 . super*worker high high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low 0.0156 super high . worker low <.0001 worker high . super*worker low low <.0001 super*worker low high . super*worker high low . super*worker high high . Scale NOTE: The scale parameter was held fixed. Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 59.815385 4.0912629 0.0925317 59.815385 49.894166 71.709391 43.184615 5.5837068 5.0581404 7.2417926 7.9942516 7.6364298 2 87 bad low high 72.369231 4.2817812 0.0865524 72.369231 61.077383 85.74869 14.630769 1.7198485 1.6662959 2.4625565 2.5416999 2.5057737 Joint Independence: (SW,M) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 3 32 bad high low 40.615385 3.7041469 0.1071456 40.615385 32.922139 50.106388 -8.615385 -1.351853 -1.404444 -1.922404 -1.850416 -1.889179 4 42 bad high high 91.2 4.5130549 0.0802363 91.2 77.928729 106.73137 -49.2 -5.151903 -5.76781 -8.976475 -8.017935 -8.42691 5 59 good low low 102.18462 4.6267811 0.0836154 102.18462 86.738512 120.38131 -43.18462 -4.27205 -4.643111 -8.688615 -7.994252 -8.198544 6 109 good low high 123.63077 4.8172995 0.0769463 123.63077 106.32362 143.75514 -14.63077 -1.315842 -1.343166 -2.594479 -2.5417 -2.555952 7 78 good high low 69.384615 4.2396652 0.099547 69.384615 57.085872 84.333036 8.6153846 1.0342918 1.0139242 1.8139775 1.8504164 1.8391095 8 205 good high high 155.8 5.0485731 0.0697659 155.8 135.88848 178.62912 49.2 3.9416801 3.75754 7.6433679 8.0179349 7.9290318 Conditional Independence: (MS,MW) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 5.3871 2.6936 Scaled Deviance 2 5.3871 2.6936 Pearson Chi-Square 2 5.4104 2.7052 Scaled Pearson X2 2 5.4104 2.7052 Log Likelihood 2599.0752 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.2834 0.0671 5.1519 5.4149 6201.76 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Conditional Independence: (MS,MW) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -1.6954 0.1483 -1.9860 -1.4049 130.79 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.5215 0.0974 -0.7124 -0.3306 28.67 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.8294 0.1024 -1.0301 -0.6287 65.62 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*super bad low 1 1.4644 0.1681 1.1349 1.7939 75.88 manager*super bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*super good low 0 0.0000 0.0000 0.0000 0.0000 . manager*super good high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker bad low 1 0.8749 0.1601 0.5610 1.1887 29.85 manager*worker bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good low 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low <.0001 super high . worker low <.0001 worker high . manager*super bad low <.0001 manager*super bad high . manager*super good low . manager*super good high . manager*worker bad low <.0001 manager*worker bad high . manager*worker good low . manager*worker good high . Scale NOTE: The scale parameter was held fixed. Conditional Independence: (MS,MW) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 97.159091 4.5763497 0.094248 97.159091 80.771732 116.8712 5.8409091 0.5925687 0.5867754 1.585496 1.6011497 1.5990147 2 87 bad low high 92.840909 4.5308874 0.0960584 92.840909 76.908497 112.07389 -5.840909 -0.606193 -0.612722 -1.618395 -1.60115 -1.603633 3 32 bad high low 37.840909 3.6333908 0.1308932 37.840909 29.278244 48.907797 -5.840909 -0.94951 -0.975657 -1.645241 -1.60115 -1.616792 4 42 bad high high 36.159091 3.5879284 0.1322028 36.159091 27.905275 46.854219 5.840909 0.9713409 0.9468076 1.5607091 1.6011497 1.5863863 5 59 good low low 51.033259 3.9324776 0.1050445 51.033259 41.537392 62.699977 7.9667406 1.1152032 1.0879267 1.6459556 1.6872231 1.6693197 6 109 good low high 116.96674 4.7618896 0.0831853 116.96674 99.369912 137.67969 -7.966741 -0.73663 -0.745239 -1.706941 -1.687223 -1.690999 7 78 good high low 85.966741 4.4539605 0.09282 85.966741 71.667453 103.11906 -7.966741 -0.859242 -0.873054 -1.714344 -1.687223 -1.694299 8 205 good high high 197.03326 5.2833725 0.0670894 197.03326 172.75592 224.72228 7.9667406 0.5675589 0.5637972 1.6760405 1.6872231 1.6859615 Conditional Independence: (MS,SW) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 19.7111 9.8556 Scaled Deviance 2 19.7111 9.8556 Pearson Chi-Square 2 19.8841 9.9421 Scaled Pearson X2 2 19.8841 9.9421 Log Likelihood 2591.9132 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.2771 0.0691 5.1416 5.4126 5824.64 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Conditional Independence: (MS,SW) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -1.3414 0.1306 -1.5973 -1.0855 105.55 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.7556 0.1142 -0.9794 -0.5317 43.77 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.8089 0.1146 -1.0336 -0.5842 49.80 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*super bad low 1 1.4644 0.1681 1.1349 1.7939 75.88 manager*super bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*super good low 0 0.0000 0.0000 0.0000 0.0000 . manager*super good high 0 0.0000 0.0000 0.0000 0.0000 . super*worker low low 1 0.6184 0.1563 0.3121 0.9246 15.66 super*worker low high 0 0.0000 0.0000 0.0000 0.0000 . super*worker high low 0 0.0000 0.0000 0.0000 0.0000 . super*worker high high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low <.0001 super high . worker low <.0001 worker high . manager*super bad low <.0001 manager*super bad high . manager*super good low . manager*super good high . super*worker low low <.0001 super*worker low high . super*worker high low . super*worker high high . Scale NOTE: The scale parameter was held fixed. Conditional Independence: (MS,SW) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 85.977656 4.4540874 0.0929661 85.977656 71.656021 103.16171 17.022344 1.8358051 1.7797385 3.5112079 3.6218204 3.5937268 2 87 bad low high 104.02235 4.6446057 0.0870167 104.02235 87.711777 123.36597 -17.02235 -1.668999 -1.717936 -3.728018 -3.621821 -3.644631 3 32 bad high low 22.801124 3.1268098 0.1407242 22.801124 17.305 30.042835 9.1988758 1.9264451 1.8148048 2.4505098 2.6012564 2.5196945 4 42 bad high high 51.198887 3.9357178 0.1214947 51.198887 40.350043 64.96464 -9.198887 -1.285598 -1.327301 -2.685641 -2.60126 -2.622121 5 59 good low low 76.02235 4.3310274 0.0966019 76.02235 62.909121 91.868995 -17.02235 -1.95231 -2.032951 -3.771421 -3.621822 -3.665919 6 109 good low high 91.977656 4.5215457 0.0908907 91.977656 76.969028 109.9129 17.022344 1.7749176 1.7240048 3.51793 3.6218205 3.5971439 7 78 good high low 87.198881 4.4681915 0.0991129 87.198881 71.803547 105.89511 -9.198881 -0.985098 -1.003227 -2.64913 -2.601258 -2.608177 8 205 good high high 195.80112 5.2770994 0.069145 195.80112 170.98532 224.21853 9.1988804 0.6573965 0.6523472 2.5812781 2.6012576 2.5999862 Conditional Independence: (MW, SW) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 2 71.9016 35.9508 Scaled Deviance 2 71.9016 35.9508 Pearson Chi-Square 2 70.8768 35.4384 Scaled Pearson X2 2 70.8768 35.4384 Log Likelihood 2565.8179 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.1652 0.0705 5.0270 5.3035 5361.66 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Conditional Independence: (MW, SW) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -0.8896 0.1046 -1.0946 -0.6846 72.36 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.2313 0.0957 -0.4188 -0.0438 5.85 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -1.1506 0.1330 -1.4112 -0.8899 74.83 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker bad low 1 0.8749 0.1601 0.5610 1.1887 29.85 manager*worker bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good low 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good high 0 0.0000 0.0000 0.0000 0.0000 . super*worker low low 1 0.6184 0.1563 0.3121 0.9246 15.66 super*worker low high 0 0.0000 0.0000 0.0000 0.0000 . super*worker high low 0 0.0000 0.0000 0.0000 0.0000 . super*worker high high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low 0.0156 super high . worker low <.0001 worker high . manager*worker bad low <.0001 manager*worker bad high . manager*worker good low . manager*worker good high . super*worker low low <.0001 super*worker low high . super*worker high low . super*worker high high . Scale NOTE: The scale parameter was held fixed. Conditional Independence: (MW, SW) The GENMOD Procedure Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 80.404412 4.387069 0.0995177 80.404412 66.156153 97.721363 22.595588 2.5199024 2.4138706 5.3484294 5.5833646 5.5363186 2 87 bad low high 57.074492 4.0443573 0.10294 57.074492 46.646533 69.833649 29.925508 3.9611428 3.6740751 5.8443801 6.301021 6.1246258 3 32 bad high low 54.595588 3.9999531 0.1132336 54.595588 43.729342 68.161974 -22.59559 -3.058052 -3.316817 -6.055816 -5.583365 -5.729185 4 42 bad high high 71.925508 4.275631 0.0976892 71.925508 59.392242 87.10361 -29.92551 -3.528581 -3.829133 -6.837721 -6.301021 -6.474121 5 59 good low low 81.595588 4.4017752 0.0989729 81.595588 67.20797 99.063252 -22.59559 -2.501441 -2.632702 -5.876347 -5.583365 -5.643392 6 109 good low high 138.92551 4.9339379 0.0776493 138.92551 119.31273 161.76227 -29.92551 -2.538929 -2.639393 -6.55035 -6.301021 -6.342169 7 78 good high low 55.404412 4.0146592 0.1127551 55.404412 44.418823 69.106938 22.595588 3.0356485 2.8580695 5.2567497 5.5833646 5.4888396 8 205 good high high 175.07449 5.1652116 0.0705405 175.07449 152.468 201.03286 29.925508 2.2616745 2.2014402 6.1332086 6.301021 6.2796523 Homogeneous Association: (MS,MW,SW) The GENMOD Procedure Model Information Data Set WORK.COLLAR Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information Class Levels Values manager 2 bad good super 2 low high worker 2 low high Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1 0.0649 0.0649 Scaled Deviance 1 0.0649 0.0649 Pearson Chi-Square 1 0.0649 0.0649 Scaled Pearson X2 1 0.0649 0.0649 Log Likelihood 2601.7363 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 5.3266 0.0683 5.1928 5.4604 6084.25 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Homogeneous Association: (MS,MW,SW) The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square manager bad 1 -1.6066 0.1484 -1.8975 -1.3157 117.19 manager good 0 0.0000 0.0000 0.0000 0.0000 . super low 1 -0.6420 0.1115 -0.8606 -0.4234 33.14 super high 0 0.0000 0.0000 0.0000 0.0000 . worker low 1 -0.9794 0.1231 -1.2207 -0.7381 63.29 worker high 0 0.0000 0.0000 0.0000 0.0000 . manager*super bad low 1 1.3964 0.1705 1.0622 1.7306 67.06 manager*super bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*super good low 0 0.0000 0.0000 0.0000 0.0000 . manager*super good high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker bad low 1 0.7479 0.1691 0.4165 1.0792 19.57 manager*worker bad high 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good low 0 0.0000 0.0000 0.0000 0.0000 . manager*worker good high 0 0.0000 0.0000 0.0000 0.0000 . super*worker low low 1 0.3847 0.1667 0.0581 0.7114 5.33 super*worker low high 0 0.0000 0.0000 0.0000 0.0000 . super*worker high low 0 0.0000 0.0000 0.0000 0.0000 . super*worker high high 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq manager bad <.0001 manager good . super low <.0001 super high . worker low <.0001 worker high . manager*super bad low <.0001 manager*super bad high . manager*super good low . manager*super good high . manager*worker bad low <.0001 manager*worker bad high . manager*worker good low . manager*worker good high . super*worker low low 0.0210 super*worker low high . super*worker high low . super*worker high high . Scale Homogeneous Association: (MS,MW,SW) The GENMOD Procedure NOTE: The scale parameter was held fixed. Observation Statistics Observation count manager super worker Pred Xbeta Std HessWgt Lower Upper Resraw Reschi Resdev StResdev StReschi Reslik 1 103 bad low low 102.26389 4.6275567 0.094763 102.26389 84.929756 123.13593 0.7361053 0.0727912 0.0727041 0.2544114 0.2547161 0.2546912 2 87 bad low high 87.736105 4.4743335 0.1015523 87.736105 71.901326 107.05817 -0.736105 -0.078587 -0.078697 -0.255074 -0.254716 -0.25475 3 32 bad high low 32.736106 3.4884786 0.1508448 32.736106 24.357218 43.997334 -0.736106 -0.128655 -0.129142 -0.25568 -0.254716 -0.254963 4 42 bad high high 41.263895 3.7199879 0.1390302 41.263895 31.421542 54.189227 0.7361047 0.1145921 0.1142539 0.2539642 0.2547159 0.2545639 5 59 good low low 59.736106 4.0899366 0.1199995 59.736106 47.216431 75.575435 -0.736106 -0.09524 -0.095437 -0.255242 -0.254716 -0.25479 6 109 good low high 108.26389 4.6845717 0.0923264 108.26389 90.343158 129.73944 0.7361053 0.0707454 0.0706654 0.2544283 0.2547161 0.2546939 7 78 good high low 77.263895 4.3472268 0.1074415 77.263895 62.592494 95.374206 0.7361053 0.0837436 0.0836112 0.2543132 0.2547161 0.2546726 8 205 good high high 205.73611 5.3265943 0.0682883 205.73611 179.96309 235.20015 -0.736105 -0.05132 -0.05135 -0.254868 -0.254716 -0.254722