-> * -------------------------- Text tables 4 - 6: NLR runs.
-> SELECT IF ( Miss EQ 0).
-> TITLE ISSP 1992: Relig MS (no missing data).
->
-> SUBTITLE : Table 4: MODEL A.
-> MODEL PROGRAM P=0.5
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= P * M( RELIG4CC ) +
-> (1-P ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P M1 M2 M3
M4 M5 BAGE BMALE
BCOM BEDUC BGNP BCATH
BUSA BNONCR
1 13760859.38 .500000000 30.0000000 50.0000000 80.0000000
90.0000000 95.0000000 .100000000 -.10000000
-.10000000 -.10000000 .000000000 .000000000
.000000000 .000000000
1.1 11593273.69 .338464643 38.3281169 54.2165867 66.1281489
83.1909274 91.5944472 .169413466 -7.5967789
-15.786075 -1.2552196 -.14620647 -1.7302894
15.4958715 5.56127727
2 11593273.69 .338464643 38.3281169 54.2165867 66.1281489
83.1909274 91.5944472 .169413466 -7.5967789
-15.786075 -1.2552196 -.14620647 -1.7302894
15.4958715 5.56127727
2.1 11556853.82 .294800422 38.4584967 55.2689756 69.4571408
83.7037330 90.8404443 .171453821 -7.5957564
-17.224635 -1.2242688 -.21642706 -2.4482987
17.7790049 5.23698848
3 11556853.82 .294800422 38.4584967 55.2689756 69.4571408
83.7037330 90.8404443 .171453821 -7.5957564
-17.224635 -1.2242688 -.21642706 -2.4482987
17.7790049 5.23698848
3.1 11556171.68 .281304516 38.7234181 55.3732082 69.6006754
83.4501379 90.4827560 .170684738 -7.5987342
-17.901042 -1.2285978 -.23232681 -2.3287842
18.6142981 5.22950062
4 11556171.68 .281304516 38.7234181 55.3732082 69.6006754
83.4501379 90.4827560 .170684738 -7.5987342
-17.901042 -1.2285978 -.23232681 -2.3287842
18.6142981 5.22950062
4.1 11556151.02 .280309672 38.6984351 55.4026484 69.6640897
83.4174003 90.4393098 .170609243 -7.5991727
-17.954633 -1.2287778 -.23385737 -2.3233333
18.6921102 5.22421077
5 11556151.02 .280309672 38.6984351 55.4026484 69.6640897
83.4174003 90.4393098 .170609243 -7.5991727
-17.954633 -1.2287778 -.23385737 -2.3233333
18.6921102 5.22421077
5.1 11556150.38 .279883366 38.7095612 55.4065788 69.6698136
83.4102269 90.4271933 .170588690 -7.5992298
-17.977850 -1.2288892 -.23444130 -2.3203589
18.7215509 5.22364955
6 11556150.38 .279883366 38.7095612 55.4065788 69.6698136
83.4102269 90.4271933 .170588690 -7.5992298
-17.977850 -1.2288892 -.23444130 -2.3203589
18.7215509 5.22364955
6.1 11556150.36 .279856071 38.7088338 55.4075406 69.6718645
83.4091764 90.4257876 .170586413 -7.5992435
-17.979612 -1.2288942 -.23449213 -2.3201949
18.7241335 5.22347714
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 14 72292187.6425 5163727.68875
Residual 17621 11556150.3575 655.81694
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .35412
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .279856071 .015681168 .249119436 .310592707
M1 38.708833751 .976434887 36.794925075 40.622742427
M2 55.407540575 .635299685 54.162290539 56.652790611
M3 69.671864496 .681383948 68.336284760 71.007444233
M4 83.409176352 .748621167 81.941805036 84.876547668
M5 90.425787569 .762239811 88.931722366 91.919852772
BAGE .170586413 .012458798 .146165939 .195006886
BMALE -7.599243501 .387756180 -8.359283854 -6.839203148
BCOM -17.97961233 1.247924862 -20.42566813 -15.53355653
BEDUC -1.228894162 .074906753 -1.375718784 -1.082069539
BGNP -.234492130 .031828702 -.296879526 -.172104735
BCATH -2.320194931 .521839293 -3.343051409 -1.297338454
BUSA 18.724133453 1.535189781 15.715010081 21.733256826
BNONCR 5.223477140 1.345198440 2.586755532 7.860198748
Asymptotic Correlation Matrix of the Parameter Estimates
P M1 M2 M3 M4 M5 BAGE
P 1.0000 -.5667 -.1161 -.0617 .2750 .5026 .0531
M1 -.5667 1.0000 .1898 .2443 .0154 -.2536 .0592
M2 -.1161 .1898 1.0000 .2425 .1801 .0691 .0023
M3 -.0617 .2443 .2425 1.0000 .3218 .1980 -.0365
M4 .2750 .0154 .1801 .3218 1.0000 .4446 -.0588
M5 .5026 -.2536 .0691 .1980 .4446 1.0000 -.0957
BAGE .0531 .0592 .0023 -.0365 -.0588 -.0957 1.0000
BMALE .0027 -.1913 -.2965 -.2678 -.2429 -.2238 -.0112
BCOM .6618 -.7050 -.3757 -.3406 -.0154 .3632 -.0022
BEDUC .0574 -.0385 -.0610 -.0004 -.0095 .0139 .2801
BGNP .6326 -.6674 -.3672 -.3765 -.0353 .3582 -.0236
BCATH -.2137 .1189 -.2027 -.3452 -.5220 -.6307 .1096
BUSA -.6610 .5591 .2611 .1869 -.2301 -.4527 -.0024
BNONCR .0055 -.0124 -.1019 -.1036 -.1043 -.1275 .0467
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
BMALE BCOM BEDUC BGNP BCATH BUSA BNONCR
P .0027 .6618 .0574 .6326 -.2137 -.6610 .0055
M1 -.1913 -.7050 -.0385 -.6674 .1189 .5591 -.0124
M2 -.2965 -.3757 -.0610 -.3672 -.2027 .2611 -.1019
M3 -.2678 -.3406 -.0004 -.3765 -.3452 .1869 -.1036
M4 -.2429 -.0154 -.0095 -.0353 -.5220 -.2301 -.1043
M5 -.2238 .3632 .0139 .3582 -.6307 -.4527 -.1275
BAGE -.0112 -.0022 .2801 -.0236 .1096 -.0024 .0467
BMALE 1.0000 .0090 -.0626 .0081 -.0090 .0146 -.0047
BCOM .0090 1.0000 .0882 .9228 -.1631 -.7597 -.0227
BEDUC -.0626 .0882 1.0000 .0328 .0391 -.1160 -.0202
BGNP .0081 .9228 .0328 1.0000 -.0381 -.8220 .0026
BCATH -.0090 -.1631 .0391 -.0381 1.0000 .1535 .1799
BUSA .0146 -.7597 -.1160 -.8220 .1535 1.0000 -.0087
BNONCR -.0047 -.0227 -.0202 .0026 .1799 -.0087 1.0000
Preceding task required 485.16 seconds elapsed.
->
-> SUBTITLE: Table 4: MODEL B WITH INTERACTION FOR ROWS .
-> MODEL PROGRAM P1=0.5 P2=0.5 P3=0.5 P4=0.5 P5=0.5
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> VECTOR P = P1 TO P5 .
-> VECTOR M = M1 TO M5 .
-> COMPUTE PRED= P(RELIG4CC) * M( RELIG4CC ) +
-> (1-P(RELIG4CC)) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P1 P2 P3 P4
P5 M1 M2 M3
M4 M5 BAGE BMALE
BCOM BEDUC BGNP BCATH
BUSA BNONCR
1 13760859.38 .500000000 .500000000 .500000000 .500000000
.500000000 30.0000000 50.0000000 80.0000000
90.0000000 95.0000000 .100000000 -.10000000
-.10000000 -.10000000 .000000000 .000000000
.000000000 .000000000
1.1 11475581.96 .194150188 .348992015 .323049718 .591041289
.573305786 34.0182372 54.8431982 64.6149372
81.9744815 90.7563174 .167769021 -7.5985644
-16.172908 -1.2486512 -.14774525 -1.1234492
14.3290471 5.10536130
2 11475581.96 .194150188 .348992015 .323049718 .591041289
.573305786 34.0182372 54.8431982 64.6149372
81.9744815 90.7563174 .167769021 -7.5985644
-16.172908 -1.2486512 -.14774525 -1.1234492
14.3290471 5.10536130
2.1 11428368.19 .080280251 .269873852 .323115592 .600523282
.568785196 36.7154456 54.9848367 67.3573323
82.1566550 89.5795632 .174092558 -7.5856438
-19.080714 -1.2250657 -.24355495 -1.3369648
17.7971080 5.03481151
3 11428368.19 .080280251 .269873852 .323115592 .600523282
.568785196 36.7154456 54.9848367 67.3573323
82.1566550 89.5795632 .174092558 -7.5856438
-19.080714 -1.2250657 -.24355495 -1.3369648
17.7971080 5.03481151
3.1 11427602.17 .064101877 .256712334 .298837207 .600592842
.567811526 37.1709652 54.7663811 67.2476442
81.9317320 89.4364860 .173178240 -7.5828121
-19.436987 -1.2260887 -.25141546 -1.2999798
18.2850643 5.01115230
4 11427602.17 .064101877 .256712334 .298837207 .600592842
.567811526 37.1709652 54.7663811 67.2476442
81.9317320 89.4364860 .173178240 -7.5828121
-19.436987 -1.2260887 -.25141546 -1.2999798
18.2850643 5.01115230
4.1 11427579.85 .062469420 .254803559 .297564345 .599683051
.568353569 37.2469409 54.7211784 67.3037619
81.8899678 89.3992445 .173103240 -7.5822258
-19.508413 -1.2261022 -.25312875 -1.2896170
18.3841353 5.01069302
5 11427579.85 .062469420 .254803559 .297564345 .599683051
.568353569 37.2469409 54.7211784 67.3037619
81.8899678 89.3992445 .173103240 -7.5822258
-19.508413 -1.2261022 -.25312875 -1.2896170
18.3841353 5.01069302
5.1 11427578.91 .062034514 .254300977 .296556444 .599410454
.568515635 37.2677794 54.7183933 67.3077875
81.8791938 89.3884610 .173084487 -7.5821789
-19.529043 -1.2261374 -.25363395 -1.2871952
18.4133045 5.01029860
Iteration Residual SS P1 P2 P3 P4
P5 M1 M2 M3
M4 M5 BAGE BMALE
BCOM BEDUC BGNP BCATH
BUSA BNONCR
6 11427578.91 .062034514 .254300977 .296556444 .599410454
.568515635 37.2677794 54.7183933 67.3077875
81.8791938 89.3884610 .173084487 -7.5821789
-19.529043 -1.2261374 -.25363395 -1.2871952
18.4133045 5.01029860
6.1 11427578.87 .061980188 .254222908 .296448263 .599369944
.568533372 37.2711674 54.7168672 67.3101242
81.8768851 89.3870382 .173081350 -7.5821624
-19.532065 -1.2261331 -.25370834 -1.2868026
18.4179486 5.01027297
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 18 72420759.1285 4023375.50714
Residual 17617 11427578.8715 648.66770
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36131
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P1 .061980188 .028668792 .005786527 .118173849
P2 .254222908 .019498091 .216004726 .292441091
P3 .296448263 .040461792 .217139158 .375757367
P4 .599369944 .038808131 .523302179 .675437709
P5 .568533372 .042248086 .485722956 .651343788
M1 37.271167398 1.001951646 35.307243327 39.235091470
M2 54.716867176 .649750743 53.443291621 55.990442730
M3 67.310124153 .706841204 65.924645663 68.695602643
M4 81.876885148 .801029143 80.306789005 83.446981290
M5 89.387038163 .795447472 87.827882646 90.946193680
BAGE .173081350 .012398557 .148778955 .197383746
BMALE -7.582162378 .385705336 -8.338182887 -6.826141869
BCOM -19.53206535 1.296352030 -22.07304322 -16.99108748
BEDUC -1.226133097 .074579867 -1.372316993 -1.079949200
BGNP -.253708342 .033892980 -.320141927 -.187274757
BCATH -1.286802571 .539354496 -2.343990590 -.229614551
BUSA 18.417948638 1.589291564 15.302780386 21.533116890
BNONCR 5.010272974 1.339184650 2.385338946 7.635207001
Asymptotic Correlation Matrix of the Parameter Estimates
P1 P2 P3 P4 P5 M1 M2
P1 1.0000 .4612 .2569 .0687 -.0336 -.4210 -.1027
P2 .4612 1.0000 .3185 .0811 -.1141 -.5506 -.0097
P3 .2569 .3185 1.0000 .0483 -.0155 -.3234 -.2014
P4 .0687 .0811 .0483 1.0000 -.0110 -.1202 -.0551
P5 -.0336 -.1141 -.0155 -.0110 1.0000 -.0636 -.1200
M1 -.4210 -.5506 -.3234 -.1202 -.0636 1.0000 .2150
M2 -.1027 -.0097 -.2014 -.0551 -.1200 .2150 1.0000
M3 .0814 .0319 -.0407 -.0478 -.2275 .2345 .2961
M4 .2278 .3314 .1405 .0097 -.2161 .0031 .2355
M5 .4526 .5008 .2704 .1351 -.2368 -.2754 .0638
BAGE -.0093 .0478 .0317 .0192 .0554 .0453 .0105
BMALE .0072 -.0069 .0077 .0024 .0074 -.1833 -.2941
BCOM .6080 .5012 .3228 .1146 .1101 -.6655 -.4173
BEDUC .0293 .0627 -.0119 .0259 -.0048 -.0405 -.0462
BGNP .5613 .4356 .3552 .0980 .1763 -.6224 -.4283
BCATH -.3231 -.1785 .0085 -.0843 .1769 .0761 -.2067
BUSA -.5518 -.5051 -.3617 -.2523 -.0598 .5374 .3016
BNONCR -.0147 .0135 .0203 -.0309 .0284 -.0246 -.0905
M3 M4 M5 BAGE BMALE BCOM BEDUC
P1 .0814 .2278 .4526 -.0093 .0072 .6080 .0293
P2 .0319 .3314 .5008 .0478 -.0069 .5012 .0627
P3 -.0407 .1405 .2704 .0317 .0077 .3228 -.0119
P4 -.0478 .0097 .1351 .0192 .0024 .1146 .0259
P5 -.2275 -.2161 -.2368 .0554 .0074 .1101 -.0048
M1 .2345 .0031 -.2754 .0453 -.1833 -.6655 -.0405
M2 .2961 .2355 .0638 .0105 -.2941 -.4173 -.0462
M3 1.0000 .3914 .2272 -.0481 -.2618 -.3334 .0058
M4 .3914 1.0000 .4566 -.0630 -.2276 -.0539 -.0060
M5 .2272 .4566 1.0000 -.0957 -.2154 .3740 .0154
BAGE -.0481 -.0630 -.0957 1.0000 -.0112 -.0020 .2784
BMALE -.2618 -.2276 -.2154 -.0112 1.0000 .0115 -.0634
BCOM -.3334 -.0539 .3740 -.0020 .0115 1.0000 .0784
BEDUC .0058 -.0060 .0154 .2784 -.0634 .0784 1.0000
BGNP -.3854 -.1120 .3545 -.0196 .0124 .9248 .0212
BCATH -.3741 -.5412 -.6158 .1158 -.0077 -.1550 .0335
BUSA .1902 -.2377 -.4586 .0005 .0113 -.7499 -.1049
BNONCR -.1013 -.1049 -.1260 .0479 -.0048 -.0181 -.0214
BGNP BCATH BUSA BNONCR
P1 .5613 -.3231 -.5518 -.0147
P2 .4356 -.1785 -.5051 .0135
P3 .3552 .0085 -.3617 .0203
P4 .0980 -.0843 -.2523 -.0309
P5 .1763 .1769 -.0598 .0284
M1 -.6224 .0761 .5374 -.0246
M2 -.4283 -.2067 .3016 -.0905
M3 -.3854 -.3741 .1902 -.1013
M4 -.1120 -.5412 -.2377 -.1049
M5 .3545 -.6158 -.4586 -.1260
BAGE -.0196 .1158 .0005 .0479
BMALE .0124 -.0077 .0113 -.0048
BCOM .9248 -.1550 -.7499 -.0181
BEDUC .0212 .0335 -.1049 -.0214
BGNP 1.0000 -.0180 -.7958 .0078
BCATH -.0180 1.0000 .1671 .1823
BUSA -.7958 .1671 1.0000 -.0043
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
BGNP BCATH BUSA BNONCR
BNONCR .0078 .1823 -.0043 1.0000
Preceding task required 581.17 seconds elapsed.
->
-> SUBTITLE Table 4 & 6: Preferred MODEL C, W ROW23 & ROW45 .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0 .
-> vector m = m1 to m5 .
-> COMPUTE PRED= (P +DP23*ROW23+ DP45*ROW45) * M( RELIG4CC ) +
-> ((1-P)-DP23*ROW23- DP45*ROW45) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
1.1 11475118.03 .193559817 .151609065 .390860896 34.0654569
54.7179474 64.5124380 81.9228615 90.6750703
.168037250 -7.5938254 -16.207308 -1.2502855
-.14734350 -1.0703016 14.4185019 5.12907786
2 11475118.03 .193559817 .151609065 .390860896 34.0654569
54.7179474 64.5124380 81.9228615 90.6750703
.168037250 -7.5938254 -16.207308 -1.2502855
-.14734350 -1.0703016 14.4185019 5.12907786
2.1 11429408.17 .075631469 .197556990 .509431568 36.8354152
55.1830544 67.2707955 82.0610617 89.3836113
.174203893 -7.5907347 -19.296731 -1.2205795
-.25191147 -1.3590988 18.3263355 5.03023105
3 11429408.17 .075631469 .197556990 .509431568 36.8354152
55.1830544 67.2707955 82.0610617 89.3836113
.174203893 -7.5907347 -19.296731 -1.2205795
-.25191147 -1.3590988 18.3263355 5.03023105
3.1 11428549.10 .062272176 .196601581 .522034989 37.2482735
54.8736087 67.3351353 81.8075485 89.2818058
.173277941 -7.5869486 -19.559857 -1.2228260
-.25607674 -1.2931467 18.6669251 5.02494625
4 11428549.10 .062272176 .196601581 .522034989 37.2482735
54.8736087 67.3351353 81.8075485 89.2818058
.173277941 -7.5869486 -19.559857 -1.2228260
-.25607674 -1.2931467 18.6669251 5.02494625
4.1 11428523.83 .060038212 .196210597 .523976334 37.3513969
54.8344612 67.3742670 81.7607763 89.2364141
.173160315 -7.5863297 -19.658545 -1.2230802
-.25842402 -1.2816219 18.7911463 5.02184287
5 11428523.83 .060038212 .196210597 .523976334 37.3513969
54.8344612 67.3742670 81.7607763 89.2364141
.173160315 -7.5863297 -19.658545 -1.2230802
-.25842402 -1.2816219 18.7911463 5.02184287
5.1 11428522.87 .059625815 .196089123 .524311494 37.3730698
54.8279057 67.3818853 81.7516076 89.2271030
.173140009 -7.5862323 -19.679078 -1.2231291
-.25891797 -1.2792917 18.8169101 5.02138832
6 11428522.87 .059625815 .196089123 .524311494 37.3730698
54.8279057 67.3818853 81.7516076 89.2271030
.173140009 -7.5862323 -19.679078 -1.2231291
-.25891797 -1.2792917 18.8169101 5.02138832
6.1 11428522.83 .059547667 .196064637 .524374167 37.3773359
54.8265929 67.3834622 81.7498151 89.2253124
.173136197 -7.5862138 -19.683070 -1.2231375
-.25901439 -1.2788432 18.8219327 5.02130798
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 16 72419815.1680 4526238.44800
Residual 17619 11428522.8320 648.64764
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36126
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .059547667 .028663561 .003364260 .115731074
DP23 .196064637 .025941302 .145217126 .246912148
DP45 .524374167 .039969487 .446030030 .602718304
M1 37.377335899 .997546933 35.422045515 39.332626282
M2 54.826592912 .632854616 53.586135442 56.067050383
M3 67.383462151 .699888897 66.011610879 68.755313423
M4 81.749815073 .788611945 80.204057875 83.295572270
M5 89.225312407 .760543848 87.734571447 90.716053366
BAGE .173136197 .012392983 .148844727 .197427667
BMALE -7.586213762 .385670441 -8.342165867 -6.830261658
BCOM -19.68307008 1.286110608 -22.20397373 -17.16216643
BEDUC -1.223137472 .074490671 -1.369146535 -1.077128409
BGNP -.259014388 .033235169 -.324158597 -.193870178
BCATH -1.278843182 .527515773 -2.312826129 -.244860236
BUSA 18.821932720 1.553063375 15.777775316 21.866090125
BNONCR 5.021307979 1.337870691 2.398949462 7.643666495
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7583 -.6986 -.4187 -.1000 .0853 .2198
DP23 -.7583 1.0000 .5167 .0410 .0717 -.0846 -.0076
DP45 -.6986 .5167 1.0000 .2071 -.0128 -.1962 -.2569
M1 -.4187 .0410 .2071 1.0000 .2107 .2323 .0087
M2 -.1000 .0717 -.0128 .2107 1.0000 .2859 .2359
M3 .0853 -.0846 -.1962 .2323 .2859 1.0000 .3807
M4 .2198 -.0076 -.2569 .0087 .2359 .3807 1.0000
M5 .4472 -.1273 -.3694 -.2697 .0676 .2133 .4380
BAGE -.0079 .0488 .0427 .0446 .0138 -.0446 -.0592
BMALE .0068 -.0111 -.0004 -.1832 -.2992 -.2634 -.2303
BCOM .6077 -.2819 -.3241 -.6635 -.4112 -.3242 -.0557
BEDUC .0302 .0073 -.0090 -.0433 -.0575 -.0009 -.0093
BGNP .5678 -.2704 -.2722 -.6239 -.4107 -.3671 -.1064
BCATH -.3217 .2486 .2706 .0768 -.1896 -.3532 -.5284
BUSA -.5472 .2159 .2301 .5337 .2936 .1941 -.2203
BNONCR -.0125 .0300 .0061 -.0256 -.0883 -.0954 -.0995
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4472 -.0079 .0068 .6077 .0302 .5678 -.3217
DP23 -.1273 .0488 -.0111 -.2819 .0073 -.2704 .2486
DP45 -.3694 .0427 -.0004 -.3241 -.0090 -.2722 .2706
M1 -.2697 .0446 -.1832 -.6635 -.0433 -.6239 .0768
M2 .0676 .0138 -.2992 -.4112 -.0575 -.4107 -.1896
M3 .2133 -.0446 -.2634 -.3242 -.0009 -.3671 -.3532
M4 .4380 -.0592 -.2303 -.0557 -.0093 -.1064 -.5284
M5 1.0000 -.0924 -.2251 .3802 .0128 .3764 -.6079
BAGE -.0924 1.0000 -.0114 -.0027 .2798 -.0229 .1122
BMALE -.2251 -.0114 1.0000 .0104 -.0629 .0103 -.0096
BCOM .3802 -.0027 .0104 1.0000 .0838 .9268 -.1681
BEDUC .0128 .2798 -.0629 .0838 1.0000 .0306 .0421
BGNP .3764 -.0229 .0103 .9268 .0306 1.0000 -.0447
BCATH -.6079 .1122 -.0096 -.1681 .0421 -.0447 1.0000
BUSA -.4378 -.0021 .0127 -.7528 -.1115 -.8070 .1608
BNONCR -.1208 .0467 -.0051 -.0197 -.0200 .0032 .1774
BUSA BNONCR
P -.5472 -.0125
DP23 .2159 .0300
DP45 .2301 .0061
M1 .5337 -.0256
M2 .2936 -.0883
M3 .1941 -.0954
M4 -.2203 -.0995
M5 -.4378 -.1208
BAGE -.0021 .0467
BMALE .0127 -.0051
BCOM -.7528 -.0197
BEDUC -.1115 -.0200
BGNP -.8070 .0032
BCATH .1608 .1774
BUSA 1.0000 -.0080
BNONCR -.0080 1.0000
Preceding task required 314.62 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for parent catholic.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* MFCATH .
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11474876.26 .192422359 .146897747 .387339959 34.0760673
54.6769654 64.3822258 81.7572677 90.5714830
.168072616 -7.5953438 -16.132042 -1.2509504
-.14571878 -.90891697 14.4731914 5.09582055
.011274907
2 11474876.26 .192422359 .146897747 .387339959 34.0760673
54.6769654 64.3822258 81.7572677 90.5714830
.168072616 -7.5953438 -16.132042 -1.2509504
-.14571878 -.90891697 14.4731914 5.09582055
.011274907
2.1 11427147.48 .068137213 .177109283 .497249147 37.0879385
55.0508293 66.9487467 81.5951473 89.1454559
.174931840 -7.5961922 -19.158171 -1.2229284
-.24717217 -.92608381 18.5021354 4.92703431
.045778415
3 11427147.48 .068137213 .177109283 .497249147 37.0879385
55.0508293 66.9487467 81.5951473 89.1454559
.174931840 -7.5961922 -19.158171 -1.2229284
-.24717217 -.92608381 18.5021354 4.92703431
.045778415
3.1 11426112.13 .051914491 .176807691 .512655000 37.4786655
54.7025420 66.9541642 81.2633497 89.0467762
.173828279 -7.5908137 -19.376916 -1.2252741
-.25016569 -.83762746 18.8453545 4.91406004
.047662939
4 11426112.13 .051914491 .176807691 .512655000 37.4786655
54.7025420 66.9541642 81.2633497 89.0467762
.173828279 -7.5908137 -19.376916 -1.2252741
-.25016569 -.83762746 18.8453545 4.91406004
.047662939
4.1 11426080.53 .049058611 .176006187 .514775141 37.5958215
54.6537660 66.9825900 81.1998979 88.9900354
.173714260 -7.5901730 -19.478337 -1.2256160
-.25253977 -.81238959 18.9824476 4.90764573
.048913429
5 11426080.53 .049058611 .176006187 .514775141 37.5958215
54.6537660 66.9825900 81.1998979 88.9900354
.173714260 -7.5901730 -19.478337 -1.2256160
-.25253977 -.81238959 18.9824476 4.90764573
.048913429
5.1 11426079.25 .048528670 .175824324 .515174345 37.6206091
54.6453161 66.9881913 81.1861987 88.9794671
.173692607 -7.5900476 -19.499602 -1.2256803
-.25303632 -.80798195 19.0114048 4.90672862
.049074285
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11426079.25 .048528670 .175824324 .515174345 37.6206091
54.6453161 66.9881913 81.1861987 88.9794671
.173692607 -7.5900476 -19.499602 -1.2256803
-.25303632 -.80798195 19.0114048 4.90672862
.049074285
6.1 11426079.20 .048423491 .175784919 .515251383 37.6257259
54.6435753 66.9894784 81.1835534 88.9772382
.173688503 -7.5900245 -19.504002 -1.2256922
-.25314039 -.80707132 19.0173101 4.90654816
.049110333
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72422258.8047 4260132.87086
Residual 17618 11426079.1953 648.54576
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36139
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .048423491 .029925689 -.010233812 .107080794
DP23 .175784919 .028184615 .120540293 .231029545
DP45 .515251383 .040683871 .435506982 .594995783
M1 37.625725892 .989949223 35.685327763 39.566124022
M2 54.643575273 .641552338 53.386069406 55.901081140
M3 66.989478379 .717098621 65.583894344 68.395062414
M4 81.183553388 .820845087 79.574616046 82.792490730
M5 88.977238170 .777456096 87.453347530 90.501128809
BAGE .173688503 .012396406 .149390325 .197986681
BMALE -7.590024453 .385647800 -8.345932183 -6.834116724
BCOM -19.50400187 1.288483935 -22.02955748 -16.97844626
BEDUC -1.225692191 .074496111 -1.371711918 -1.079672464
BGNP -.253140391 .033405456 -.318618381 -.187662401
BCATH -.807071320 .577477243 -1.938983680 .324841041
BUSA 19.017310103 1.556592935 15.966234402 22.068385804
BNONCR 4.906548163 1.338983593 2.282008238 7.531088087
DSEPRT .049110333 .025000061 .000107747 .098112919
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.6216 -.6624 -.4415 -.0716 .1281 .2628
DP23 -.6216 1.0000 .5234 -.0050 .1043 .0176 .1032
DP45 -.6624 .5234 1.0000 .1955 -.0028 -.1579 -.2079
M1 -.4415 -.0050 .1955 1.0000 .2045 .1893 -.0304
M2 -.0716 .1043 -.0028 .2045 1.0000 .3166 .2699
M3 .1281 .0176 -.1579 .1893 .3166 1.0000 .4278
M4 .2628 .1032 -.2079 -.0304 .2699 .4278 1.0000
M5 .4736 -.0404 -.3394 -.2947 .0950 .2484 .4644
BAGE -.0121 .0352 .0388 .0461 .0119 -.0514 -.0650
BMALE .0077 -.0078 .0005 -.1854 -.2945 -.2554 -.2196
BCOM .5901 -.2779 -.3300 -.6535 -.4177 -.3256 -.0695
BEDUC .0335 .0136 -.0071 -.0467 -.0540 .0029 -.0046
BGNP .5475 -.2713 -.2787 -.6126 -.4173 -.3712 -.1235
BCATH -.3681 .0599 .1976 .1259 -.2338 -.4127 -.5802
BUSA -.5527 .1737 .2243 .5413 .2824 .1718 -.2240
BNONCR -.0034 .0424 .0107 -.0328 -.0804 -.0822 -.0829
DSEPRT -.2133 -.3540 -.1036 .1513 -.1133 -.2522 -.3090
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4736 -.0121 .0077 .5901 .0335 .5475 -.3681
DP23 -.0404 .0352 -.0078 -.2779 .0136 -.2713 .0599
DP45 -.3394 .0388 .0005 -.3300 -.0071 -.2787 .1976
M1 -.2947 .0461 -.1854 -.6535 -.0467 -.6126 .1259
M2 .0950 .0119 -.2945 -.4177 -.0540 -.4173 -.2338
M3 .2484 -.0514 -.2554 -.3256 .0029 -.3712 -.4127
M4 .4644 -.0650 -.2196 -.0695 -.0046 -.1235 -.5802
M5 1.0000 -.0933 -.2192 .3671 .0160 .3615 -.6211
BAGE -.0933 1.0000 -.0116 .0001 .2792 -.0193 .1120
BMALE -.2192 -.0116 1.0000 .0099 -.0628 .0098 -.0110
BCOM .3671 .0001 .0099 1.0000 .0834 .9270 -.1336
BEDUC .0160 .2792 -.0628 .0834 1.0000 .0300 .0317
BGNP .3615 -.0193 .0098 .9270 .0300 1.0000 -.0156
BCATH -.6211 .1120 -.0110 -.1336 .0317 -.0156 1.0000
BUSA -.4451 -.0016 .0125 -.7488 -.1126 -.8010 .1728
BNONCR -.1097 .0456 -.0049 -.0209 -.0192 .0012 .1442
DSEPRT -.2226 .0277 -.0067 .0221 -.0198 .0367 .4252
BUSA BNONCR DSEPRT
P -.5527 -.0034 -.2133
DP23 .1737 .0424 -.3540
DP45 .2243 .0107 -.1036
M1 .5413 -.0328 .1513
M2 .2824 -.0804 -.1133
M3 .1718 -.0822 -.2522
M4 -.2240 -.0829 -.3090
M5 -.4451 -.1097 -.2226
BAGE -.0016 .0456 .0277
BMALE .0125 -.0049 -.0067
BCOM -.7488 -.0209 .0221
BEDUC -.1126 -.0192 -.0198
BGNP -.8010 .0012 .0367
BCATH .1728 .1442 .4252
BUSA 1.0000 -.0115 .0936
BNONCR -.0115 1.0000 -.0408
DSEPRT .0936 -.0408 1.0000
Preceding task required 331.31 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for age.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* Age .
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11475778.73 .193894556 .151238995 .389021976 34.0405535
54.7015280 64.5001619 81.9154776 90.6515120
.163337496 -7.5922054 -16.241036 -1.2483133
-.14763811 -1.0568801 14.4433168 5.15089167
-.00035867
2 11475778.73 .193894556 .151238995 .389021976 34.0405535
54.7015280 64.5001619 81.9154776 90.6515120
.163337496 -7.5922054 -16.241036 -1.2483133
-.14763811 -1.0568801 14.4433168 5.15089167
-.00035867
2.1 11429376.33 .075654126 .197263211 .509412727 36.8640427
55.1656935 67.2860404 82.0568850 89.3857322
.174696152 -7.5912766 -19.299671 -1.2207599
-.25210545 -1.3580806 18.3354227 5.02889029
.000052799
3 11429376.33 .075654126 .197263211 .509412727 36.8640427
55.1656935 67.2860404 82.0568850 89.3857322
.174696152 -7.5912766 -19.299671 -1.2207599
-.25210545 -1.3580806 18.3354227 5.02889029
.000052799
3.1 11428547.19 .062157644 .196597843 .522101106 37.2490081
54.8753348 67.3335731 81.8055152 89.2782603
.173156839 -7.5868726 -19.565656 -1.2228163
-.25619519 -1.2922751 18.6734129 5.02515513
-.00001353
4 11428547.19 .062157644 .196597843 .522101106 37.2490081
54.8753348 67.3335731 81.8055152 89.2782603
.173156839 -7.5868726 -19.565656 -1.2228163
-.25619519 -1.2922751 18.6734129 5.02515513
-.00001353
4.1 11428521.09 .060086622 .196187047 .523791634 37.3484877
54.8341752 67.3750832 81.7604549 89.2349600
.172847453 -7.5861497 -19.661256 -1.2229229
-.25845565 -1.2812815 18.7929806 5.02329785
-.00003592
5 11428521.09 .060086622 .196187047 .523791634 37.3484877
54.8341752 67.3750832 81.7604549 89.2349600
.172847453 -7.5861497 -19.661256 -1.2229229
-.25845565 -1.2812815 18.7929806 5.02329785
-.00003592
5.1 11428519.98 .059672299 .196057102 .524104208 37.3704741
54.8273082 67.3830745 81.7511154 89.2251533
.172778243 -7.5860223 -19.682819 -1.2229485
-.25896981 -1.2788468 18.8197164 5.02306580
-.00004146
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11428519.98 .059672299 .196057102 .524104208 37.3704741
54.8273082 67.3830745 81.7511154 89.2251533
.172778243 -7.5860223 -19.682819 -1.2229485
-.25896981 -1.2788468 18.8197164 5.02306580
-.00004146
6.1 11428519.94 .059592101 .196029678 .524163470 37.3750068
54.8257833 67.3848806 81.7492170 89.2232426
.172765387 -7.5859967 -19.687117 -1.2229518
-.25907283 -1.2783702 18.8250741 5.02302800
-.00004248
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72419818.0624 4259989.29779
Residual 17618 11428519.9376 648.68430
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36126
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .059592101 .028672869 .003390449 .115793754
DP23 .196029678 .025942399 .145180018 .246879338
DP45 .524163470 .040093829 .445575610 .602751331
M1 37.375006839 .999711940 35.415472821 39.334540857
M2 54.825783320 .633015046 53.585011387 56.066555253
M3 67.384880596 .699866392 66.013073430 68.756687761
M4 81.749217039 .788589736 80.203503367 83.294930712
M5 89.223242594 .761077001 87.731456597 90.715028591
BAGE .172765387 .013589966 .146127713 .199403062
BMALE -7.585996660 .385693611 -8.341994184 -6.829999136
BCOM -19.68711667 1.286968646 -22.20970216 -17.16453117
BEDUC -1.222951780 .074540783 -1.369059067 -1.076844492
BGNP -.259072833 .033238934 -.324224422 -.193921243
BCATH -1.278370215 .527570246 -2.312459938 -.244280492
BUSA 18.825074150 1.553373498 15.780308862 21.869839438
BNONCR 5.023028003 1.338150764 2.400120505 7.645935500
DSEPRT -.000042477 .000640314 -.001297556 .001212601
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7582 -.6983 -.4195 -.0995 .0853 .2196
DP23 -.7582 1.0000 .5160 .0416 .0715 -.0847 -.0075
DP45 -.6983 .5160 1.0000 .2110 -.0140 -.1956 -.2558
M1 -.4195 .0416 .2110 1.0000 .2090 .2319 .0089
M2 -.0995 .0715 -.0140 .2090 1.0000 .2858 .2357
M3 .0853 -.0847 -.1956 .2319 .2858 1.0000 .3807
M4 .2196 -.0075 -.2558 .0089 .2357 .3807 1.0000
M5 .4456 -.1266 -.3649 -.2666 .0670 .2132 .4379
BAGE -.0188 .0497 .0713 .0667 .0062 -.0407 -.0526
BMALE .0071 -.0112 -.0010 -.1833 -.2990 -.2634 -.2303
BCOM .6060 -.2812 -.3199 -.6593 -.4114 -.3240 -.0555
BEDUC .0311 .0068 -.0118 -.0455 -.0569 -.0009 -.0094
BGNP .5670 -.2701 -.2699 -.6215 -.4107 -.3670 -.1063
BCATH -.3212 .2484 .2687 .0759 -.1894 -.3532 -.5284
BUSA -.5463 .2155 .2277 .5312 .2937 .1940 -.2203
BNONCR -.0120 .0297 .0046 -.0267 -.0880 -.0953 -.0996
DSEPRT -.0275 .0124 .0787 .0631 -.0168 .0005 .0041
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4456 -.0188 .0071 .6060 .0311 .5670 -.3212
DP23 -.1266 .0497 -.0112 -.2812 .0068 -.2701 .2484
DP45 -.3649 .0713 -.0010 -.3199 -.0118 -.2699 .2687
M1 -.2666 .0667 -.1833 -.6593 -.0455 -.6215 .0759
M2 .0670 .0062 -.2990 -.4114 -.0569 -.4107 -.1894
M3 .2132 -.0407 -.2634 -.3240 -.0009 -.3670 -.3532
M4 .4379 -.0526 -.2303 -.0555 -.0094 -.1063 -.5284
M5 1.0000 -.0689 -.2252 .3810 .0114 .3766 -.6079
BAGE -.0689 1.0000 -.0137 .0126 .2402 -.0143 .0973
BMALE -.2252 -.0137 1.0000 .0101 -.0626 .0102 -.0095
BCOM .3810 .0126 .0101 1.0000 .0824 .9267 -.1684
BEDUC .0114 .2402 -.0626 .0824 1.0000 .0300 .0425
BGNP .3766 -.0143 .0102 .9267 .0300 1.0000 -.0449
BCATH -.6079 .0973 -.0095 -.1684 .0425 -.0449 1.0000
BUSA -.4382 -.0099 .0129 -.7529 -.1107 -.8071 .1611
BNONCR -.1214 .0348 -.0049 -.0203 -.0193 .0029 .1776
DSEPRT .0383 .4102 -.0079 .0375 -.0358 .0167 -.0130
BUSA BNONCR DSEPRT
P -.5463 -.0120 -.0275
DP23 .2155 .0297 .0124
DP45 .2277 .0046 .0787
M1 .5312 -.0267 .0631
M2 .2937 -.0880 -.0168
M3 .1940 -.0953 .0005
M4 -.2203 -.0996 .0041
M5 -.4382 -.1214 .0383
BAGE -.0099 .0348 .4102
BMALE .0129 -.0049 -.0079
BCOM -.7529 -.0203 .0375
BEDUC -.1107 -.0193 -.0358
BGNP -.8071 .0029 .0167
BCATH .1611 .1776 -.0130
BUSA 1.0000 -.0076 -.0204
BNONCR -.0076 1.0000 -.0191
DSEPRT -.0204 -.0191 1.0000
Preceding task required 320.49 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for male.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* Male.
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11474648.46 .197209567 .151599153 .390587364 34.1036989
54.7641075 64.5504308 81.9664513 90.7233197
.168018548 -7.6899178 -16.200062 -1.2514694
-.14717490 -1.0703455 14.4073465 5.13511362
-.00783663
2 11474648.46 .197209567 .151599153 .390587364 34.1036989
54.7641075 64.5504308 81.9664513 90.7233197
.168018548 -7.6899178 -16.200062 -1.2514694
-.14717490 -1.0703455 14.4073465 5.13511362
-.00783663
2.1 11428693.77 .085929909 .197417591 .508654534 36.9283099
55.2552366 67.3304865 82.1437038 89.4751745
.174230374 -7.7635513 -19.285731 -1.2234163
-.25163664 -1.3582054 18.3033740 5.04547208
-.02213222
3 11428693.77 .085929909 .197417591 .508654534 36.9283099
55.2552366 67.3304865 82.1437038 89.4751745
.174230374 -7.7635513 -19.285731 -1.2234163
-.25163664 -1.3582054 18.3033740 5.04547208
-.02213222
3.1 11427793.94 .071863719 .196541438 .521624573 37.3688387
54.9281571 67.3781076 81.8897971 89.3748008
.173295944 -7.7550865 -19.552812 -1.2254380
-.25580969 -1.2921424 18.6444482 5.03903961
-.02133936
4 11427793.94 .071863719 .196541438 .521624573 37.3688387
54.9281571 67.3781076 81.8897971 89.3748008
.173295944 -7.7550865 -19.552812 -1.2254380
-.25580969 -1.2921424 18.6444482 5.03903961
-.02133936
4.1 11427766.82 .069924270 .196192856 .523623117 37.4744939
54.8926192 67.4217842 81.8441124 89.3307764
.173176233 -7.7609557 -19.653756 -1.2257913
-.25821958 -1.2801159 18.7720038 5.03622832
-.02215013
5 11427766.82 .069924270 .196192856 .523623117 37.4744939
54.8926192 67.4217842 81.8441124 89.3307764
.173176233 -7.7609557 -19.653756 -1.2257913
-.25821958 -1.2801159 18.7720038 5.03622832
-.02215013
5.1 11427765.76 .069532339 .196069566 .523972645 37.4983287
54.8854533 67.4289045 81.8352649 89.3219222
.173156061 -7.7615095 -19.674588 -1.2258501
-.25871603 -1.2777276 18.7978508 5.03584749
-.02223085
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11427765.76 .069532339 .196069566 .523972645 37.4983287
54.8854533 67.4289045 81.8352649 89.3219222
.173156061 -7.7615095 -19.674588 -1.2258501
-.25871603 -1.2777276 18.7978508 5.03584749
-.02223085
6.1 11427765.72 .069459081 .196045643 .524039895 37.5029863
54.8841107 67.4305255 81.8334891 89.3201613
.173152198 -7.7616716 -19.678758 -1.2258613
-.25881633 -1.2772482 18.8030629 5.03578185
-.02225332
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72420572.2801 4260033.66354
Residual 17618 11427765.7199 648.64149
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36130
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .069459081 .030132391 .010396623 .128521540
DP23 .196045643 .025976324 .145129487 .246961800
DP45 .524039895 .040003485 .445629118 .602450672
M1 37.502986276 .999993579 35.542900218 39.463072334
M2 54.884110695 .636141638 53.637210333 56.131011058
M3 67.430525456 .703294841 66.051998192 68.809052720
M4 81.833489148 .792023560 80.281044841 83.385933455
M5 89.320161325 .764844391 87.820990871 90.819331780
BAGE .173152198 .012393035 .148860627 .197443768
BMALE -7.761671567 .418359972 -8.581698380 -6.941644754
BCOM -19.67875755 1.285879896 -22.19920899 -17.15830611
BEDUC -1.225861330 .074531367 -1.371950162 -1.079772498
BGNP -.258816328 .033228656 -.323947771 -.193684884
BCATH -1.277248188 .527485859 -2.311172506 -.243323871
BUSA 18.803062924 1.553210036 15.758618038 21.847507809
BNONCR 5.035781848 1.337916298 2.413333927 7.658229770
DSEPRT -.022253320 .020521150 -.062476798 .017970158
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7234 -.6693 -.3694 -.0553 .1100 .2345
DP23 -.7234 1.0000 .5181 .0423 .0710 -.0846 -.0085
DP45 -.6693 .5181 1.0000 .2057 -.0146 -.1967 -.2577
M1 -.3694 .0423 .2057 1.0000 .2188 .2393 .0164
M2 -.0553 .0710 -.0146 .2188 1.0000 .2940 .2437
M3 .1100 -.0846 -.1967 .2393 .2940 1.0000 .3867
M4 .2345 -.0085 -.2577 .0164 .2437 .3867 1.0000
M5 .4516 -.1278 -.3695 -.2582 .0780 .2218 .4440
BAGE -.0065 .0487 .0426 .0445 .0139 -.0445 -.0589
BMALE -.1155 -.0089 .0062 -.2013 -.3153 -.2812 -.2481
BCOM .5762 -.2830 -.3248 -.6609 -.4091 -.3225 -.0547
BEDUC .0179 .0072 -.0085 -.0455 -.0611 -.0039 -.0121
BGNP .5379 -.2714 -.2728 -.6216 -.4088 -.3653 -.1053
BCATH -.3027 .2490 .2706 .0765 -.1885 -.3514 -.5259
BUSA -.5194 .2168 .2309 .5311 .2914 .1926 -.2206
BNONCR -.0085 .0299 .0058 -.0250 -.0866 -.0940 -.0982
DSEPRT -.3026 -.0011 .0080 -.0910 -.1268 -.0933 -.0809
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4516 -.0065 -.1155 .5762 .0179 .5379 -.3027
DP23 -.1278 .0487 -.0089 -.2830 .0072 -.2714 .2490
DP45 -.3695 .0426 .0062 -.3248 -.0085 -.2728 .2706
M1 -.2582 .0445 -.2013 -.6609 -.0455 -.6216 .0765
M2 .0780 .0139 -.3153 -.4091 -.0611 -.4088 -.1885
M3 .2218 -.0445 -.2812 -.3225 -.0039 -.3653 -.3514
M4 .4440 -.0589 -.2481 -.0547 -.0121 -.1053 -.5259
M5 1.0000 -.0917 -.2469 .3782 .0091 .3743 -.6044
BAGE -.0917 1.0000 -.0107 -.0026 .2796 -.0227 .1122
BMALE -.2469 -.0107 1.0000 .0088 -.0453 .0094 -.0092
BCOM .3782 -.0026 .0088 1.0000 .0835 .9268 -.1680
BEDUC .0091 .2796 -.0453 .0835 1.0000 .0303 .0421
BGNP .3743 -.0227 .0094 .9268 .0303 1.0000 -.0446
BCATH -.6044 .1122 -.0092 -.1680 .0421 -.0446 1.0000
BUSA -.4360 -.0023 .0142 -.7527 -.1111 -.8069 .1607
BNONCR -.1190 .0467 -.0083 -.0195 -.0203 .0034 .1773
DSEPRT -.0880 -.0029 .3877 .0100 .0344 .0106 -.0124
BUSA BNONCR DSEPRT
P -.5194 -.0085 -.3026
DP23 .2168 .0299 -.0011
DP45 .2309 .0058 .0080
M1 .5311 -.0250 -.0910
M2 .2914 -.0866 -.1268
M3 .1926 -.0940 -.0933
M4 -.2206 -.0982 -.0809
M5 -.4360 -.1190 -.0880
BAGE -.0023 .0467 -.0029
BMALE .0142 -.0083 .3877
BCOM -.7527 -.0195 .0100
BEDUC -.1111 -.0203 .0344
BGNP -.8069 .0034 .0106
BCATH .1607 .1773 -.0124
BUSA 1.0000 -.0082 -.0074
BNONCR -.0082 1.0000 -.0103
DSEPRT -.0074 -.0103 1.0000
Preceding task required 287.98 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for education.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* EducYr .
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11473993.35 .193467862 .151893195 .391603384 34.0547222
54.7196781 64.5094017 81.9148740 90.6644944
.168360293 -7.5989012 -16.172039 -1.2656250
-.14719662 -1.0713844 14.4611195 5.13659440
-.00120937
2 11473993.35 .193467862 .151893195 .391603384 34.0547222
54.7196781 64.5094017 81.9148740 90.6644944
.168360293 -7.5989012 -16.172039 -1.2656250
-.14719662 -1.0713844 14.4611195 5.13659440
-.00120937
2.1 11426986.70 .076720653 .197500863 .512321683 36.7880198
55.1746381 67.2383076 82.0156181 89.3532414
.176093044 -7.6223329 -19.066376 -1.2904656
-.24916855 -1.3537687 18.4641949 5.09841972
-.00832497
3 11426986.70 .076720653 .197500863 .512321683 36.7880198
55.1746381 67.2383076 82.0156181 89.3532414
.176093044 -7.6223329 -19.066376 -1.2904656
-.24916855 -1.3537687 18.4641949 5.09841972
-.00832497
3.1 11426298.79 .064253792 .197390019 .524399103 37.0232959
54.9858196 67.2100007 81.7342841 89.2915739
.174856138 -7.6131318 -19.265670 -1.2835399
-.25113693 -1.2902156 18.7055408 5.07341095
-.00720398
4 11426298.79 .064253792 .197390019 .524399103 37.0232959
54.9858196 67.2100007 81.7342841 89.2915739
.174856138 -7.6131318 -19.265670 -1.2835399
-.25113693 -1.2902156 18.7055408 5.07341095
-.00720398
4.1 11426268.75 .062646439 .196912576 .525580590 37.1318277
54.9309653 67.2623405 81.7100646 89.2590028
.174733485 -7.6118698 -19.353123 -1.2821677
-.25323354 -1.2837511 18.7990554 5.07097611
-.00703371
5 11426268.75 .062646439 .196912576 .525580590 37.1318277
54.9309653 67.2623405 81.7100646 89.2590028
.174733485 -7.6118698 -19.353123 -1.2821677
-.25323354 -1.2837511 18.7990554 5.07097611
-.00703371
5.1 11426266.70 .062114854 .196787824 .525961736 37.1592475
54.9233900 67.2708908 81.7020747 89.2477112
.174686918 -7.6114030 -19.381610 -1.2814216
-.25389137 -1.2812130 18.8281889 5.06965959
-.00693643
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11426266.70 .062114854 .196787824 .525961736 37.1592475
54.9233900 67.2708908 81.7020747 89.2477112
.174686918 -7.6114030 -19.381610 -1.2814216
-.25389137 -1.2812130 18.8281889 5.06965959
-.00693643
6.1 11426266.56 .062002874 .196753383 .526034755 37.1668690
54.9201466 67.2741302 81.7006124 89.2452839
.174677746 -7.6113031 -19.388173 -1.2812814
-.25404751 -1.2807190 18.8348549 5.06947916
-.00691883
7 11426266.56 .062002874 .196753383 .526034755 37.1668690
54.9201466 67.2741302 81.7006124 89.2452839
.174677746 -7.6113031 -19.388173 -1.2812814
-.25404751 -1.2807190 18.8348549 5.06947916
-.00691883
7.1 11426266.55 .061968222 .196744653 .526058743 37.1688285
54.9195245 67.2748083 81.7001304 89.2445368
.174674780 -7.6112724 -19.390097 -1.2812331
-.25409244 -1.2805570 18.8368046 5.06940277
-.00691260
Run stopped after 14 model evaluations and 7 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72422071.4463 4260121.84978
Residual 17618 11426266.5537 648.55639
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36138
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .061968222 .028505161 .006095295 .117841150
DP23 .196744653 .025838623 .146098403 .247390902
DP45 .526058743 .039840409 .447967612 .604149874
M1 37.168828517 1.003632324 35.201610160 39.136046874
M2 54.919524492 .631723239 53.681284628 56.157764356
M3 67.274808310 .701165804 65.900454169 68.649162451
M4 81.700130410 .789768306 80.152106624 83.248154197
M5 89.244536771 .761849061 87.751237460 90.737836081
BAGE .174674780 .012416353 .150337504 .199012056
BMALE -7.611272375 .385851850 -8.367580063 -6.854964687
BCOM -19.39009717 1.293449964 -21.92538669 -16.85480765
BEDUC -1.281233089 .080486940 -1.438995431 -1.123470748
BGNP -.254092440 .033394786 -.319549514 -.188635365
BCATH -1.280557024 .527509360 -2.314527405 -.246586643
BUSA 18.836804628 1.559332207 15.780359683 21.893249573
BNONCR 5.069402770 1.338067546 2.446658386 7.692147153
DSEPRT -.006912595 .003659075 -.014084743 .000259552
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7542 -.6969 -.4204 -.0991 .0796 .2174
DP23 -.7542 1.0000 .5129 .0350 .0702 -.0827 -.0053
DP45 -.6969 .5129 1.0000 .2087 -.0139 -.1930 -.2564
M1 -.4204 .0350 .2087 1.0000 .2116 .2345 .0072
M2 -.0991 .0702 -.0139 .2116 1.0000 .2882 .2371
M3 .0796 -.0827 -.1930 .2345 .2882 1.0000 .3787
M4 .2174 -.0053 -.2564 .0072 .2371 .3787 1.0000
M5 .4476 -.1246 -.3710 -.2748 .0685 .2080 .4355
BAGE -.0078 .0493 .0456 .0444 .0122 -.0457 -.0605
BMALE .0066 -.0111 -.0017 -.1821 -.2988 -.2621 -.2290
BCOM .6080 -.2769 -.3214 -.6650 -.4108 -.3281 -.0576
BEDUC .0258 .0080 -.0225 -.0473 -.0368 -.0011 -.0004
BGNP .5692 -.2661 -.2718 -.6269 -.4096 -.3716 -.1076
BCATH -.3212 .2477 .2710 .0783 -.1910 -.3528 -.5276
BUSA -.5476 .2117 .2325 .5380 .2907 .1986 -.2182
BNONCR -.0127 .0303 .0074 -.0249 -.0891 -.0963 -.0995
DSEPRT .0162 -.0049 -.0533 -.0346 .0085 .0127 .0412
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4476 -.0078 .0066 .6080 .0258 .5692 -.3212
DP23 -.1246 .0493 -.0111 -.2769 .0080 -.2661 .2477
DP45 -.3710 .0456 -.0017 -.3214 -.0225 -.2718 .2710
M1 -.2748 .0444 -.1821 -.6650 -.0473 -.6269 .0783
M2 .0685 .0122 -.2988 -.4108 -.0368 -.4096 -.1910
M3 .2080 -.0457 -.2621 -.3281 -.0011 -.3716 -.3528
M4 .4355 -.0605 -.2290 -.0576 -.0004 -.1076 -.5276
M5 1.0000 -.0936 -.2240 .3809 .0201 .3792 -.6067
BAGE -.0936 1.0000 -.0134 .0011 .2347 -.0214 .1125
BMALE -.2240 -.0134 1.0000 .0081 -.0458 .0094 -.0097
BCOM .3809 .0011 .0081 1.0000 .0546 .9267 -.1673
BEDUC .0201 .2347 -.0458 .0546 1.0000 .0214 .0376
BGNP .3792 -.0214 .0094 .9267 .0214 1.0000 -.0448
BCATH -.6067 .1125 -.0097 -.1673 .0376 -.0448 1.0000
BUSA -.4413 .0010 .0112 -.7496 -.1219 -.8067 .1605
BNONCR -.1212 .0479 -.0058 -.0184 -.0264 .0035 .1775
DSEPRT .0543 -.0667 .0335 -.0356 .3810 .0042 -.0233
Asymptotic Correlation Matrix of the Parameter Estimates (continued)
BUSA BNONCR DSEPRT
P -.5476 -.0127 .0162
DP23 .2117 .0303 -.0049
DP45 .2325 .0074 -.0533
M1 .5380 -.0249 -.0346
M2 .2907 -.0891 .0085
M3 .1986 -.0963 .0127
M4 -.2182 -.0995 .0412
M5 -.4413 -.1212 .0543
BAGE .0010 .0479 -.0667
BMALE .0112 -.0058 .0335
BCOM -.7496 -.0184 -.0356
BEDUC -.1219 -.0264 .3810
BGNP -.8067 .0035 .0042
BCATH .1605 .1775 -.0233
BUSA 1.0000 -.0070 -.0756
BNONCR -.0070 1.0000 -.0225
DSEPRT -.0756 -.0225 1.0000
Preceding task required 279.63 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for Communist society.
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* CommstCC .
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11475400.34 .199512402 .149068645 .386534372 34.2179512
54.7520430 64.5633637 81.9871235 90.7577682
.167501692 -7.5916606 -16.517903 -1.2446195
-.14879524 -1.0957729 14.3890846 5.16268741
-.01460657
2 11475400.34 .199512402 .149068645 .386534372 34.2179512
54.7520430 64.5633637 81.9871235 90.7577682
.167501692 -7.5916606 -16.517903 -1.2446195
-.14879524 -1.0957729 14.3890846 5.16268741
-.01460657
2.1 11428299.55 .087018207 .194357898 .503239413 36.9843314
55.2100061 67.3429597 82.1837451 89.4818072
.173099427 -7.5864287 -19.672023 -1.2118968
-.25318880 -1.3752577 18.2104141 5.09871139
-.03025115
3 11428299.55 .087018207 .194357898 .503239413 36.9843314
55.2100061 67.3429597 82.1837451 89.4818072
.173099427 -7.5864287 -19.672023 -1.2118968
-.25318880 -1.3752577 18.2104141 5.09871139
-.03025115
3.1 11427459.07 .073129430 .193810386 .516093726 37.4302495
54.8965727 67.3838949 81.9737291 89.3706532
.172282016 -7.5829083 -19.953182 -1.2145698
-.25785070 -1.3155422 18.5488373 5.08765331
-.02993645
4 11427459.07 .073129430 .193810386 .516093726 37.4302495
54.8965727 67.3838949 81.9737291 89.3706532
.172282016 -7.5829083 -19.953182 -1.2145698
-.25785070 -1.3155422 18.5488373 5.08765331
-.02993645
4.1 11427435.40 .071411525 .193396507 .517715167 37.5250284
54.8613292 67.4272979 81.9289673 89.3322643
.172143124 -7.5822227 -20.054125 -1.2145236
-.26001477 -1.3054930 18.6618955 5.08614490
-.03086925
5 11427435.40 .071411525 .193396507 .517715167 37.5250284
54.8613292 67.4272979 81.9289673 89.3322643
.172143124 -7.5822227 -20.054125 -1.2145236
-.26001477 -1.3054930 18.6618955 5.08614490
-.03086925
5.1 11427434.54 .071010285 .193286611 .518047581 37.5477852
54.8546903 67.4331939 81.9230387 89.3228368
.172125459 -7.5821268 -20.074979 -1.2145751
-.26051217 -1.3034671 18.6856913 5.08574214
-.03089239
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11427434.54 .071010285 .193286611 .518047581 37.5477852
54.8546903 67.4331939 81.9230387 89.3228368
.172125459 -7.5821268 -20.074979 -1.2145751
-.26051217 -1.3034671 18.6856913 5.08574214
-.03089239
6.1 11427434.50 .070956150 .193262806 .518092965 37.5517061
54.8535337 67.4348493 81.9215605 89.3213970
.172120986 -7.5821062 -20.078998 -1.2145706
-.26059931 -1.3031000 18.6900377 5.08574407
-.03093194
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72420903.4970 4260053.14688
Residual 17618 11427434.5030 648.62269
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36132
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .070956150 .030156679 .011846084 .130066216
DP23 .193262806 .026099463 .142105284 .244420327
DP45 .518092965 .040339418 .439023727 .597162202
M1 37.551706145 .996648425 35.598176919 39.505235370
M2 54.853533703 .635065994 53.608741708 56.098325697
M3 67.434849336 .703499326 66.055921260 68.813777412
M4 81.921560502 .790376797 80.372344014 83.470776991
M5 89.321396978 .766153752 87.819660048 90.823133909
BAGE .172120986 .012418712 .147779084 .196462887
BMALE -7.582106233 .385674029 -8.338065374 -6.826147092
BCOM -20.07899787 1.312376299 -22.65138487 -17.50661086
BEDUC -1.214570567 .074793836 -1.361173863 -1.067967271
BGNP -.260599311 .033209292 -.325692800 -.195505823
BCATH -1.303100022 .527756018 -2.337553876 -.268646168
BUSA 18.690037717 1.556506360 15.639131712 21.740943723
BNONCR 5.085744066 1.338626055 2.461904950 7.709583182
DSEPRT -.030931944 .023547036 -.077086457 .015222570
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7501 -.7000 -.3727 -.0704 .1109 .2322
DP23 -.7501 1.0000 .5246 .0368 .0641 -.0930 -.0166
DP45 -.7000 .5246 1.0000 .1948 -.0231 -.2059 -.2653
M1 -.3727 .0368 .1948 1.0000 .2126 .2402 .0153
M2 -.0704 .0641 -.0231 .2126 1.0000 .2926 .2394
M3 .1109 -.0930 -.2059 .2402 .2926 1.0000 .3873
M4 .2322 -.0166 -.2653 .0153 .2394 .3873 1.0000
M5 .4549 -.1377 -.3779 -.2573 .0708 .2231 .4456
BAGE -.0273 .0540 .0506 .0423 .0079 -.0503 -.0638
BMALE .0088 -.0117 -.0013 -.1831 -.2976 -.2613 -.2292
BCOM .4986 -.2567 -.2862 -.6585 -.4171 -.3408 -.0707
BEDUC .0568 -.0016 -.0212 -.0378 -.0509 .0085 -.0019
BGNP .5338 -.2695 -.2681 -.6199 -.4139 -.3683 -.1047
BCATH -.3125 .2507 .2710 .0719 -.1887 -.3566 -.5305
BUSA -.5346 .2214 .2346 .5241 .2909 .1882 -.2262
BNONCR .0000 .0263 .0007 -.0246 -.0846 -.0918 -.0964
DSEPRT -.3026 .0922 .1257 -.0760 -.0827 -.1010 -.0692
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4549 -.0273 .0088 .4986 .0568 .5338 -.3125
DP23 -.1377 .0540 -.0117 -.2567 -.0016 -.2695 .2507
DP45 -.3779 .0506 -.0013 -.2862 -.0212 -.2681 .2710
M1 -.2573 .0423 -.1831 -.6585 -.0378 -.6199 .0719
M2 .0708 .0079 -.2976 -.4171 -.0509 -.4139 -.1887
M3 .2231 -.0503 -.2613 -.3408 .0085 -.3683 -.3566
M4 .4456 -.0638 -.2292 -.0707 -.0019 -.1047 -.5305
M5 1.0000 -.0994 -.2225 .3465 .0236 .3729 -.6062
BAGE -.0994 1.0000 -.0119 .0098 .2723 -.0229 .1141
BMALE -.2225 -.0119 1.0000 .0087 -.0620 .0104 -.0098
BCOM .3465 .0098 .0087 1.0000 .0639 .9095 -.1565
BEDUC .0236 .2723 -.0620 .0639 1.0000 .0301 .0388
BGNP .3729 -.0229 .0104 .9095 .0301 1.0000 -.0431
BCATH -.6062 .1141 -.0098 -.1565 .0388 -.0431 1.0000
BUSA -.4415 .0021 .0122 -.7229 -.1166 -.8048 .1617
BNONCR -.1152 .0444 -.0048 -.0255 -.0168 .0036 .1759
DSEPRT -.0976 .0617 -.0072 .2166 -.0884 .0227 .0201
BUSA BNONCR DSEPRT
P -.5346 .0000 -.3026
DP23 .2214 .0263 .0922
DP45 .2346 .0007 .1257
M1 .5241 -.0246 -.0760
M2 .2909 -.0846 -.0827
M3 .1882 -.0918 -.1010
M4 -.2262 -.0964 -.0692
M5 -.4415 -.1152 -.0976
BAGE .0021 .0444 .0617
BMALE .0122 -.0048 -.0072
BCOM -.7229 -.0255 .2166
BEDUC -.1166 -.0168 -.0884
BGNP -.8048 .0036 .0227
BCATH .1617 .1759 .0201
BUSA 1.0000 -.0107 .0450
BNONCR -.0107 1.0000 -.0360
DSEPRT .0450 -.0360 1.0000
Preceding task required 255.24 seconds elapsed.
->
-> SUBTITLE Table 4: Model C + separate weight for GNP .
-> MODEL PROGRAM P=0.5 DP23=0 DP45=0
-> M1= 30 M2=50 m3=80 m4=90 m5=95
-> bage=.1 bmale=-.1 bcom=-.1 beduc=-.1 bgnp=0 bcath=0
-> BUSA=0 BNONCR=0
-> DSeprt =0.
-> vector m = m1 to m5 .
-> COMPUTE w = P +DP23*ROW23+ DP45*ROW45 + DSeprt* GNP .
-> COMPUTE PRED= w * M( RELIG4CC ) +
-> (1-w ) * M( MFCHATT4 ) +
-> bage*Age + bmale*male + bcom*CommstCC +beduc*EducYr +
-> BGNP*GNP + BCATH*MFCATH + BUSA*USA + BNONCR*MFNONCR .
-> NLR GodPsnl .
All the derivatives will be calculated numerically.
There are 17635 cases. There is enough memory for them all.
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
1 13760859.38 .500000000 .000000000 .000000000 30.0000000
50.0000000 80.0000000 90.0000000 95.0000000
.100000000 -.10000000 -.10000000 -.10000000
.000000000 .000000000 .000000000 .000000000
.000000000
1.1 11470205.80 .184496262 .162410731 .386684748 34.4475206
54.7682334 64.6988411 82.2765016 91.1801729
.165931751 -7.5868060 -17.079794 -1.2295486
-.14848733 -1.2325495 13.7467827 5.17875583
.001433866
2 11470205.80 .184496262 .162410731 .386684748 34.4475206
54.7682334 64.6988411 82.2765016 91.1801729
.165931751 -7.5868060 -17.079794 -1.2295486
-.14848733 -1.2325495 13.7467827 5.17875583
.001433866
2.1 11421247.98 .064436749 .217488374 .510466352 36.9685772
55.1633034 67.4485323 82.6451403 89.9127160
.171374418 -7.5813004 -19.902461 -1.2001227
-.24946960 -1.4946499 17.2317282 5.10288082
.001969011
3 11421247.98 .064436749 .217488374 .510466352 36.9685772
55.1633034 67.4485323 82.6451403 89.9127160
.171374418 -7.5813004 -19.902461 -1.2001227
-.24946960 -1.4946499 17.2317282 5.10288082
.001969011
3.1 11420580.96 .051815752 .217184572 .521295141 37.3915586
54.8961190 67.4987967 82.4624805 89.7964941
.170603561 -7.5785233 -20.209618 -1.2023633
-.25467729 -1.4417533 17.5817387 5.09371563
.001992189
4 11420580.96 .051815752 .217184572 .521295141 37.3915586
54.8961190 67.4987967 82.4624805 89.7964941
.170603561 -7.5785233 -20.209618 -1.2023633
-.25467729 -1.4417533 17.5817387 5.09371563
.001992189
4.1 11420563.56 .050038014 .216926958 .522840883 37.4734037
54.8632407 67.5379258 82.4249320 89.7607063
.170511347 -7.5780352 -20.291285 -1.2024711
-.25658027 -1.4336191 17.6818279 5.09071161
.001997970
5 11420563.56 .050038014 .216926958 .522840883 37.4734037
54.8632407 67.5379258 82.4249320 89.7607063
.170511347 -7.5780352 -20.291285 -1.2024711
-.25658027 -1.4336191 17.6818279 5.09071161
.001997970
5.1 11420562.96 .049721214 .216812819 .523104769 37.4904276
54.8584710 67.5440293 82.4177777 89.7524605
.170498152 -7.5779739 -20.307726 -1.2025289
-.25698917 -1.4318410 17.7036059 5.09013915
.001996787
Iteration Residual SS P DP23 DP45 M1
M2 M3 M4 M5
BAGE BMALE BCOM BEDUC
BGNP BCATH BUSA BNONCR
DSEPRT
6 11420562.96 .049721214 .216812819 .523104769 37.4904276
54.8584710 67.5440293 82.4177777 89.7524605
.170498152 -7.5779739 -20.307726 -1.2025289
-.25698917 -1.4318410 17.7036059 5.09013915
.001996787
6.1 11420562.94 .049669701 .216791896 .523145249 37.4933045
54.8575295 67.5454562 82.4162029 89.7512070
.170495537 -7.5779617 -20.310499 -1.2025341
-.25705670 -1.4315397 17.7074217 5.09004531
.001996748
Run stopped after 12 model evaluations and 6 derivative evaluations.
Iterations have been stopped because the relative reduction between successive
residual sums of squares is at most SSCON = 1.000E-08
Nonlinear Regression Summary Statistics Dependent Variable GODPSNL
Source DF Sum of Squares Mean Square
Regression 17 72427775.0596 4260457.35645
Residual 17618 11420562.9404 648.23266
Uncorrected Total 17635 83848338.0000
(Corrected Total) 17634 17892207.2291
R squared = 1 - Residual SS / Corrected SS = .36170
Asymptotic 95 %
Asymptotic Confidence Interval
Parameter Estimate Std. Error Lower Upper
P .049669701 .028669465 -.006525279 .105864681
DP23 .216791896 .026338183 .165166459 .268417333
DP45 .523145249 .039585359 .445554041 .600736457
M1 37.493304536 .999270198 35.534636375 39.451972697
M2 54.857529469 .633210396 53.616374629 56.098684308
M3 67.545456207 .705358858 66.162883267 68.928029148
M4 82.416202932 .794603938 80.858700830 83.973705034
M5 89.751207015 .782779975 88.216881047 91.285532982
BAGE .170495537 .012413716 .146163430 .194827645
BMALE -7.577961664 .385553460 -8.333684479 -6.822238849
BCOM -20.31049888 1.297461187 -22.85365079 -17.76734697
BEDUC -1.202534064 .074719597 -1.348991844 -1.056076285
BGNP -.257056700 .033257747 -.322245166 -.191868235
BCATH -1.431539718 .528818231 -2.468075616 -.395003819
BUSA 17.707421689 1.586811659 14.597114309 20.817729070
BNONCR 5.090045309 1.337517975 2.468378141 7.711712478
DSEPRT .001996748 .000558640 .000901759 .003091738
Asymptotic Correlation Matrix of the Parameter Estimates
P DP23 DP45 M1 M2 M3 M4
P 1.0000 -.7652 -.6968 -.4137 -.1076 .0649 .2113
DP23 -.7652 1.0000 .5112 .0502 .0854 -.0576 .0079
DP45 -.6968 .5112 1.0000 .2042 -.0119 -.1921 -.2639
M1 -.4137 .0502 .2042 1.0000 .2015 .2414 .0117
M2 -.1076 .0854 -.0119 .2015 1.0000 .2896 .2338
M3 .0649 -.0576 -.1921 .2414 .2896 1.0000 .3877
M4 .2113 .0079 -.2639 .0117 .2338 .3877 1.0000
M5 .4250 -.0948 -.3625 -.2598 .0610 .2231 .4536
BAGE -.0042 .0357 .0435 .0487 .0092 -.0493 -.0661
BMALE .0065 -.0097 -.0004 -.1832 -.2987 -.2606 -.2276
BCOM .6127 -.3090 -.3188 -.6547 -.4093 -.3466 -.0687
BEDUC .0242 .0218 -.0109 -.0430 -.0563 .0097 .0020
BGNP .5655 -.2680 -.2732 -.6168 -.4149 -.3698 -.0910
BCATH -.3154 .2370 .2707 .0724 -.1855 -.3622 -.5338
BUSA -.5221 .1813 .2290 .5149 .2871 .1801 -.2570
BNONCR -.0127 .0324 .0049 -.0274 -.0862 -.0942 -.0967
DSEPRT -.1169 .2119 .0080 .0403 .0547 .1125 .1082
M5 BAGE BMALE BCOM BEDUC BGNP BCATH
P .4250 -.0042 .0065 .6127 .0242 .5655 -.3154
DP23 -.0948 .0357 -.0097 -.3090 .0218 -.2680 .2370
DP45 -.3625 .0435 -.0004 -.3188 -.0109 -.2732 .2707
M1 -.2598 .0487 -.1832 -.6547 -.0430 -.6168 .0724
M2 .0610 .0092 -.2987 -.4093 -.0563 -.4149 -.1855
M3 .2231 -.0493 -.2606 -.3466 .0097 -.3698 -.3622
M4 .4536 -.0661 -.2276 -.0687 .0020 -.0910 -.5338
M5 1.0000 -.1039 -.2170 .3485 .0302 .3798 -.6042
BAGE -.1039 1.0000 -.0117 .0032 .2732 -.0268 .1165
BMALE -.2170 -.0117 1.0000 .0097 -.0622 .0108 -.0100
BCOM .3485 .0032 .0097 1.0000 .0732 .9158 -.1552
BEDUC .0302 .2732 -.0622 .0732 1.0000 .0336 .0353
BGNP .3798 -.0268 .0108 .9158 .0336 1.0000 -.0461
BCATH -.6042 .1165 -.0100 -.1552 .0353 -.0461 1.0000
BUSA -.4575 .0099 .0112 -.7091 -.1234 -.7967 .1710
BNONCR -.1139 .0459 -.0050 -.0198 -.0190 .0049 .1756
DSEPRT .1553 -.0552 .0051 -.1625 .0771 -.0056 -.0416
BUSA BNONCR DSEPRT
P -.5221 -.0127 -.1169
DP23 .1813 .0324 .2119
DP45 .2290 .0049 .0080
M1 .5149 -.0274 .0403
M2 .2871 -.0862 .0547
M3 .1801 -.0942 .1125
M4 -.2570 -.0967 .1082
M5 -.4575 -.1139 .1553
BAGE .0099 .0459 -.0552
BMALE .0112 -.0050 .0051
BCOM -.7091 -.0198 -.1625
BEDUC -.1234 -.0190 .0771
BGNP -.7967 .0049 -.0056
BCATH .1710 .1756 -.0416
BUSA 1.0000 -.0113 -.1384
BNONCR -.0113 1.0000 .0165
DSEPRT -.1384 .0165 1.0000
Preceding task required 258.04 seconds elapsed.
->
-> * ---------- end of text NLR tables.