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. svy: tab syria1
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
-----------------------
Favor or |
oppose US |
military |
airstrike |
s in |
Syria | proportions
----------+------------
Favor | .1844
Oppose | .6048
Unsure | .2107
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab syria1 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
--------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | PID 3pt Recoded
Syria | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Favor | .2674 .1291 .1399 .1844
Oppose | .51 .6407 .7079 .6048
Unsure | .2226 .2302 .1521 .2107
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 38.0467
Design-based F(3.96, 3953.56)= 6.1146 P = 0.0001
. svy: tab syria1 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
----------------------------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Ideology 5 pt recoded
Syria | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Favor | .1975 .2994 .1991 .1149 .0568 .1844
Oppose | .5348 .5057 .5363 .7796 .7539 .6048
Unsure | .2677 .1949 .2646 .1055 .1894 .2107
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 68.0966
Design-based F(7.49, 7486.70)= 6.0467 P = 0.0000
. svy: tab syria1 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
----------------------------------------------------
Favor or |
oppose US |
2
military |
airstrike |
s in | Age Categories Recode
Syria | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Favor | .1612 .1594 .165 .221 .1992 .1844
Oppose | .5654 .5888 .5845 .6138 .6693 .6048
Unsure | .2734 .2519 .2505 .1652 .1314 .2107
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 20.1891
Design-based F(6.42, 6412.70)= 1.6829 P = 0.1153
. svy: tab syria1 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
----------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Gender Recoded
Syria | Male Female Total
----------+-----------------------
Favor | .218 .1526 .1844
Oppose | .6205 .59 .6048
Unsure | .1615 .2574 .2107
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 17.0846
Design-based F(1.97, 1971.03)= 5.4311 P = 0.0046
. svy: tab syria1 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
------------------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Education Recoded
Syria | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Favor | .1943 .1663 .1828 .2153 .1844
Oppose | .6095 .6348 .5235 .6277 .6048
Unsure | .1962 .1988 .2937 .1571 .2107
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 10.7951
Design-based F(5.51, 5505.63)= 1.4819 P = 0.1858
. svy: tab syria1 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 873
Number of PSUs = 873 Population size = 856.57759
Design df = 872
---------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Family Income Recoded
Syria | <30K <50K <100K >100K Total
----------+----------------------------------
Favor | .2206 .193 .1698 .1512 .1893
3
Oppose | .5364 .5428 .7112 .6233 .6029
Unsure | .243 .2642 .119 .2255 .2078
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 26.8281
Design-based F(5.82, 5075.36)= 3.2729 P = 0.0036
. svy: tab syria1 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
------------------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Race Recoded
Syria | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Favor | .1822 .2137 .1834 .1696 .1844
Oppose | .6395 .4132 .5957 .5823 .6048
Unsure | .1784 .3732 .2209 .2481 .2107
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 24.9805
Design-based F(5.79, 5788.99)= 2.2282 P = 0.0397
. svy: tab syria1 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 954
Number of PSUs = 954 Population size = 941.0713
Design df = 953
----------------------------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Religion recoded
Syria | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Favor | .1418 .2299 .1928 .1348 .1764 .1774
Oppose | .6492 .5561 .6412 .5606 .5903 .6062
Unsure | .209 .214 .166 .3046 .2334 .2165
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 11.9771
Design-based F(7.80, 7429.72)= 1.1645 P = 0.3172
. svy: tab syria1 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
--------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Pay attention to the news recoded
Syria | Now&then Some of Most of Total
----------+---------------------------------------
Favor | .1227 .1887 .2105 .1844
Oppose | .4425 .6085 .678 .6048
Unsure | .4348 .2028 .1115 .2107
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
4
Pearson:
Uncorrected chi2(4) = 96.3598
Design-based F(3.92, 3911.38)= 16.7796 P = 0.0000
. svy: tab syria1 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 1000
Number of PSUs = 1000 Population size = 1000
Design df = 999
--------------------------------------------------
Favor or |
oppose US |
military |
airstrike |
s in | Political Awareness - 3 categories
Syria | Low Know Mid Know High Kno Total
----------+---------------------------------------
Favor | .1878 .1507 .224 .1844
Oppose | .5137 .6913 .6459 .6048
Unsure | .2986 .1579 .1301 .2107
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 42.2114
Design-based F(3.95, 3942.81)= 7.5379 P = 0.0000
.
. svy: tab syria2
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
-----------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against |
it | proportions
----------+------------
True | .5635
Not true | .0636
Don't kn | .3729
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab syria2 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
--------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | PID 3pt Recoded
it | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
True | .6755 .4526 .5713 .5635
Not true | .0609 .071 .0546 .0636
Don't kn | .2636 .4764 .3741 .3729
|
Total | 1 1 1 1
--------------------------------------------------
5
Key: column proportions
Pearson:
Uncorrected chi2(4) = 41.8125
Design-based F(3.77, 3757.69)= 7.0372 P = 0.0000
. svy: tab syria2 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
----------------------------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Ideology 5 pt recoded
it | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
True | .7064 .6529 .5291 .5499 .4344 .5635
Not true | .0244 .065 .0566 .0722 .1095 .0636
Don't kn | .2692 .2821 .4143 .3779 .456 .3729
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 26.6238
Design-based F(6.91, 6892.67)= 2.2124 P = 0.0310
. svy: tab syria2 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
----------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Age Categories Recode
it | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
True | .4892 .5645 .5173 .6252 .5958 .5635
Not true | .0983 .0474 .0962 .063 .0123 .0636
Don't kn | .4126 .3881 .3865 .3118 .3919 .3729
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 23.5096
Design-based F(6.32, 6302.04)= 1.9636 P = 0.0634
. svy: tab syria2 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
----------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
6
against | Gender Recoded
it | Male Female Total
----------+-----------------------
True | .5668 .5604 .5635
Not true | .0707 .0569 .0636
Don't kn | .3626 .3827 .3729
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 1.0329
Design-based F(2.00, 1993.40)= 0.3252 P = 0.7223
. svy: tab syria2 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
------------------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Education Recoded
it | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
True | .5825 .5427 .5636 .5492 .5635
Not true | .0636 .062 .0799 .034 .0636
Don't kn | .3539 .3953 .3565 .4168 .3729
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 3.6316
Design-based F(5.43, 5409.51)= 0.4849 P = 0.8024
. svy: tab syria2 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 871
Number of PSUs = 871 Population size = 854.86654
Design df = 870
---------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Family Income Recoded
it | <30K <50K <100K >100K Total
----------+----------------------------------
True | .5477 .5955 .5775 .5971 .575
Not true | .0528 .0737 .0707 .0641 .0649
Don't kn | .3995 .3309 .3517 .3388 .36
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 3.5194
Design-based F(5.71, 4970.45)= 0.3852 P = 0.8813
. svy: tab syria2 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
------------------------------------------------------------
7
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Race Recoded
it | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
True | .5822 .5831 .5921 .355 .5635
Not true | .0588 .0625 .0632 .1017 .0636
Don't kn | .359 .3543 .3447 .5434 .3729
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 17.5239
Design-based F(5.74, 5721.32)= 1.5624 P = 0.1572
. svy: tab syria2 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 952
Number of PSUs = 952 Population size = 939.36025
Design df = 951
----------------------------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Religion recoded
it | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
True | .5265 .6202 .5702 .5826 .5364 .5571
Not true | .1013 .0155 .0437 .0541 .0694 .0617
Don't kn | .3723 .3643 .3861 .3633 .3941 .3812
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 13.4476
Design-based F(7.65, 7279.31)= 1.3040 P = 0.2388
. svy: tab syria2 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
--------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Pay attention to the news recoded
it | Now&then Some of Most of Total
----------+---------------------------------------
True | .3282 .6539 .6174 .5635
Not true | .0397 .0475 .0845 .0636
Don't kn | .6321 .2986 .2981 .3729
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 86.9545
Design-based F(3.96, 3948.35)= 15.1127 P = 0.0000
8
. svy: tab syria2 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 998.28895
Design df = 997
--------------------------------------------------
Statement |
true or |
untrue: |
The |
Syrian |
governmen |
t used |
chemical |
weapons |
against | Political Awareness - 3 categories
it | Low Know Mid Know High Kno Total
----------+---------------------------------------
True | .5285 .5984 .5766 .5635
Not true | .0523 .0463 .1064 .0636
Don't kn | .4192 .3553 .317 .3729
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 15.9306
Design-based F(3.94, 3932.83)= 2.6314 P = 0.0333
.
. svy: tab Q1
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
-----------------------
View - |
Julian |
Assange | proportions
----------+------------
Favorabl | .1245
Unfavora | .325
Heard of | .2241
Never he | .3264
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q1 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
--------------------------------------------------
View - |
Julian | PID 3pt Recoded
Assange | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Favorabl | .1084 .1628 .0807 .1245
Unfavora | .3132 .2968 .4002 .325
Heard of | .2385 .2424 .1629 .2241
Never he | .3398 .298 .3562 .3264
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 19.8308
Design-based F(5.67, 5644.41)= 2.0662 P = 0.0577
. svy: tab Q1 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
9
----------------------------------------------------------------------
View - |
Julian | Ideology 5 pt recoded
Assange | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Favorabl | .3229 .1707 .0951 .0696 .0865 .1245
Unfavora | .2784 .3102 .2584 .4609 .378 .325
Heard of | .2488 .2617 .2506 .1629 .1553 .2241
Never he | .1499 .2574 .396 .3066 .3802 .3264
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 89.7093
Design-based F(11.23, 11172.87)= 4.9463 P = 0.0000
. svy: tab Q1 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
----------------------------------------------------
View - |
Julian | Age Categories Recode
Assange | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Favorabl | .1549 .1965 .126 .0961 .0617 .1245
Unfavora | .2508 .2155 .3151 .3702 .4547 .325
Heard of | .155 .2301 .2474 .2178 .2792 .2241
Never he | .4393 .3579 .3115 .3159 .2044 .3264
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 61.3334
Design-based F(9.37, 9326.18)= 3.2527 P = 0.0005
. svy: tab Q1 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
----------------------------------
View - |
Julian | Gender Recoded
Assange | Male Female Total
----------+-----------------------
Favorabl | .1694 .0819 .1245
Unfavora | .3859 .2671 .325
Heard of | .1997 .2472 .2241
Never he | .2449 .4039 .3264
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 47.8827
Design-based F(2.92, 2910.36)= 10.5023 P = 0.0000
. svy: tab Q1 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
------------------------------------------------------------
View - |
Julian | Education Recoded
Assange | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Favorabl | .0879 .1616 .1206 .173 .1245
Unfavora | .2806 .3154 .3943 .4651 .325
Heard of | .2007 .2401 .2424 .2425 .2241
Never he | .4308 .2829 .2426 .1194 .3264
|
Total | 1 1 1 1 1
------------------------------------------------------------
10
Key: column proportions
Pearson:
Uncorrected chi2(9) = 50.1198
Design-based F(7.82, 7784.25)= 4.1374 P = 0.0001
. svy: tab Q1 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 870
Number of PSUs = 870 Population size = 853.37567
Design df = 869
---------------------------------------------
View - |
Julian | Family Income Recoded
Assange | <30K <50K <100K >100K Total
----------+----------------------------------
Favorabl | .1241 .1106 .1182 .1489 .1221
Unfavora | .2244 .2229 .4103 .5347 .3205
Heard of | .1877 .2678 .2709 .1595 .2296
Never he | .4638 .3987 .2005 .1569 .3279
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 87.5940
Design-based F(8.54, 7423.46)= 6.6559 P = 0.0000
. svy: tab Q1 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
------------------------------------------------------------
View - |
Julian | Race Recoded
Assange | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Favorabl | .1277 .0881 .1062 .1723 .1245
Unfavora | .3729 .2028 .2084 .3003 .325
Heard of | .2455 .1627 .1739 .2182 .2241
Never he | .2539 .5464 .5115 .3092 .3264
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 64.5870
Design-based F(7.97, 7925.32)= 3.5633 P = 0.0004
. svy: tab Q1 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 950
Number of PSUs = 950 Population size = 936.98195
Design df = 949
----------------------------------------------------------------------
View - |
Julian | Religion recoded
Assange | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Favorabl | .1002 .0366 .1075 .1917 .1318 .1106
Unfavora | .2682 .4667 .3763 .3697 .2747 .3298
Heard of | .172 .2197 .234 .2754 .2399 .224
Never he | .4597 .2769 .2821 .1631 .3536 .3357
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 50.3122
Design-based F(11.14, 10571.38)= 3.1248 P = 0.0003
. svy: tab Q1 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
11
--------------------------------------------------
View - |
Julian | Pay attention to the news recoded
Assange | Now&then Some of Most of Total
----------+---------------------------------------
Favorabl | .0511 .1234 .1594 .1245
Unfavora | .0632 .258 .4878 .325
Heard of | .1873 .27 .2133 .2241
Never he | .6983 .3486 .1395 .3264
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 255.6786
Design-based F(5.28, 5254.24)= 22.7852 P = 0.0000
. svy: tab Q1 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
--------------------------------------------------
View - |
Julian | Political Awareness - 3 categories
Assange | Low Know Mid Know High Kno Total
----------+---------------------------------------
Favorabl | .094 .1207 .1819 .1245
Unfavora | .1102 .3871 .6094 .325
Heard of | .2404 .2325 .1848 .2241
Never he | .5554 .2597 .0239 .3264
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 277.8349
Design-based F(5.50, 5476.53)= 31.8083 P = 0.0000
.
. svy: tab Q2
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
-----------------------
View - |
Bradley |
Manning | proportions
----------+------------
Favorabl | .1286
Unfavora | .337
Heard of | .2298
Never he | .3046
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q2 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
--------------------------------------------------
View - |
Bradley | PID 3pt Recoded
Manning | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Favorabl | .1429 .137 .0864 .1286
Unfavora | .2895 .3301 .4366 .337
Heard of | .2413 .2516 .1675 .2298
Never he | .3263 .2814 .3094 .3046
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
12
Pearson:
Uncorrected chi2(6) = 18.5003
Design-based F(5.78, 5751.13)= 1.8997 P = 0.0799
. svy: tab Q2 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
----------------------------------------------------------------------
View - |
Bradley | Ideology 5 pt recoded
Manning | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Favorabl | .347 .2049 .0985 .0518 .0661 .1286
Unfavora | .2846 .2688 .2678 .5046 .4336 .337
Heard of | .2197 .2657 .2509 .1909 .1732 .2298
Never he | .1487 .2605 .3828 .2527 .3271 .3046
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 113.2028
Design-based F(11.32, 11265.64)= 6.4316 P = 0.0000
. svy: tab Q2 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
----------------------------------------------------
View - |
Bradley | Age Categories Recode
Manning | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Favorabl | .1441 .2115 .1347 .1063 .0577 .1286
Unfavora | .2336 .2168 .3323 .3754 .5133 .337
Heard of | .255 .2031 .2454 .2245 .2221 .2298
Never he | .3673 .3685 .2877 .2938 .2069 .3046
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 62.2809
Design-based F(9.29, 9240.68)= 3.3481 P = 0.0004
. svy: tab Q2 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
----------------------------------
View - |
Bradley | Gender Recoded
Manning | Male Female Total
----------+-----------------------
Favorabl | .1744 .085 .1286
Unfavora | .3876 .2888 .337
Heard of | .2051 .2534 .2298
Never he | .2329 .3727 .3046
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 41.1674
Design-based F(2.94, 2928.39)= 8.9476 P = 0.0000
. svy: tab Q2 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
------------------------------------------------------------
13
View - |
Bradley | Education Recoded
Manning | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Favorabl | .0689 .1643 .1604 .2337 .1286
Unfavora | .2947 .3343 .3962 .4564 .337
Heard of | .2373 .2383 .2067 .2011 .2298
Never he | .3991 .2631 .2367 .1088 .3046
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 56.4737
Design-based F(7.86, 7816.17)= 4.7029 P = 0.0000
. svy: tab Q2 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 870
Number of PSUs = 870 Population size = 853.37567
Design df = 869
---------------------------------------------
View - |
Bradley | Family Income Recoded
Manning | <30K <50K <100K >100K Total
----------+----------------------------------
Favorabl | .1372 .1119 .1031 .2017 .1286
Unfavora | .2377 .2484 .4224 .4727 .3269
Heard of | .2201 .241 .2811 .2003 .2415
Never he | .405 .3987 .1934 .1253 .303
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 73.1411
Design-based F(8.67, 7530.36)= 5.6406 P = 0.0000
. svy: tab Q2 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
------------------------------------------------------------
View - |
Bradley | Race Recoded
Manning | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Favorabl | .1329 .0906 .1072 .1751 .1286
Unfavora | .3876 .2276 .2238 .2723 .337
Heard of | .2354 .186 .2108 .2699 .2298
Never he | .2441 .4958 .4582 .2826 .3046
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 51.8989
Design-based F(8.21, 8170.71)= 2.7852 P = 0.0041
. svy: tab Q2 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 950
Number of PSUs = 950 Population size = 936.98195
Design df = 949
----------------------------------------------------------------------
View - |
Bradley | Religion recoded
Manning | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Favorabl | .0685 .0652 .086 .2224 .1579 .1151
Unfavora | .3539 .4319 .4102 .3266 .2598 .3414
Heard of | .182 .2694 .1912 .2656 .2609 .2312
Never he | .3956 .2335 .3126 .1854 .3214 .3123
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
14
Pearson:
Uncorrected chi2(12) = 50.5593
Design-based F(11.11, 10547.86)= 3.0583 P = 0.0004
. svy: tab Q2 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
--------------------------------------------------
View - |
Bradley | Pay attention to the news recoded
Manning | Now&then Some of Most of Total
----------+---------------------------------------
Favorabl | .0627 .1116 .1696 .1286
Unfavora | .0824 .2497 .5088 .337
Heard of | .2178 .285 .2019 .2298
Never he | .637 .3538 .1197 .3046
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 249.1394
Design-based F(5.57, 5544.36)= 23.4125 P = 0.0000
. svy: tab Q2 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 995.91065
Design df = 995
--------------------------------------------------
View - |
Bradley | Political Awareness - 3 categories
Manning | Low Know Mid Know High Kno Total
----------+---------------------------------------
Favorabl | .0947 .1185 .1999 .1286
Unfavora | .1098 .4376 .591 .337
Heard of | .2667 .2229 .176 .2298
Never he | .5288 .221 .033 .3046
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 277.3683
Design-based F(5.41, 5385.38)= 31.5447 P = 0.0000
.
. svy: tab Q3
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
-----------------------
View - |
Edward |
Snowden | proportions
----------+------------
Favorabl | .2363
Unfavora | .3856
Heard of | .2355
Never he | .1427
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q3 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
--------------------------------------------------
View - |
Edward | PID 3pt Recoded
15
Snowden | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Favorabl | .1698 .286 .2625 .2363
Unfavora | .4456 .3094 .4219 .3856
Heard of | .2226 .2764 .1808 .2355
Never he | .1621 .1282 .1349 .1427
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 29.8006
Design-based F(5.80, 5768.58)= 3.1539 P = 0.0048
. svy: tab Q3 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
----------------------------------------------------------------------
View - |
Edward | Ideology 5 pt recoded
Snowden | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Favorabl | .317 .2517 .2098 .2304 .2508 .2363
Unfavora | .3973 .424 .3294 .4679 .3588 .3856
Heard of | .2124 .235 .2662 .1819 .2479 .2355
Never he | .0733 .0893 .1946 .1197 .1425 .1427
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 31.9917
Design-based F(11.16, 11094.96)= 1.6834 P = 0.0693
. svy: tab Q3 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
----------------------------------------------------
View - |
Edward | Age Categories Recode
Snowden | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Favorabl | .2998 .279 .2144 .2094 .1866 .2363
Unfavora | .3014 .2178 .3587 .4696 .5427 .3856
Heard of | .1919 .2922 .2989 .2177 .1926 .2355
Never he | .207 .2111 .128 .1033 .0782 .1427
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 70.0534
Design-based F(9.44, 9378.69)= 3.7461 P = 0.0001
. svy: tab Q3 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
----------------------------------
View - |
Edward | Gender Recoded
Snowden | Male Female Total
----------+-----------------------
Favorabl | .3159 .1606 .2363
Unfavora | .3965 .3751 .3856
Heard of | .1863 .2823 .2355
Never he | .1013 .182 .1427
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
16
Uncorrected chi2(3) = 46.7401
Design-based F(2.93, 2908.14)= 9.7828 P = 0.0000
. svy: tab Q3 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
------------------------------------------------------------
View - |
Edward | Education Recoded
Snowden | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Favorabl | .1986 .2539 .2675 .3008 .2363
Unfavora | .3636 .3689 .4275 .4928 .3856
Heard of | .2315 .2477 .2508 .1672 .2355
Never he | .2064 .1295 .0541 .0393 .1427
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 37.4734
Design-based F(7.79, 7740.41)= 3.4055 P = 0.0007
. svy: tab Q3 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 870
Number of PSUs = 870 Population size = 853.37567
Design df = 869
---------------------------------------------
View - |
Edward | Family Income Recoded
Snowden | <30K <50K <100K >100K Total
----------+----------------------------------
Favorabl | .1894 .2419 .2509 .2263 .226
Unfavora | .3562 .3096 .4149 .5351 .3853
Heard of | .2307 .2649 .247 .2094 .2415
Never he | .2236 .1836 .0872 .0292 .1472
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 44.4743
Design-based F(8.24, 7160.88)= 3.4605 P = 0.0005
. svy: tab Q3 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
------------------------------------------------------------
View - |
Edward | Race Recoded
Snowden | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Favorabl | .2441 .1561 .2297 .2815 .2363
Unfavora | .4201 .4009 .2693 .302 .3856
Heard of | .2349 .2402 .2255 .2507 .2355
Never he | .1009 .2029 .2754 .1658 .1427
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 41.6224
Design-based F(8.13, 8081.76)= 2.1101 P = 0.0306
. svy: tab Q3 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 949
Number of PSUs = 949 Population size = 936.31996
Design df = 948
----------------------------------------------------------------------
View - |
17
Edward | Religion recoded
Snowden | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Favorabl | .2263 .1355 .1959 .2882 .2768 .2293
Unfavora | .341 .5645 .437 .3781 .3186 .3885
Heard of | .2354 .155 .2339 .2595 .262 .2346
Never he | .1973 .1451 .1332 .0742 .1426 .1475
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 39.7581
Design-based F(11.26, 10672.04)= 2.3716 P = 0.0059
. svy: tab Q3 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
--------------------------------------------------
View - |
Edward | Pay attention to the news recoded
Snowden | Now&then Some of Most of Total
----------+---------------------------------------
Favorabl | .1488 .2228 .2853 .2363
Unfavora | .1477 .3962 .4901 .3856
Heard of | .3132 .2696 .1784 .2355
Never he | .3902 .1115 .0461 .1427
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 202.0013
Design-based F(5.36, 5332.19)= 16.9916 P = 0.0000
. svy: tab Q3 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 995
Number of PSUs = 995 Population size = 995.24866
Design df = 994
--------------------------------------------------
View - |
Edward | Political Awareness - 3 categories
Snowden | Low Know Mid Know High Kno Total
----------+---------------------------------------
Favorabl | .1795 .2331 .3376 .2363
Unfavora | .251 .4545 .5232 .3856
Heard of | .2965 .2295 .1392 .2355
Never he | .2731 .0828 0 .1427
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 162.0699
Design-based F(5.69, 5658.09)= 16.2167 P = 0.0000
.
. svy: tab Q4b
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
-----------------------
Julian |
Assange |
Scale | proportions
----------+------------
hero | .0606
2 | .0594
3 | .1235
4 | .2839
5 | .1217
6 | .1008
villain | .25
|
18
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q4b pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
--------------------------------------------------
Julian |
Assange | PID 3pt Recoded
Scale | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
hero | .0547 .0846 .0259 .0606
2 | .069 .0669 .0284 .0594
3 | .1017 .153 .1069 .1235
4 | .3225 .2617 .257 .2839
5 | .1214 .1023 .1589 .1217
6 | .0936 .0966 .1214 .1008
villain | .237 .2349 .3017 .25
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 28.0685
Design-based F(11.08, 10851.02)= 1.6204 P = 0.0853
. svy: tab Q4b ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
----------------------------------------------------------------------
Julian |
Assange | Ideology 5 pt recoded
Scale | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
hero | .1019 .0531 .079 .0252 .0366 .0606
2 | .1466 .0554 .0576 .0415 .0271 .0594
3 | .0938 .1316 .1471 .1066 .0807 .1235
4 | .2602 .3941 .2534 .2641 .2722 .2839
5 | .0594 .1343 .132 .1207 .1219 .1217
6 | .0931 .0886 .0937 .1273 .1017 .1008
villain | .245 .143 .2374 .3145 .3598 .25
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 62.1388
Design-based F(21.83, 21375.30)= 1.8756 P = 0.0079
. svy: tab Q4b agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
----------------------------------------------------
Julian |
Assange | Age Categories Recode
Scale | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
hero | .0998 .0721 .0576 .0561 .0185 .0606
2 | .0725 .0613 .0564 .0578 .0494 .0594
3 | .2178 .1297 .1407 .0841 .0616 .1235
4 | .3109 .3765 .3039 .2354 .2168 .2839
5 | .0972 .1122 .1183 .1651 .0973 .1217
6 | .0597 .0743 .0694 .1193 .1715 .1008
villain | .142 .1738 .2538 .2821 .385 .25
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 94.7355
Design-based F(18.47, 18078.81)= 2.5783 P = 0.0002
19
. svy: tab Q4b genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
----------------------------------
Julian |
Assange | Gender Recoded
Scale | Male Female Total
----------+-----------------------
hero | .0711 .0504 .0606
2 | .0627 .0563 .0594
3 | .161 .0872 .1235
4 | .2315 .3346 .2839
5 | .1201 .1234 .1217
6 | .0747 .1261 .1008
villain | .2789 .2221 .25
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 31.4681
Design-based F(5.78, 5655.59)= 3.4587 P = 0.0024
. svy: tab Q4b educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
------------------------------------------------------------
Julian |
Assange | Education Recoded
Scale | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
hero | .055 .08 .05 .0302 .0606
2 | .0545 .0724 .0379 .0784 .0594
3 | .1427 .0895 .1289 .1547 .1235
4 | .2906 .2687 .2995 .2779 .2839
5 | .1186 .1334 .0871 .1669 .1217
6 | .0682 .1124 .1423 .1365 .1008
villain | .2704 .2436 .2544 .1555 .25
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 27.1753
Design-based F(15.32, 15001.72)= 1.1860 P = 0.2728
. svy: tab Q4b famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 858
Number of PSUs = 858 Population size = 833.10858
Design df = 857
---------------------------------------------
Julian |
Assange | Family Income Recoded
Scale | <30K <50K <100K >100K Total
----------+----------------------------------
hero | .0923 .0342 .0229 .0481 .0504
2 | .0897 .0654 .0487 .0354 .0637
3 | .1262 .0681 .1576 .0754 .115
4 | .2703 .3678 .287 .2192 .2931
5 | .1213 .1576 .1 .1412 .1262
6 | .073 .1041 .1197 .1303 .1028
villain | .2272 .2029 .2639 .3504 .2487
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 50.7033
Design-based F(16.69, 14304.31)= 2.2188 P = 0.0029
. svy: tab Q4b racer, col
(running tabulate on estimation sample)
20
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
------------------------------------------------------------
Julian |
Assange | Race Recoded
Scale | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
hero | .0408 .0859 .145 .0478 .0606
2 | .0576 .0149 .0585 .1237 .0594
3 | .1238 .066 .1248 .1833 .1235
4 | .2726 .352 .3024 .2656 .2839
5 | .1383 .1076 .0823 .0744 .1217
6 | .1119 .0966 .0601 .0858 .1008
villain | .255 .277 .227 .2194 .25
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 47.4347
Design-based F(15.44, 15115.97)= 1.3344 P = 0.1689
. svy: tab Q4b religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 935
Number of PSUs = 935 Population size = 914.21428
Design df = 934
----------------------------------------------------------------------
Julian |
Assange | Religion recoded
Scale | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
hero | .028 .03 .0584 .0533 .0964 .061
2 | .0312 .0377 .0452 .0468 .0777 .0529
3 | .1146 .0604 .0898 .2165 .1612 .1256
4 | .3508 .2362 .2523 .2422 .2774 .2783
5 | .0889 .1888 .1311 .1196 .1025 .12
6 | .1313 .1137 .0976 .1856 .064 .1016
villain | .2552 .3332 .3257 .136 .2208 .2604
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 71.4746
Design-based F(20.52, 19164.98)= 2.2900 P = 0.0008
. svy: tab Q4b newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
Design df = 979
--------------------------------------------------
Julian |
Assange | Pay attention to the news recoded
Scale | Now&then Some of Most of Total
----------+---------------------------------------
hero | .0705 .0577 .0579 .0606
2 | .037 .0591 .0695 .0594
3 | .1571 .1649 .0842 .1235
4 | .4307 .2616 .2326 .2839
5 | .111 .1061 .1357 .1217
6 | .0557 .1056 .1178 .1008
villain | .1381 .245 .3023 .25
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 59.2356
Design-based F(9.95, 9745.84)= 3.0395 P = 0.0008
. svy: tab Q4b know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 980
Number of PSUs = 980 Population size = 971.98574
21
Design df = 979
--------------------------------------------------
Julian |
Assange | Political Awareness - 3 categories
Scale | Low Know Mid Know High Kno Total
----------+---------------------------------------
hero | .0901 .0425 .0366 .0606
2 | .0439 .0785 .0592 .0594
3 | .1249 .1018 .1506 .1235
4 | .3289 .2889 .2035 .2839
5 | .1204 .0971 .1571 .1217
6 | .0784 .1109 .1239 .1008
villain | .2135 .2804 .2691 .25
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 36.3922
Design-based F(11.20, 10961.34)= 2.1227 P = 0.0152
.
.
. svy: tab Q5b
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
-----------------------
Bradley |
Manning |
Scale | proportions
----------+------------
hero | .062
2 | .0542
3 | .092
4 | .2304
5 | .1142
6 | .1122
villain | .3349
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q5b pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
--------------------------------------------------
Bradley |
Manning | PID 3pt Recoded
Scale | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
hero | .0554 .089 .0238 .062
2 | .0687 .0658 .0069 .0542
3 | .0684 .0963 .1262 .092
4 | .2684 .2053 .2088 .2304
5 | .1365 .0951 .1098 .1142
6 | .0862 .1135 .1564 .1122
villain | .3162 .335 .3683 .3349
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 39.5511
Design-based F(10.83, 10524.71)= 2.2352 P = 0.0110
. svy: tab Q5b ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
----------------------------------------------------------------------
Bradley |
Manning | Ideology 5 pt recoded
22
Scale | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
hero | .1329 .0639 .0777 .0174 .0221 .062
2 | .1397 .0635 .0483 .0334 .0204 .0542
3 | .099 .1183 .0677 .0998 .1162 .092
4 | .1568 .2982 .2498 .186 .1997 .2304
5 | .0905 .1225 .1309 .0827 .1256 .1142
6 | .0475 .1165 .1155 .1364 .1029 .1122
villain | .3335 .2172 .31 .4443 .413 .3349
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 75.3495
Design-based F(20.95, 20364.56)= 2.1517 P = 0.0017
. svy: tab Q5b agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
----------------------------------------------------
Bradley |
Manning | Age Categories Recode
Scale | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
hero | .0975 .0858 .0625 .0473 .0222 .062
2 | .068 .0573 .0631 .0477 .0379 .0542
3 | .1711 .1092 .0847 .0653 .0382 .092
4 | .2903 .2905 .2231 .1986 .1618 .2304
5 | .0573 .161 .1351 .11 .1136 .1142
6 | .1031 .0749 .0794 .157 .1243 .1122
villain | .2125 .2212 .352 .3741 .502 .3349
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 93.9810
Design-based F(18.24, 17729.69)= 2.5157 P = 0.0004
. svy: tab Q5b genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
----------------------------------
Bradley |
Manning | Gender Recoded
Scale | Male Female Total
----------+-----------------------
hero | .0796 .0449 .062
2 | .055 .0534 .0542
3 | .1298 .0553 .092
4 | .1908 .2689 .2304
5 | .1138 .1146 .1142
6 | .1001 .124 .1122
villain | .3309 .3389 .3349
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 27.1526
Design-based F(5.84, 5675.70)= 2.9368 P = 0.0079
. svy: tab Q5b educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
------------------------------------------------------------
Bradley |
Manning | Education Recoded
Scale | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
hero | .0583 .0716 .0517 .0631 .062
23
2 | .0321 .075 .0598 .0723 .0542
3 | .091 .0955 .098 .0683 .092
4 | .274 .1726 .24 .2239 .2304
5 | .123 .111 .1081 .0944 .1142
6 | .0904 .1389 .0925 .1591 .1122
villain | .3314 .3354 .35 .3189 .3349
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 23.0262
Design-based F(15.05, 14628.95)= 0.9548 P = 0.5015
. svy: tab Q5b famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 851
Number of PSUs = 851 Population size = 827.90743
Design df = 850
---------------------------------------------
Bradley |
Manning | Family Income Recoded
Scale | <30K <50K <100K >100K Total
----------+----------------------------------
hero | .0732 .0307 .0306 .0893 .0514
2 | .0947 .0395 .0543 .0164 .0581
3 | .0335 .1096 .1154 .0775 .0838
4 | .2721 .2651 .1952 .1638 .2321
5 | .1239 .1211 .1378 .081 .1219
6 | .103 .1384 .102 .1453 .117
villain | .2997 .2956 .3649 .4267 .3357
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 49.7018
Design-based F(16.37, 13910.29)= 2.0765 P = 0.0065
. svy: tab Q5b racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
------------------------------------------------------------
Bradley |
Manning | Race Recoded
Scale | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
hero | .0462 .0584 .1478 .0456 .062
2 | .0511 .0393 .0451 .1094 .0542
3 | .0941 .0848 .0773 .1078 .092
4 | .2039 .2799 .308 .2504 .2304
5 | .1219 .0931 .1005 .1021 .1142
6 | .1291 .1237 .047 .0779 .1122
villain | .3538 .3209 .2743 .3067 .3349
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 44.2031
Design-based F(13.88, 13489.87)= 1.1927 P = 0.2733
. svy: tab Q5b religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 927
Number of PSUs = 927 Population size = 907.63943
Design df = 926
----------------------------------------------------------------------
Bradley |
Manning | Religion recoded
Scale | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
hero | .0275 .03 .0656 .0616 .0858 .0593
2 | .0274 .0326 .0481 .0703 .0634 .0486
3 | .0539 .0528 .0706 .1266 .1427 .0945
4 | .2619 .1705 .1743 .203 .2701 .2283
24
5 | .1289 .1128 .1088 .1245 .1019 .1123
6 | .1604 .1406 .126 .0764 .0634 .1092
villain | .34 .4607 .4065 .3376 .2726 .3478
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 65.0233
Design-based F(21.30, 19725.92)= 2.0072 P = 0.0039
. svy: tab Q5b newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
--------------------------------------------------
Bradley |
Manning | Pay attention to the news recoded
Scale | Now&then Some of Most of Total
----------+---------------------------------------
hero | .067 .0559 .0633 .062
2 | .0443 .0673 .0509 .0542
3 | .0822 .096 .0939 .092
4 | .4095 .191 .1741 .2304
5 | .1162 .133 .1023 .1142
6 | .0902 .1313 .1107 .1122
villain | .1907 .3256 .4047 .3349
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 63.5354
Design-based F(9.96, 9684.71)= 2.9949 P = 0.0009
. svy: tab Q5b know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 973
Number of PSUs = 973 Population size = 966.56813
Design df = 972
--------------------------------------------------
Bradley |
Manning | Political Awareness - 3 categories
Scale | Low Know Mid Know High Kno Total
----------+---------------------------------------
hero | .0803 .0465 .0529 .062
2 | .0435 .0539 .0722 .0542
3 | .071 .09 .1286 .092
4 | .3079 .2004 .1445 .2304
5 | .0973 .1342 .1152 .1142
6 | .1222 .0913 .124 .1122
villain | .2778 .3838 .3626 .3349
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 42.0284
Design-based F(10.85, 10548.99)= 2.2644 P = 0.0098
.
. svy: tab Q6b
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
-----------------------
Edward |
Snowden |
Scale | proportions
----------+------------
hero | .1177
2 | .0995
3 | .0989
4 | .1894
5 | .0801
6 | .0983
25
villain | .3161
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q6b pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
--------------------------------------------------
Edward |
Snowden | PID 3pt Recoded
Scale | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
hero | .0864 .1428 .1264 .1177
2 | .0664 .1448 .0735 .0995
3 | .1013 .111 .0719 .0989
4 | .1685 .197 .2125 .1894
5 | .0976 .0831 .0431 .0801
6 | .1173 .0713 .115 .0983
villain | .3626 .25 .3577 .3161
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 41.8387
Design-based F(11.19, 10917.15)= 2.2928 P = 0.0081
. svy: tab Q6b ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
----------------------------------------------------------------------
Edward |
Snowden | Ideology 5 pt recoded
Scale | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
hero | .1684 .0784 .1293 .112 .1048 .1177
2 | .1166 .1106 .0874 .1037 .1017 .0995
3 | .0684 .1181 .1109 .0672 .1147 .0989
4 | .1636 .2037 .1802 .2111 .1794 .1894
5 | .0992 .1077 .0802 .0491 .0765 .0801
6 | .0655 .1688 .0848 .103 .046 .0983
villain | .3181 .2127 .3273 .3538 .3767 .3161
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 38.7028
Design-based F(19.64, 19168.39)= 1.0180 P = 0.4356
. svy: tab Q6b agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
----------------------------------------------------
Edward |
Snowden | Age Categories Recode
Scale | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
hero | .1729 .1156 .1257 .1017 .0787 .1177
2 | .1443 .1212 .0981 .0833 .057 .0995
3 | .1126 .1363 .119 .0711 .0697 .0989
4 | .1681 .2507 .2009 .1864 .1455 .1894
5 | .1413 .0939 .0638 .0601 .0472 .0801
6 | .1232 .0787 .0489 .1113 .1184 .0983
villain | .1376 .2037 .3435 .3862 .4836 .3161
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
26
Uncorrected chi2(24) = 97.0072
Design-based F(18.66, 18211.69)= 2.6232 P = 0.0002
. svy: tab Q6b genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
----------------------------------
Edward |
Snowden | Gender Recoded
Scale | Male Female Total
----------+-----------------------
hero | .1499 .0864 .1177
2 | .1118 .0876 .0995
3 | .1275 .071 .0989
4 | .1522 .2257 .1894
5 | .0699 .09 .0801
6 | .0798 .1162 .0983
villain | .309 .3231 .3161
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 29.3021
Design-based F(5.85, 5708.47)= 2.9822 P = 0.0071
. svy: tab Q6b educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
------------------------------------------------------------
Edward |
Snowden | Education Recoded
Scale | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
hero | .1102 .1287 .112 .1234 .1177
2 | .0844 .0975 .1387 .1025 .0995
3 | .0918 .1179 .0828 .0901 .0989
4 | .2182 .1512 .1757 .2327 .1894
5 | .0993 .06 .0811 .0612 .0801
6 | .0826 .1119 .1169 .0812 .0983
villain | .3135 .3328 .2929 .309 .3161
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 18.1528
Design-based F(15.68, 15299.67)= 0.7627 P = 0.7269
. svy: tab Q6b famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 854
Number of PSUs = 854 Population size = 830.46626
Design df = 853
---------------------------------------------
Edward |
Snowden | Family Income Recoded
Scale | <30K <50K <100K >100K Total
----------+----------------------------------
hero | .1297 .0993 .0964 .0914 .1068
2 | .1073 .0823 .1094 .0815 .0984
3 | .0803 .0884 .1448 .0349 .0966
4 | .1974 .2061 .1778 .1558 .188
5 | .0971 .0941 .0515 .1227 .0854
6 | .0889 .1452 .0725 .1357 .1038
villain | .2993 .2845 .3476 .3778 .321
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 32.9331
Design-based F(15.85, 13516.71)= 1.2073 P = 0.2534
27
. svy: tab Q6b racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
------------------------------------------------------------
Edward |
Snowden | Race Recoded
Scale | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
hero | .0968 .1309 .1924 .1414 .1177
2 | .1142 .0248 .0912 .0829 .0995
3 | .0999 .057 .1186 .1053 .0989
4 | .1819 .2153 .1772 .2381 .1894
5 | .0751 .0519 .1 .116 .0801
6 | .1091 .1164 .0623 .0539 .0983
villain | .3229 .4037 .2583 .2623 .3161
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 33.1890
Design-based F(15.49, 15121.00)= 0.8392 P = 0.6376
. svy: tab Q6b religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 931
Number of PSUs = 931 Population size = 911.57196
Design df = 930
----------------------------------------------------------------------
Edward |
Snowden | Religion recoded
Scale | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
hero | .0957 .0856 .0954 .1561 .1432 .1157
2 | .1 .0608 .0625 .0854 .1353 .0977
3 | .0958 .0502 .1001 .1125 .1125 .0971
4 | .217 .1539 .1649 .1953 .2085 .1919
5 | .0637 .0809 .098 .089 .0625 .075
6 | .0911 .1207 .1031 .0936 .0776 .0934
villain | .3367 .4479 .376 .2682 .2604 .3293
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 39.7988
Design-based F(21.24, 19756.26)= 1.1708 P = 0.2649
. svy: tab Q6b newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
--------------------------------------------------
Edward |
Snowden | Pay attention to the news recoded
Scale | Now&then Some of Most of Total
----------+---------------------------------------
hero | .1047 .1274 .1177 .1177
2 | .0412 .1209 .1127 .0995
3 | .1117 .0871 .1002 .0989
4 | .3627 .1467 .138 .1894
5 | .0778 .0635 .0909 .0801
6 | .0945 .1048 .096 .0983
villain | .2074 .3495 .3445 .3161
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 65.8623
Design-based F(10.53, 10281.60)= 3.3611 P = 0.0002
. svy: tab Q6b know3catr, col
(running tabulate on estimation sample)
28
Number of strata = 1 Number of obs = 977
Number of PSUs = 977 Population size = 970.50066
Design df = 976
--------------------------------------------------
Edward |
Snowden | Political Awareness - 3 categories
Scale | Low Know Mid Know High Kno Total
----------+---------------------------------------
hero | .1305 .1053 .1132 .1177
2 | .0425 .1157 .1718 .0995
3 | .0907 .1057 .1033 .0989
4 | .2509 .1713 .1126 .1894
5 | .0796 .0466 .1255 .0801
6 | .1004 .1059 .0845 .0983
villain | .3055 .3495 .2892 .3161
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 58.1872
Design-based F(11.31, 11035.09)= 3.0609 P = 0.0004
.
.
. svy: tab Q7
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
-----------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism |
. | proportions
----------+------------
prot pri | .5122
2 | .2395
3 | .0934
4 | .0676
5 | .0419
9 | .0454
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q7 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | PID 3pt Recoded
. | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
prot pri | .5565 .4747 .5049 .5122
2 | .2219 .2463 .2578 .2395
3 | .1182 .0855 .064 .0934
4 | .0643 .0636 .0815 .0676
5 | .0207 .0421 .0793 .0419
9 | .0185 .0877 .0125 .0454
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
29
Pearson:
Uncorrected chi2(10) = 47.0212
Design-based F(9.10, 9030.12)= 3.2465 P = 0.0006
. svy: tab Q7 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Ideology 5 pt recoded
. | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
prot pri | .7776 .458 .4691 .5151 .5205 .5122
2 | .1467 .31 .2387 .2238 .2434 .2395
3 | .0453 .1575 .1103 .0509 .05 .0934
4 | .0069 .0462 .0713 .1088 .0605 .0676
5 | .0235 .0245 .0201 .0782 .1016 .0419
9 | 0 .0038 .0905 .0231 .024 .0454
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 107.0414
Design-based F(16.94, 16808.55)= 4.2711 P = 0.0000
. svy: tab Q7 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
----------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Age Categories Recode
. | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
prot pri | .3812 .5242 .5216 .519 .62 .5122
2 | .2626 .2375 .2348 .2536 .2005 .2395
3 | .1899 .0792 .0777 .0759 .046 .0934
4 | .0459 .0937 .0793 .0858 .0271 .0676
5 | 0 .036 .0526 .0424 .0809 .0419
9 | .1204 .0293 .0341 .0233 .0254 .0454
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 91.9197
Design-based F(15.45, 15329.78)= 3.0745 P = 0.0000
. svy: tab Q7 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
----------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
30
domestic |
terrorism | Gender Recoded
. | Male Female Total
----------+-----------------------
prot pri | .4836 .5392 .5122
2 | .2492 .2302 .2395
3 | .0664 .119 .0934
4 | .0942 .0425 .0676
5 | .0501 .0341 .0419
9 | .0564 .035 .0454
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 23.0415
Design-based F(4.62, 4584.62)= 2.7661 P = 0.0198
. svy: tab Q7 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Education Recoded
. | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
prot pri | .506 .5119 .5158 .5405 .5122
2 | .2079 .2422 .2896 .2895 .2395
3 | .1087 .1011 .0509 .0697 .0934
4 | .0865 .0466 .0794 .0302 .0676
5 | .0351 .0384 .0569 .0611 .0419
9 | .0559 .0597 .0073 .009 .0454
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 27.7859
Design-based F(12.21, 12110.69)= 1.4672 P = 0.1268
. svy: tab Q7 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 866
Number of PSUs = 866 Population size = 845.66246
Design df = 865
---------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Family Income Recoded
. | <30K <50K <100K >100K Total
----------+----------------------------------
prot pri | .4981 .5408 .5034 .5982 .523
2 | .2653 .2338 .2573 .2285 .2504
3 | .1041 .0968 .0872 .076 .0935
4 | .0815 .0515 .0751 .0311 .0657
5 | .0109 .0451 .0583 .0662 .0411
9 | .0402 .0318 .0187 0 .0264
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 22.9477
Design-based F(14.17, 12260.56)= 1.0872 P = 0.3632
31
. svy: tab Q7 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Race Recoded
. | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
prot pri | .5361 .4162 .4812 .4971 .5122
2 | .2611 .273 .1915 .1204 .2395
3 | .0784 .1198 .076 .2018 .0934
4 | .0619 .0448 .1318 .0313 .0676
5 | .0514 .0139 .0349 .0154 .0419
9 | .0112 .1323 .0846 .134 .0454
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 96.3274
Design-based F(13.29, 13181.89)= 3.2674 P = 0.0000
. svy: tab Q7 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 948
Number of PSUs = 948 Population size = 935.69394
Design df = 947
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Religion recoded
. | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
prot pri | .5279 .5778 .5734 .5101 .429 .5082
2 | .237 .2644 .1986 .1892 .266 .2398
3 | .0544 .0536 .0766 .1364 .1271 .091
4 | .0933 .0575 .0697 .0599 .0662 .0709
5 | .0526 .0229 .0473 .0437 .0423 .0428
9 | .0348 .0238 .0344 .0607 .0693 .0473
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 33.3989
Design-based F(17.69, 16749.93)= 1.1958 P = 0.2552
. svy: tab Q7 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Pay attention to the news recoded
. | Now&then Some of Most of Total
----------+---------------------------------------
32
prot pri | .3324 .5179 .5935 .5122
2 | .1948 .3098 .2173 .2395
3 | .2278 .0584 .0515 .0934
4 | .0541 .0758 .069 .0676
5 | .0133 .0274 .0642 .0419
9 | .1775 .0107 .0044 .0454
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 209.5391
Design-based F(8.74, 8669.51)= 14.5881 P = 0.0000
. svy: tab Q7 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 989.08487
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
domestic |
terrorism | Political Awareness - 3 categories
. | Low Know Mid Know High Kno Total
----------+---------------------------------------
prot pri | .447 .5711 .5462 .5122
2 | .2433 .2352 .2386 .2395
3 | .1306 .065 .067 .0934
4 | .0668 .0629 .0757 .0676
5 | .0153 .0557 .0697 .0419
9 | .0972 .0102 .0028 .0454
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 74.2116
Design-based F(8.69, 8623.55)= 5.1925 P = 0.0000
.
. svy: tab Q8
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
-----------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism |
. | proportions
----------+------------
Str Agr | .3448
SW Agr | .2672
Neither | .1613
SW Disag | .1019
Str Disa | .0772
DK | .0476
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q8 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
33
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | PID 3pt Recoded
. | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .302 .3321 .4445 .3448
SW Agr | .2536 .2598 .3052 .2672
Neither | .1865 .1627 .1141 .1613
SW Disag | .1324 .0974 .0566 .1019
Str Disa | .1011 .0652 .0579 .0772
DK | .0244 .0828 .0216 .0476
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 44.1811
Design-based F(9.07, 8955.40)= 2.9365 P = 0.0017
. svy: tab Q8 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Ideology 5 pt recoded
. | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .2375 .2256 .3194 .4513 .5252 .3448
SW Agr | .1616 .2827 .2757 .31 .2143 .2672
Neither | .1415 .2235 .1749 .1113 .1255 .1613
SW Disag | .203 .1651 .0975 .0533 .0205 .1019
Str Disa | .2505 .0901 .0413 .0526 .0904 .0772
DK | .0059 .013 .0913 .0214 .024 .0476
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 145.1410
Design-based F(17.05, 16832.26)= 5.0495 P = 0.0000
. svy: tab Q8 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
----------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Age Categories Recode
. | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .187 .2755 .3181 .3966 .5289 .3448
SW Agr | .2726 .2599 .2243 .3231 .2286 .2672
Neither | .2761 .1486 .1901 .1032 .1104 .1613
34
SW Disag | .1062 .1314 .1275 .0833 .0708 .1019
Str Disa | .0495 .1521 .1022 .0608 .0319 .0772
DK | .1086 .0324 .0379 .033 .0293 .0476
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 112.7203
Design-based F(15.84, 15637.70)= 3.7801 P = 0.0000
. svy: tab Q8 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
----------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Gender Recoded
. | Male Female Total
----------+-----------------------
Str Agr | .3387 .3505 .3448
SW Agr | .2768 .2581 .2672
Neither | .1467 .1752 .1613
SW Disag | .099 .1046 .1019
Str Disa | .0835 .0713 .0772
DK | .0553 .0403 .0476
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 3.3805
Design-based F(4.74, 4675.76)= 0.4053 P = 0.8359
. svy: tab Q8 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Education Recoded
. | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .3964 .3256 .2967 .2495 .3448
SW Agr | .2691 .2482 .3008 .2667 .2672
Neither | .1581 .1718 .1287 .2058 .1613
SW Disag | .0773 .104 .1345 .1567 .1019
Str Disa | .0465 .086 .1245 .1029 .0772
DK | .0526 .0644 .0148 .0183 .0476
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 34.5582
Design-based F(12.34, 12184.39)= 1.7679 P = 0.0455
. svy: tab Q8 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 864
Number of PSUs = 864 Population size = 843.07618
35
Design df = 863
---------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Family Income Recoded
. | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .3899 .3093 .3914 .2803 .3565
SW Agr | .272 .3199 .2341 .2726 .2722
Neither | .1489 .1558 .1734 .1962 .1642
SW Disag | .0982 .0881 .1098 .1233 .1025
Str Disa | .0551 .0927 .068 .1147 .076
DK | .0359 .0343 .0233 .0128 .0287
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 17.2014
Design-based F(14.24, 12288.76)= 0.8028 P = 0.6692
. svy: tab Q8 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Race Recoded
. | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .3503 .269 .4487 .2186 .3448
SW Agr | .304 .2947 .1734 .1181 .2672
Neither | .1463 .1982 .1258 .2888 .1613
SW Disag | .1074 .0453 .0739 .1725 .1019
Str Disa | .0761 .0522 .1063 .0659 .0772
DK | .0159 .1406 .0719 .1361 .0476
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 97.6873
Design-based F(13.30, 13128.93)= 3.4125 P = 0.0000
. svy: tab Q8 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 943
Number of PSUs = 943 Population size = 929.41949
Design df = 942
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Religion recoded
. | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .4836 .3425 .4294 .3353 .243 .3544
SW Agr | .282 .2623 .2623 .1981 .2881 .2709
36
Neither | .1112 .1687 .1389 .1973 .1796 .1563
SW Disag | .0445 .1065 .0774 .1359 .1244 .0959
Str Disa | .0402 .0919 .0551 .0727 .0963 .0734
DK | .0385 .028 .0369 .0607 .0687 .0491
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 53.8932
Design-based F(18.06, 17009.45)= 1.9874 P = 0.0075
. svy: tab Q8 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Pay attention to the news recoded
. | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .2326 .3333 .4044 .3448
SW Agr | .1989 .3625 .2411 .2672
Neither | .267 .1235 .1348 .1613
SW Disag | .079 .1195 .1019 .1019
Str Disa | .0497 .0431 .1109 .0772
DK | .1728 .0181 .0069 .0476
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 158.8870
Design-based F(9.60, 9473.87)= 12.0769 P = 0.0000
. svy: tab Q8 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 988
Number of PSUs = 988 Population size = 982.81041
Design df = 987
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
are an |
example |
of |
internati |
onal |
terrorism | Political Awareness - 3 categories
. | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .3366 .408 .272 .3448
SW Agr | .2879 .2454 .2608 .2672
Neither | .1828 .1366 .1576 .1613
SW Disag | .0587 .0949 .1873 .1019
Str Disa | .0392 .0949 .1195 .0772
DK | .0947 .0202 .0028 .0476
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 85.7523
Design-based F(9.33, 9207.09)= 6.5109 P = 0.0000
.
. svy: tab Q9
(running tabulate on estimation sample)
37
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
-----------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of |
a terro | proportions
----------+------------
Str Agr | .316
SW Agr | .2687
Neither | .1917
SW Disag | .1053
Str Disa | .0824
DK | .0359
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q9 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | PID 3pt Recoded
a terro | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .3079 .314 .3344 .316
SW Agr | .2742 .2332 .3268 .2687
Neither | .2147 .1874 .1588 .1917
SW Disag | .1075 .1071 .0979 .1053
Str Disa | .0777 .0918 .0729 .0824
DK | .0179 .0665 .0092 .0359
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 26.1790
Design-based F(9.33, 9224.29)= 1.6825 P = 0.0843
. svy: tab Q9 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Ideology 5 pt recoded
a terro | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .2331 .1919 .3373 .418 .3079 .316
SW Agr | .2333 .2123 .2898 .2645 .3229 .2687
Neither | .1946 .3305 .1622 .1338 .1921 .1917
SW Disag | .1698 .1326 .0944 .0865 .0799 .1053
Str Disa | .1622 .1288 .0454 .0809 .0799 .0824
DK | .0069 .0038 .071 .0164 .0172 .0359
|
38
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 95.4710
Design-based F(18.19, 17988.16)= 3.4524 P = 0.0000
. svy: tab Q9 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
----------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Age Categories Recode
a terro | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .2175 .2362 .2703 .3342 .5142 .316
SW Agr | .2744 .2579 .2414 .2927 .2639 .2687
Neither | .2201 .1503 .2356 .1975 .152 .1917
SW Disag | .1273 .1906 .0863 .0865 .0446 .1053
Str Disa | .0822 .1243 .1394 .0716 .0037 .0824
DK | .0784 .0406 .0271 .0175 .0216 .0359
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 99.7182
Design-based F(15.67, 15493.94)= 3.1765 P = 0.0000
. svy: tab Q9 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
----------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Gender Recoded
a terro | Male Female Total
----------+-----------------------
Str Agr | .2798 .3503 .316
SW Agr | .2394 .2963 .2687
Neither | .2004 .1835 .1917
SW Disag | .1268 .085 .1053
Str Disa | .1114 .0551 .0824
DK | .0422 .0298 .0359
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 21.8845
Design-based F(4.76, 4704.76)= 2.6893 P = 0.0217
. svy: tab Q9 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
------------------------------------------------------------
The |
Boston |
Marathon |
39
Bombings… |
made me |
more |
concerned |
about the |
threat of | Education Recoded
a terro | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .377 .3317 .1758 .2214 .316
SW Agr | .2576 .2683 .2875 .2895 .2687
Neither | .1457 .2084 .2602 .2181 .1917
SW Disag | .0944 .0674 .1863 .1549 .1053
Str Disa | .0731 .0884 .0828 .1071 .0824
DK | .0522 .0358 .0074 .009 .0359
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 54.2146
Design-based F(12.26, 12121.31)= 2.7879 P = 0.0007
. svy: tab Q9 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 864
Number of PSUs = 864 Population size = 843.61778
Design df = 863
---------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Family Income Recoded
a terro | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .3959 .3066 .3141 .1987 .3236
SW Agr | .2404 .3063 .2394 .3693 .2727
Neither | .1641 .2168 .2304 .1481 .1957
SW Disag | .1122 .0687 .0904 .1924 .1047
Str Disa | .0596 .0731 .107 .0915 .0816
DK | .0277 .0286 .0187 0 .0217
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 40.2093
Design-based F(14.11, 12180.77)= 1.8458 P = 0.0268
. svy: tab Q9 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Race Recoded
a terro | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .3045 .2928 .4396 .2272 .316
SW Agr | .2642 .3227 .2232 .3132 .2687
Neither | .2066 .2043 .1195 .185 .1917
SW Disag | .1213 .0169 .0953 .105 .1053
Str Disa | .0963 .0196 .0546 .0978 .0824
DK | .0071 .1436 .0678 .0719 .0359
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
40
Pearson:
Uncorrected chi2(15) = 90.2070
Design-based F(12.67, 12531.80)= 3.0771 P = 0.0002
. svy: tab Q9 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 945
Number of PSUs = 945 Population size = 932.98728
Design df = 944
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Religion recoded
a terro | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .3762 .3844 .4196 .3088 .2308 .3295
SW Agr | .2741 .274 .3109 .2293 .2784 .28
Neither | .1955 .1655 .1801 .2184 .1779 .1832
SW Disag | .0787 .1105 .0436 .0962 .1352 .0976
Str Disa | .0486 .0464 .024 .094 .1213 .0725
DK | .0269 .0191 .0217 .0533 .0565 .0372
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 59.3537
Design-based F(17.91, 16910.71)= 2.1545 P = 0.0031
. svy: tab Q9 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
about the |
threat of | Pay attention to the news recoded
a terro | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .2192 .3688 .3291 .316
SW Agr | .2592 .314 .2452 .2687
Neither | .2301 .1652 .1899 .1917
SW Disag | .1073 .0749 .1231 .1053
Str Disa | .0393 .0684 .1115 .0824
DK | .1449 .0088 .0012 .0359
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 126.0606
Design-based F(9.38, 9274.25)= 8.6051 P = 0.0000
. svy: tab Q9 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 990
Number of PSUs = 990 Population size = 986.37821
Design df = 989
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
concerned |
41
about the |
threat of | Political Awareness - 3 categories
a terro | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .3642 .3584 .1729 .316
SW Agr | .2679 .2399 .3096 .2687
Neither | .1851 .1877 .2088 .1917
SW Disag | .0679 .1159 .1567 .1053
Str Disa | .0373 .0896 .1521 .0824
DK | .0775 .0085 0 .0359
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 95.9682
Design-based F(9.30, 9196.06)= 6.2497 P = 0.0000
.
. svy: tab Q10
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
-----------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is |
too in | proportions
----------+------------
Str Agr | .3023
SW Agr | .2121
Neither | .2224
SW Disag | .1229
Str Disa | .1016
DK | .0388
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q10 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | PID 3pt Recoded
too in | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .3062 .2967 .306 .3023
SW Agr | .2126 .2157 .2041 .2121
Neither | .2589 .2045 .1916 .2224
SW Disag | .102 .1237 .1587 .1229
Str Disa | .0973 .0906 .1304 .1016
DK | .0231 .0689 .0092 .0388
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 26.4256
Design-based F(9.37, 9325.06)= 1.8813 P = 0.0472
. svy: tab Q10 ideo5r, col
(running tabulate on estimation sample)
42
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Ideology 5 pt recoded
too in | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .3166 .2105 .3245 .3333 .2895 .3023
SW Agr | .1571 .1873 .2142 .2661 .1837 .2121
Neither | .2131 .3573 .2098 .147 .2119 .2224
SW Disag | .1067 .1357 .0991 .1532 .1488 .1229
Str Disa | .2065 .0981 .0756 .0841 .149 .1016
DK | 0 .011 .0768 .0162 .0172 .0388
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 78.8495
Design-based F(17.81, 17716.30)= 2.8226 P = 0.0001
. svy: tab Q10 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
----------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Age Categories Recode
too in | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .2538 .3746 .2467 .3435 .2754 .3023
SW Agr | .1646 .1801 .1815 .2295 .2966 .2121
Neither | .2744 .1631 .2728 .2162 .1871 .2224
SW Disag | .1855 .0953 .1083 .0962 .1368 .1229
Str Disa | .0433 .1442 .1608 .0946 .0749 .1016
DK | .0784 .0426 .03 .02 .0291 .0388
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 64.2510
Design-based F(15.48, 15406.28)= 2.1611 P = 0.0051
. svy: tab Q10 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
----------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Gender Recoded
too in | Male Female Total
----------+-----------------------
Str Agr | .2738 .3291 .3023
SW Agr | .177 .245 .2121
Neither | .2469 .1995 .2224
43
SW Disag | .1398 .107 .1229
Str Disa | .1205 .0838 .1016
DK | .0421 .0357 .0388
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 16.1931
Design-based F(4.63, 4607.75)= 2.0119 P = 0.0794
. svy: tab Q10 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Education Recoded
too in | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .3899 .2972 .1756 .1215 .3023
SW Agr | .2022 .2415 .1892 .1853 .2121
Neither | .1938 .2158 .2871 .2665 .2224
SW Disag | .1007 .0939 .193 .2195 .1229
Str Disa | .0614 .1086 .1444 .1981 .1016
DK | .052 .0431 .0106 .009 .0388
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 75.2597
Design-based F(12.45, 12385.59)= 4.0388 P = 0.0000
. svy: tab Q10 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 869
Number of PSUs = 869 Population size = 848.31379
Design df = 868
---------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Family Income Recoded
too in | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .4133 .2837 .269 .1865 .3076
SW Agr | .1972 .2311 .2478 .1248 .212
Neither | .2202 .2668 .228 .2612 .2394
SW Disag | .0858 .0981 .1313 .2135 .1192
Str Disa | .0511 .0801 .1078 .2139 .0966
DK | .0323 .0403 .0161 0 .0252
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 65.3580
Design-based F(14.17, 12298.43)= 3.0435 P = 0.0001
. svy: tab Q10 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
44
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Race Recoded
too in | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .2755 .2134 .4688 .3293 .3023
SW Agr | .2173 .2444 .1849 .1808 .2121
Neither | .2172 .3177 .1855 .2132 .2224
SW Disag | .1468 .0602 .0491 .1384 .1229
Str Disa | .1337 .0067 .0445 .0665 .1016
DK | .0096 .1575 .0673 .0719 .0388
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 116.1074
Design-based F(12.60, 12534.84)= 4.3615 P = 0.0000
. svy: tab Q10 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 951
Number of PSUs = 951 Population size = 938.34527
Design df = 950
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Religion recoded
too in | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .3796 .2725 .2733 .2768 .3173 .3116
SW Agr | .2175 .2245 .2648 .1781 .1856 .2141
Neither | .2182 .1938 .205 .2479 .2092 .2108
SW Disag | .0659 .2046 .1285 .1014 .1302 .1251
Str Disa | .0848 .0815 .1006 .143 .1018 .0981
DK | .034 .023 .0278 .0528 .0558 .0403
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 29.5206
Design-based F(18.22, 17310.90)= 1.0821 P = 0.3627
. svy: tab Q10 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Pay attention to the news recoded
too in | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .2844 .3475 .2828 .3023
SW Agr | .1685 .2719 .1957 .2121
Neither | .2903 .2058 .2008 .2224
SW Disag | .0535 .1075 .165 .1229
Str Disa | .0597 .05 .1531 .1016
DK | .1436 .0174 .0026 .0388
|
45
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 140.0160
Design-based F(9.38, 9334.82)= 10.2886 P = 0.0000
. svy: tab Q10 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 991.7362
Design df = 995
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
concerned |
that the |
United |
States is | Political Awareness - 3 categories
too in | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .3874 .3241 .123 .3023
SW Agr | .1911 .2538 .1917 .2121
Neither | .2375 .1796 .2548 .2224
SW Disag | .0646 .1247 .2227 .1229
Str Disa | .0364 .1077 .2078 .1016
DK | .0832 .0102 0 .0388
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 158.6125
Design-based F(9.11, 9066.39)= 11.5474 P = 0.0000
.
. svy: tab Q11
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
-----------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is |
do | proportions
----------+------------
Str Agr | .1585
SW Agr | .1884
Neither | .3567
SW Disag | .1212
Str Disa | .1176
DK | .0577
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q11 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
46
more |
aware of |
what the |
United |
States is | PID 3pt Recoded
do | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .2124 .1185 .1385 .1585
SW Agr | .193 .1799 .1962 .1884
Neither | .3555 .3683 .3367 .3567
SW Disag | .1154 .1227 .1286 .1212
Str Disa | .0904 .112 .1769 .1176
DK | .0334 .0985 .0231 .0577
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 41.1112
Design-based F(9.32, 9247.66)= 2.9097 P = 0.0017
. svy: tab Q11 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Ideology 5 pt recoded
do | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .1937 .1593 .1591 .1444 .1501 .1585
SW Agr | .1133 .1636 .1998 .2397 .1471 .1884
Neither | .3194 .4705 .324 .3351 .3757 .3567
SW Disag | .164 .0994 .1379 .0952 .1047 .1212
Str Disa | .186 .087 .0729 .1602 .1963 .1176
DK | .0235 .0202 .1062 .0254 .0261 .0577
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 70.7307
Design-based F(18.23, 18084.52)= 2.6215 P = 0.0002
. svy: tab Q11 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
----------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Age Categories Recode
do | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .1192 .1627 .1232 .1801 .1973 .1585
SW Agr | .0872 .1403 .1938 .2505 .2453 .1884
Neither | .3969 .3213 .4114 .3239 .3452 .3567
SW Disag | .1525 .1411 .1219 .0987 .101 .1212
Str Disa | .1362 .1949 .1132 .1006 .0514 .1176
DK | .108 .0395 .0365 .0462 .0598 .0577
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
47
Pearson:
Uncorrected chi2(20) = 63.1627
Design-based F(15.33, 15212.12)= 2.0091 P = 0.0108
. svy: tab Q11 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
----------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Gender Recoded
do | Male Female Total
----------+-----------------------
Str Agr | .1267 .1885 .1585
SW Agr | .1695 .2062 .1884
Neither | .3986 .3171 .3567
SW Disag | .1124 .1295 .1212
Str Disa | .1284 .1074 .1176
DK | .0644 .0513 .0577
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 14.6364
Design-based F(4.77, 4730.17)= 1.7827 P = 0.1164
. svy: tab Q11 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Education Recoded
do | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .2181 .1495 .075 .0534 .1585
SW Agr | .1813 .2266 .1359 .173 .1884
Neither | .32 .3648 .4034 .4204 .3567
SW Disag | .0981 .1215 .1647 .1506 .1212
Str Disa | .1097 .0816 .1831 .1777 .1176
DK | .0729 .056 .0378 .0248 .0577
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 52.2563
Design-based F(12.79, 12688.12)= 2.7459 P = 0.0007
. svy: tab Q11 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 866
Number of PSUs = 866 Population size = 845.33732
Design df = 865
---------------------------------------------
The |
Boston |
Marathon |
Bombings… |
48
made me |
more |
aware of |
what the |
United |
States is | Family Income Recoded
do | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .251 .1517 .155 .0531 .1715
SW Agr | .2086 .1701 .1909 .1651 .188
Neither | .3185 .3642 .3815 .4434 .3652
SW Disag | .0925 .1162 .1353 .1925 .1243
Str Disa | .0698 .1394 .1115 .1222 .1067
DK | .0595 .0583 .0258 .0237 .0442
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 42.9845
Design-based F(13.84, 11973.16)= 2.0208 P = 0.0135
. svy: tab Q11 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Race Recoded
do | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .1396 .2275 .2337 .0955 .1585
SW Agr | .1929 .2084 .2155 .0879 .1884
Neither | .3687 .2703 .3109 .4422 .3567
SW Disag | .1481 .0324 .0548 .1333 .1212
Str Disa | .1246 .1178 .0797 .1278 .1176
DK | .0261 .1436 .1054 .1133 .0577
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 75.8225
Design-based F(12.18, 12084.34)= 2.4953 P = 0.0027
. svy: tab Q11 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 948
Number of PSUs = 948 Population size = 935.3688
Design df = 947
----------------------------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Religion recoded
do | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .2052 .176 .1941 .0966 .1303 .1638
SW Agr | .1971 .275 .2689 .162 .122 .1942
Neither | .3738 .3305 .3093 .3741 .3564 .3477
SW Disag | .1042 .1075 .1098 .1692 .1304 .12
Str Disa | .0842 .0703 .0667 .1176 .1795 .115
DK | .0355 .0406 .0512 .0805 .0815 .0593
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
49
Key: column proportions
Pearson:
Uncorrected chi2(20) = 58.1919
Design-based F(18.58, 17598.98)= 2.1799 P = 0.0023
. svy: tab Q11 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Pay attention to the news recoded
do | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .1444 .1968 .1415 .1585
SW Agr | .1257 .2348 .1894 .1884
Neither | .3975 .3543 .339 .3567
SW Disag | .0797 .1181 .1427 .1212
Str Disa | .0972 .0705 .1561 .1176
DK | .1555 .0255 .0312 .0577
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 79.0305
Design-based F(9.19, 9117.40)= 4.7908 P = 0.0000
. svy: tab Q11 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 993
Number of PSUs = 993 Population size = 988.75973
Design df = 992
--------------------------------------------------
The |
Boston |
Marathon |
Bombings… |
made me |
more |
aware of |
what the |
United |
States is | Political Awareness - 3 categories
do | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .23 .1291 .0729 .1585
SW Agr | .2024 .21 .1339 .1884
Neither | .3218 .3276 .4582 .3567
SW Disag | .0767 .1609 .1449 .1212
Str Disa | .0783 .1256 .1759 .1176
DK | .0908 .0469 .0143 .0577
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 82.2879
Design-based F(9.14, 9065.35)= 5.3747 P = 0.0000
.
. svy: tab Q12
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
-----------------------
Behavior |
after |
50
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting |
eve | proportions
----------+------------
Yes | .0841
No | .8649
Don't kn | .051
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q12 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
--------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | PID 3pt Recoded
eve | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Yes | .0855 .0734 .1018 .0841
No | .8935 .8271 .8849 .8649
Don't kn | .021 .0995 .0133 .051
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 33.4305
Design-based F(3.66, 3620.94)= 5.8287 P = 0.0002
. svy: tab Q12 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
----------------------------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Ideology 5 pt recoded
eve | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Yes | .0896 .0737 .0821 .0914 .0898 .0841
No | .8927 .9011 .8263 .882 .8929 .8649
Don't kn | .0177 .0252 .0916 .0266 .0173 .051
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 23.7846
Design-based F(6.99, 6901.53)= 2.1037 P = 0.0400
. svy: tab Q12 agecatr, col
(running tabulate on estimation sample)
51
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
----------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Age Categories Recode
eve | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Yes | .0919 .0986 .0722 .0859 .0702 .0841
No | .7803 .8511 .9083 .8778 .9078 .8649
Don't kn | .1278 .0502 .0195 .0364 .022 .051
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 33.4020
Design-based F(6.37, 6290.96)= 2.7437 P = 0.0099
. svy: tab Q12 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
----------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Gender Recoded
eve | Male Female Total
----------+-----------------------
Yes | .0572 .1094 .0841
No | .873 .8573 .8649
Don't kn | .0699 .0333 .051
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 14.5677
Design-based F(1.99, 1965.51)= 3.8623 P = 0.0214
. svy: tab Q12 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
------------------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Education Recoded
eve | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Yes | .1199 .0761 .0385 .0198 .0841
No | .8073 .8673 .9534 .9802 .8649
52
Don't kn | .0728 .0566 .0081 0 .051
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 32.5435
Design-based F(4.66, 4600.65)= 4.0039 P = 0.0017
. svy: tab Q12 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 864
Number of PSUs = 864 Population size = 849.3686
Design df = 863
---------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Family Income Recoded
eve | <30K <50K <100K >100K Total
----------+----------------------------------
Yes | .1449 .0858 .0654 .0286 .0911
No | .8035 .8617 .9049 .9542 .8682
Don't kn | .0516 .0524 .0297 .0171 .0407
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 21.8399
Design-based F(5.36, 4628.13)= 2.3462 P = 0.0349
. svy: tab Q12 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
------------------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Race Recoded
eve | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Yes | .0763 .0707 .1139 .1099 .0841
No | .896 .7715 .7928 .8594 .8649
Don't kn | .0277 .1579 .0933 .0307 .051
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 41.0925
Design-based F(4.80, 4745.61)= 3.4989 P = 0.0042
. svy: tab Q12 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 944
Number of PSUs = 944 Population size = 928.32453
Design df = 943
----------------------------------------------------------------------
Behavior |
after |
Bombings |
53
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Religion recoded
eve | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Yes | .0836 .0698 .1234 .0844 .0648 .0834
No | .8637 .9088 .8498 .8587 .8507 .8624
Don't kn | .0527 .0214 .0269 .0568 .0845 .0542
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 17.1137
Design-based F(7.13, 6718.99)= 1.5126 P = 0.1564
. svy: tab Q12 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
--------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Pay attention to the news recoded
eve | Now&then Some of Most of Total
----------+---------------------------------------
Yes | .1076 .0754 .0788 .0841
No | .7356 .9048 .8988 .8649
Don't kn | .1568 .0198 .0224 .051
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 67.9024
Design-based F(3.39, 3346.40)= 9.6097 P = 0.0000
. svy: tab Q12 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 989
Number of PSUs = 989 Population size = 986.42113
Design df = 988
--------------------------------------------------
Behavior |
after |
Bombings |
- |
Decrease |
attendanc |
e at |
public |
gathering |
s, |
sporting | Political Awareness - 3 categories
eve | Low Know Mid Know High Kno Total
----------+---------------------------------------
Yes | .1403 .049 .0357 .0841
No | .7758 .9111 .9543 .8649
Don't kn | .084 .0399 .01 .051
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 51.8908
Design-based F(3.15, 3111.06)= 8.7830 P = 0.0000
54
.
. svy: tab Q13
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
-----------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism |
a | proportions
----------+------------
Yes | .199
Same | .7045
No | .0965
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q13 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
--------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | PID 3pt Recoded
a | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Yes | .2262 .1724 .2004 .199
Same | .6575 .7158 .7681 .7045
No | .1163 .1117 .0315 .0965
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 17.1080
Design-based F(3.53, 3510.50)= 2.5019 P = 0.0478
. svy: tab Q13 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
----------------------------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Ideology 5 pt recoded
a | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Yes | .1207 .2159 .2018 .2208 .1866 .199
Same | .8149 .7105 .647 .7361 .7531 .7045
No | .0643 .0735 .1511 .0431 .0603 .0965
|
Total | 1 1 1 1 1 1
55
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 30.4026
Design-based F(6.77, 6740.34)= 2.3826 P = 0.0211
. svy: tab Q13 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
----------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Age Categories Recode
a | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Yes | .1553 .1705 .1774 .2223 .2614 .199
Same | .6384 .7459 .7358 .7061 .7029 .7045
No | .2062 .0836 .0868 .0716 .0357 .0965
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 42.8667
Design-based F(6.66, 6623.12)= 2.9469 P = 0.0052
. svy: tab Q13 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
----------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Gender Recoded
a | Male Female Total
----------+-----------------------
Yes | .1531 .2428 .199
Same | .7281 .6819 .7045
No | .1188 .0752 .0965
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 15.7057
Design-based F(1.93, 1920.97)= 3.8995 P = 0.0217
. svy: tab Q13 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
------------------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
56
of |
terrorism | Education Recoded
a | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Yes | .2256 .2162 .1343 .1155 .199
Same | .6604 .672 .8272 .8262 .7045
No | .114 .1118 .0385 .0583 .0965
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 23.9095
Design-based F(4.91, 4885.51)= 2.7059 P = 0.0197
. svy: tab Q13 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 869
Number of PSUs = 869 Population size = 853.08129
Design df = 868
---------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Family Income Recoded
a | <30K <50K <100K >100K Total
----------+----------------------------------
Yes | .2384 .2314 .2067 .0906 .2081
Same | .6437 .7108 .7273 .8367 .7105
No | .118 .0577 .066 .0727 .0813
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 20.2823
Design-based F(5.42, 4703.27)= 2.0213 P = 0.0667
. svy: tab Q13 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
------------------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Race Recoded
a | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Yes | .1709 .2184 .3329 .1653 .199
Same | .7834 .5243 .4845 .6894 .7045
No | .0458 .2573 .1826 .1453 .0965
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 95.4980
Design-based F(5.63, 5604.23)= 7.1343 P = 0.0000
. svy: tab Q13 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 950
Number of PSUs = 950 Population size = 937.575
Design df = 949
57
----------------------------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Religion recoded
a | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Yes | .2194 .2065 .2845 .1671 .1473 .2014
Same | .6697 .7494 .6326 .6731 .7477 .7019
No | .1109 .0441 .0828 .1598 .105 .0966
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(8) = 23.7356
Design-based F(6.92, 6565.61)= 1.8015 P = 0.0833
. svy: tab Q13 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
--------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Pay attention to the news recoded
a | Now&then Some of Most of Total
----------+---------------------------------------
Yes | .105 .2586 .2062 .199
Same | .6111 .6921 .7552 .7045
No | .2839 .0493 .0386 .0965
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 124.1528
Design-based F(3.69, 3675.92)= 15.9833 P = 0.0000
. svy: tab Q13 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 996
Number of PSUs = 996 Population size = 996.5037
Design df = 995
--------------------------------------------------
Behavior |
after |
Bombings |
- Paid |
closer |
attention |
to media |
coverage |
of |
terrorism | Political Awareness - 3 categories
a | Low Know Mid Know High Kno Total
----------+---------------------------------------
Yes | .2675 .1894 .0947 .199
Same | .5725 .7554 .8625 .7045
No | .1601 .0552 .0429 .0965
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 74.6090
58
Design-based F(3.40, 3378.37)= 10.0545 P = 0.0000
.
. svy: tab Q14
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
-----------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism |
. | proportions
----------+------------
Str Agr | .0717
SW Agr | .141
Neither | .2361
SW Disag | .2404
Str Disa | .26
DK | .0509
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q14 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | PID 3pt Recoded
. | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .1306 .0348 .036 .0717
SW Agr | .194 .0911 .1404 .141
Neither | .3023 .2362 .1172 .2361
SW Disag | .1924 .2575 .2941 .2404
Str Disa | .1551 .2851 .4004 .26
DK | .0257 .0952 .012 .0509
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 131.1910
Design-based F(9.59, 9561.45)= 9.7442 P = 0.0000
. svy: tab Q14 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
----------------------------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Ideology 5 pt recoded
59
. | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .0931 .0762 .0773 .0365 .0957 .0717
SW Agr | .1617 .1327 .1751 .1149 .0521 .141
Neither | .1668 .3238 .2914 .1147 .1856 .2361
SW Disag | .2031 .2494 .1956 .3476 .2126 .2404
Str Disa | .3508 .1891 .1638 .3799 .4307 .26
DK | .0246 .0289 .0968 .0064 .0232 .0509
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 132.0641
Design-based F(18.00, 17945.16)= 4.8616 P = 0.0000
. svy: tab Q14 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
----------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Age Categories Recode
. | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .0728 .1086 .0681 .0659 .0462 .0717
SW Agr | .1227 .0835 .1028 .1891 .1834 .141
Neither | .3152 .2542 .2078 .1963 .2176 .2361
SW Disag | .214 .2222 .2841 .2385 .248 .2404
Str Disa | .1746 .2596 .3037 .2845 .2753 .26
DK | .1007 .0719 .0335 .0258 .0295 .0509
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 53.4410
Design-based F(15.62, 15575.30)= 1.6536 P = 0.0498
. svy: tab Q14 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
----------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Gender Recoded
. | Male Female Total
----------+-----------------------
Str Agr | .0443 .0976 .0717
SW Agr | .1112 .1692 .141
Neither | .2153 .2557 .2361
SW Disag | .2708 .2117 .2404
Str Disa | .2962 .2257 .26
DK | .0622 .0401 .0509
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 28.3333
Design-based F(4.79, 4780.35)= 3.4317 P = 0.0049
60
. svy: tab Q14 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
------------------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Education Recoded
. | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .0926 .0747 .0386 .0151 .0717
SW Agr | .1408 .1341 .1433 .168 .141
Neither | .2625 .2419 .1772 .195 .2361
SW Disag | .2207 .2481 .2726 .2427 .2404
Str Disa | .2135 .2541 .3379 .3715 .26
DK | .0699 .047 .0304 .0076 .0509
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 32.8880
Design-based F(12.67, 12632.58)= 1.7650 P = 0.0442
. svy: tab Q14 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 872
Number of PSUs = 872 Population size = 855.16673
Design df = 871
---------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Family Income Recoded
. | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .1039 .1201 .0308 .0227 .0751
SW Agr | .193 .1325 .1049 .1594 .1467
Neither | .253 .2194 .2742 .2212 .2473
SW Disag | .2127 .2351 .2681 .2445 .2394
Str Disa | .1828 .2423 .2986 .3471 .254
DK | .0547 .0505 .0233 .0051 .0377
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 50.3783
Design-based F(13.54, 11796.31)= 2.4195 P = 0.0025
. svy: tab Q14 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
------------------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
61
terrorism | Race Recoded
. | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .0518 .1114 .1315 .0779 .0717
SW Agr | .1452 .2046 .1069 .0927 .141
Neither | .2131 .2924 .3045 .2325 .2361
SW Disag | .2915 .1244 .1171 .1912 .2404
Str Disa | .2738 .1481 .226 .3388 .26
DK | .0246 .1192 .1141 .0668 .0509
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 85.5403
Design-based F(13.52, 13479.08)= 2.7691 P = 0.0005
. svy: tab Q14 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 952
Number of PSUs = 952 Population size = 937.15394
Design df = 951
----------------------------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Religion recoded
. | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .1245 .0483 .0881 .0931 .0485 .0762
SW Agr | .1236 .2553 .1509 .1236 .1102 .144
Neither | .2159 .192 .2947 .2628 .2238 .2353
SW Disag | .2614 .2722 .1552 .1767 .2451 .2285
Str Disa | .2479 .2005 .2434 .2815 .3044 .2626
DK | .0267 .0318 .0677 .0623 .0681 .0535
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 51.2189
Design-based F(17.46, 16602.00)= 1.8092 P = 0.0203
. svy: tab Q14 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Pay attention to the news recoded
. | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .0886 .092 .0515 .0717
SW Agr | .1325 .1551 .1364 .141
Neither | .3432 .2473 .1799 .2361
SW Disag | .1555 .2402 .2798 .2404
Str Disa | .1393 .2235 .3378 .26
DK | .1409 .0419 .0147 .0509
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 106.7351
Design-based F(9.15, 9118.07)= 6.5934 P = 0.0000
62
. svy: tab Q14 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- The |
media |
accuratel |
y |
portrays |
the |
threat of |
terrorism | Political Awareness - 3 categories
. | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .1245 .0519 .0078 .0717
SW Agr | .142 .1309 .1528 .141
Neither | .2936 .177 .2172 .2361
SW Disag | .2008 .2611 .2803 .2404
Str Disa | .1504 .3468 .3307 .26
DK | .0887 .0322 .0112 .0509
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 104.3151
Design-based F(9.54, 9515.41)= 7.3183 P = 0.0000
.
. svy: tab Q15
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
-----------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased |
in t | proportions
----------+------------
Str Agr | .3223
SW Agr | .295
Neither | .1804
SW Disag | .0981
Str Disa | .0493
DK | .055
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q15 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
--------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | PID 3pt Recoded
in t | Democrat Ind/DK/O Republic Total
63
----------+---------------------------------------
Str Agr | .2754 .3341 .3836 .3223
SW Agr | .3147 .2583 .3287 .295
Neither | .1947 .1967 .1241 .1804
SW Disag | .1142 .0835 .0966 .0981
Str Disa | .063 .036 .0498 .0493
DK | .0379 .0913 .0172 .055
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 35.1053
Design-based F(8.93, 8870.05)= 2.1090 P = 0.0258
. svy: tab Q15 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
----------------------------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Ideology 5 pt recoded
in t | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .2645 .1327 .3476 .4067 .4231 .3223
SW Agr | .1926 .2944 .2955 .3578 .2579 .295
Neither | .2057 .2969 .1649 .1058 .1776 .1804
SW Disag | .1735 .1508 .0757 .0639 .0977 .0981
Str Disa | .1141 .0997 .0201 .0507 .0137 .0493
DK | .0495 .0255 .0962 .0151 .0301 .055
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 121.4694
Design-based F(17.21, 17087.46)= 4.1577 P = 0.0000
. svy: tab Q15 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
----------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Age Categories Recode
in t | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .2099 .3066 .3272 .3247 .4511 .3223
SW Agr | .2257 .2368 .3052 .3289 .3674 .295
Neither | .2886 .1847 .1632 .1616 .1032 .1804
SW Disag | .1076 .117 .1138 .1042 .0451 .0981
Str Disa | .0483 .0976 .044 .0447 .0148 .0493
DK | .12 .0574 .0467 .0358 .0185 .055
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 87.2686
Design-based F(15.40, 15287.96)= 2.7047 P = 0.0003
. svy: tab Q15 genderr, col
64
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
----------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Gender Recoded
in t | Male Female Total
----------+-----------------------
Str Agr | .2978 .3455 .3223
SW Agr | .2749 .314 .295
Neither | .188 .1732 .1804
SW Disag | .1219 .0755 .0981
Str Disa | .0617 .0375 .0493
DK | .0558 .0542 .055
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 11.7829
Design-based F(4.84, 4806.43)= 1.3264 P = 0.2510
. svy: tab Q15 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
------------------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Education Recoded
in t | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .3735 .3091 .2277 .3078 .3223
SW Agr | .2562 .3346 .3076 .3045 .295
Neither | .1576 .1707 .2473 .2012 .1804
SW Disag | .0936 .0912 .1255 .0924 .0981
Str Disa | .0524 .0394 .0418 .0941 .0493
DK | .0666 .055 .0502 0 .055
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 28.6107
Design-based F(13.13, 13039.82)= 1.3597 P = 0.1695
. svy: tab Q15 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 869
Number of PSUs = 869 Population size = 852.1709
Design df = 868
---------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Family Income Recoded
65
in t | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .3962 .2962 .3126 .2304 .3248
SW Agr | .2831 .2521 .3481 .4069 .3111
Neither | .1481 .2081 .198 .1529 .1789
SW Disag | .0914 .1144 .0807 .1187 .0972
Str Disa | .0269 .0794 .0347 .0746 .0483
DK | .0543 .05 .0259 .0165 .0397
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 35.3284
Design-based F(13.64, 11841.77)= 1.5943 P = 0.0746
. svy: tab Q15 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
------------------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Race Recoded
in t | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .3338 .2056 .3875 .2654 .3223
SW Agr | .3153 .3061 .1835 .3085 .295
Neither | .1605 .2535 .1811 .2451 .1804
SW Disag | .1098 .0653 .0713 .0902 .0981
Str Disa | .048 .0249 .0934 .016 .0493
DK | .0326 .1447 .0832 .075 .055
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 56.3024
Design-based F(13.53, 13435.88)= 1.8162 P = 0.0327
. svy: tab Q15 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 949
Number of PSUs = 949 Population size = 934.15811
Design df = 948
----------------------------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Religion recoded
in t | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .46 .321 .3605 .3131 .2494 .3326
SW Agr | .2563 .3988 .3161 .2594 .3022 .3063
Neither | .0975 .1249 .1911 .1637 .2288 .173
SW Disag | .0985 .0821 .0754 .1414 .0742 .0857
Str Disa | .0468 .0321 .0211 .0283 .0729 .0472
DK | .0409 .0412 .0358 .0942 .0724 .0551
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 57.5578
Design-based F(17.38, 16475.00)= 2.0500 P = 0.0061
66
. svy: tab Q15 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
--------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Pay attention to the news recoded
in t | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .2293 .3449 .3515 .3223
SW Agr | .2372 .3414 .2936 .295
Neither | .2949 .1863 .1241 .1804
SW Disag | .0548 .0641 .1385 .0981
Str Disa | .0126 .0294 .0782 .0493
DK | .1713 .0339 .0142 .055
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 140.5961
Design-based F(9.57, 9502.30)= 10.0359 P = 0.0000
. svy: tab Q15 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 994
Number of PSUs = 994 Population size = 991.71311
Design df = 993
--------------------------------------------------
Agree or |
disagree |
- The |
terrorist |
threat in |
the |
United |
States |
has |
increased | Political Awareness - 3 categories
in t | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .3321 .3941 .2094 .3223
SW Agr | .2597 .3075 .3383 .295
Neither | .231 .1123 .1855 .1804
SW Disag | .0566 .1005 .1654 .0981
Str Disa | .0254 .0589 .0771 .0493
DK | .0953 .0267 .0242 .055
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 82.5633
Design-based F(9.20, 9133.67)= 4.8656 P = 0.0000
.
. svy: tab Q16
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
-----------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
67
in the |
United S | proportions
----------+------------
Str Agr | .5153
SW Agr | .1463
Neither | .1432
SW Disag | .0415
Str Disa | .1083
DK | .0454
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q16 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | PID 3pt Recoded
United S | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Str Agr | .706 .447 .3029 .5153
SW Agr | .1166 .1204 .2487 .1463
Neither | .1095 .158 .1756 .1432
SW Disag | .0041 .0746 .0458 .0415
Str Disa | .0497 .1096 .2107 .1083
DK | .014 .0904 .0162 .0454
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 160.4831
Design-based F(9.38, 9347.89)= 12.0586 P = 0.0000
. svy: tab Q16 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
----------------------------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Ideology 5 pt recoded
United S | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Str Agr | .9562 .8021 .4994 .2813 .1513 .5153
SW Agr | .0381 .0647 .1736 .2352 .0923 .1463
Neither | .0057 .1203 .1393 .2143 .1802 .1432
SW Disag | 0 .0051 .032 .0924 .0748 .0415
Str Disa | 0 .0039 .0651 .1499 .4843 .1083
DK | 0 .0039 .0907 .0269 .0172 .0454
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 396.1936
Design-based F(16.42, 16375.20)= 16.1598 P = 0.0000
. svy: tab Q16 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
68
Design df = 997
----------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Age Categories Recode
United S | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Str Agr | .4913 .6139 .5041 .4951 .4852 .5153
SW Agr | .1474 .0812 .1357 .1853 .1624 .1463
Neither | .1405 .1417 .146 .139 .1512 .1432
SW Disag | .0127 .0413 .04 .0504 .0611 .0415
Str Disa | .1264 .0571 .1257 .1129 .1152 .1083
DK | .0817 .0648 .0484 .0173 .0249 .0454
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 37.9347
Design-based F(15.21, 15159.78)= 1.1560 P = 0.2984
. svy: tab Q16 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
----------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Gender Recoded
United S | Male Female Total
----------+-----------------------
Str Agr | .5005 .5293 .5153
SW Agr | .122 .1694 .1463
Neither | .1385 .1477 .1432
SW Disag | .0413 .0416 .0415
Str Disa | .1382 .0799 .1083
DK | .0595 .032 .0454
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(5) = 16.3473
Design-based F(4.74, 4729.28)= 2.0326 P = 0.0748
. svy: tab Q16 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
------------------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Education Recoded
United S | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Str Agr | .46 .5451 .5426 .63 .5153
SW Agr | .1464 .1561 .1378 .1209 .1463
Neither | .1766 .1114 .1333 .1224 .1432
SW Disag | .0476 .0432 .0257 .0352 .0415
Str Disa | .1015 .1084 .1359 .0822 .1083
69
DK | .0679 .0358 .0246 .0093 .0454
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 24.1578
Design-based F(12.29, 12256.29)= 1.2487 P = 0.2408
. svy: tab Q16 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 872
Number of PSUs = 872 Population size = 855.16673
Design df = 871
---------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Family Income Recoded
United S | <30K <50K <100K >100K Total
----------+----------------------------------
Str Agr | .5576 .5213 .5177 .555 .536
SW Agr | .14 .167 .1159 .138 .1389
Neither | .133 .1466 .1562 .1434 .1448
SW Disag | .0346 .0293 .0419 .058 .0385
Str Disa | .0845 .0947 .147 .1055 .109
DK | .0503 .0411 .0212 0 .0327
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 18.3985
Design-based F(13.10, 11410.05)= 0.7802 P = 0.6832
. svy: tab Q16 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
------------------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Race Recoded
United S | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Str Agr | .5456 .3994 .4934 .4566 .5153
SW Agr | .1487 .1835 .0797 .1944 .1463
Neither | .1382 .1399 .165 .1495 .1432
SW Disag | .0489 0 .0447 .0281 .0415
Str Disa | .105 .1397 .0987 .1128 .1083
DK | .0136 .1374 .1187 .0585 .0454
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(15) = 69.5716
Design-based F(13.46, 13416.65)= 2.1772 P = 0.0074
. svy: tab Q16 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 952
Number of PSUs = 952 Population size = 937.15394
Design df = 951
----------------------------------------------------------------------
Agree or |
70
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Religion recoded
United S | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Str Agr | .357 .5366 .4047 .5462 .6001 .4941
SW Agr | .1768 .208 .1584 .1332 .1216 .1546
Neither | .1763 .0842 .2101 .1035 .1212 .1449
SW Disag | .05 .0606 .0336 .0196 .0424 .0431
Str Disa | .2065 .097 .1297 .1349 .0555 .1151
DK | .0335 .0136 .0636 .0626 .0592 .0482
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(20) = 73.4667
Design-based F(16.80, 15980.49)= 2.5194 P = 0.0005
. svy: tab Q16 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Pay attention to the news recoded
United S | Now&then Some of Most of Total
----------+---------------------------------------
Str Agr | .3622 .5392 .5715 .5153
SW Agr | .1953 .1746 .1066 .1463
Neither | .2145 .1259 .1209 .1432
SW Disag | .0302 .0269 .0555 .0415
Str Disa | .059 .0955 .1387 .1083
DK | .1389 .0378 .0068 .0454
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(10) = 107.2619
Design-based F(8.65, 8621.89)= 6.8973 P = 0.0000
. svy: tab Q16 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.08264
Design df = 997
--------------------------------------------------
Agree or |
disagree |
- Gays |
and |
lesbians |
should be |
allowed |
to serve |
in the | Political Awareness - 3 categories
United S | Low Know Mid Know High Kno Total
----------+---------------------------------------
Str Agr | .4621 .5113 .6117 .5153
SW Agr | .1623 .1375 .131 .1463
Neither | .1604 .1448 .1117 .1432
SW Disag | .0192 .06 .0547 .0415
Str Disa | .1037 .127 .0909 .1083
DK | .0923 .0194 0 .0454
|
Total | 1 1 1 1
--------------------------------------------------
71
Key: column proportions
Pearson:
Uncorrected chi2(10) = 57.7595
Design-based F(9.11, 9083.43)= 3.6490 P = 0.0001
.
. svy: tab Q17
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
-----------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist |
attacks | proportions
----------+------------
1 | .2144
2 | .1232
3 | .0849
4 | .1944
5 | .1002
6 | .1035
7 | .1794
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q17 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
--------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | PID 3pt Recoded
attacks | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
1 | .1448 .264 .2462 .2144
2 | .0809 .1503 .1483 .1232
3 | .0915 .0914 .0608 .0849
4 | .2194 .1827 .1713 .1944
5 | .1221 .0858 .0879 .1002
6 | .0956 .0932 .1368 .1035
7 | .2457 .1325 .1486 .1794
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 47.9290
Design-based F(11.66, 11448.15)= 2.6949 P = 0.0014
. svy: tab Q17 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
----------------------------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Ideology 5 pt recoded
attacks | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
1 | .2334 .1302 .1866 .2876 .3053 .2144
72
2 | .1603 .1679 .0704 .1335 .1986 .1232
3 | .1423 .1069 .0714 .0909 .0314 .0849
4 | .1403 .2476 .2218 .1536 .126 .1944
5 | .0326 .1361 .1162 .0887 .0607 .1002
6 | .0366 .0943 .1261 .0873 .1279 .1035
7 | .2544 .1171 .2076 .1584 .1502 .1794
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 79.4905
Design-based F(21.37, 20981.58)= 2.3289 P = 0.0005
. svy: tab Q17 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
----------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Age Categories Recode
attacks | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
1 | .2345 .2506 .2362 .1935 .1672 .2144
2 | .0875 .1585 .1487 .132 .0893 .1232
3 | .1102 .0938 .0956 .0716 .0585 .0849
4 | .2297 .1605 .2034 .2005 .1723 .1944
5 | .0618 .1293 .0833 .1249 .0919 .1002
6 | .1382 .0497 .1001 .0906 .1419 .1035
7 | .1381 .1575 .1328 .1869 .2788 .1794
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 48.4233
Design-based F(18.32, 17993.28)= 1.3416 P = 0.1487
. svy: tab Q17 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
----------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Gender Recoded
attacks | Male Female Total
----------+-----------------------
1 | .2659 .1643 .2144
2 | .1614 .0861 .1232
3 | .0829 .0868 .0849
4 | .1664 .2216 .1944
5 | .0957 .1046 .1002
6 | .0961 .1107 .1035
7 | .1316 .2259 .1794
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 39.9186
Design-based F(5.85, 5747.48)= 4.3615 P = 0.0002
. svy: tab Q17 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
73
------------------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Education Recoded
attacks | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
1 | .1826 .2453 .2621 .1383 .2144
2 | .1068 .1245 .1323 .1877 .1232
3 | .0465 .1011 .1188 .146 .0849
4 | .2208 .1943 .141 .1708 .1944
5 | .0868 .0973 .1387 .0987 .1002
6 | .1082 .085 .1135 .1397 .1035
7 | .2482 .1524 .0937 .1188 .1794
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 54.3259
Design-based F(16.36, 16070.00)= 2.4394 P = 0.0010
. svy: tab Q17 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 858
Number of PSUs = 858 Population size = 837.49553
Design df = 857
---------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Family Income Recoded
attacks | <30K <50K <100K >100K Total
----------+----------------------------------
1 | .1618 .1871 .2269 .12 .1829
2 | .1075 .11 .1437 .173 .1277
3 | .0841 .0778 .0738 .1461 .0872
4 | .2335 .2382 .1541 .0743 .1896
5 | .087 .1083 .1111 .1051 .102
6 | .1008 .0701 .1205 .2176 .1143
7 | .2252 .2084 .1701 .1639 .1961
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(18) = 47.5828
Design-based F(16.32, 13988.95)= 1.7623 P = 0.0290
. svy: tab Q17 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
------------------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Race Recoded
attacks | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
1 | .2153 .1863 .1842 .2889 .2144
2 | .1457 .0173 .1004 .1114 .1232
3 | .0897 .0396 .0867 .0981 .0849
4 | .2025 .2283 .2004 .0845 .1944
5 | .1008 .1025 .1097 .0778 .1002
6 | .0997 .1725 .0529 .1347 .1035
7 | .1464 .2536 .2657 .2047 .1794
|
Total | 1 1 1 1 1
------------------------------------------------------------
74
Key: column proportions
Pearson:
Uncorrected chi2(18) = 47.4148
Design-based F(16.00, 15710.09)= 1.3643 P = 0.1490
. svy: tab Q17 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 938
Number of PSUs = 938 Population size = 922.25532
Design df = 937
----------------------------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Religion recoded
attacks | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
1 | .2105 .1468 .1096 .31 .272 .2095
2 | .1004 .0925 .1058 .0809 .1556 .1186
3 | .0496 .1107 .0842 .0976 .0948 .0856
4 | .1655 .2415 .2205 .0923 .2016 .1956
5 | .1499 .0684 .0939 .0912 .0972 .103
6 | .1026 .1328 .1324 .1533 .0572 .1009
7 | .2214 .2072 .2536 .1747 .1215 .1869
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(24) = 70.9581
Design-based F(22.36, 20953.85)= 2.2907 P = 0.0005
. svy: tab Q17 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
--------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Pay attention to the news recoded
attacks | Now&then Some of Most of Total
----------+---------------------------------------
1 | .1908 .1783 .247 .2144
2 | .069 .0958 .1641 .1232
3 | .0755 .0935 .0839 .0849
4 | .2665 .1574 .1846 .1944
5 | .1293 .1208 .0746 .1002
6 | .1052 .1322 .0852 .1035
7 | .1637 .222 .1606 .1794
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 40.7558
Design-based F(11.27, 11069.22)= 2.1913 P = 0.0116
. svy: tab Q17 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 983
Number of PSUs = 983 Population size = 979.81032
Design df = 982
--------------------------------------------------
More |
afraid - |
Invasion |
of |
privacy |
vs. |
Terrorist | Political Awareness - 3 categories
75
attacks | Low Know Mid Know High Kno Total
----------+---------------------------------------
1 | .1692 .2336 .2648 .2144
2 | .0558 .1357 .2199 .1232
3 | .0673 .1021 .0918 .0849
4 | .2277 .1599 .1842 .1944
5 | .1262 .0862 .0752 .1002
6 | .1336 .0843 .0783 .1035
7 | .2204 .1981 .0858 .1794
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 76.5487
Design-based F(11.32, 11115.81)= 4.3726 P = 0.0000
.
. svy: tab Q18
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
-----------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen |
t | proportions
----------+------------
All of m | .156
Some of | .3354
Very lit | .26
None of | .2486
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q18 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
--------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | PID 3pt Recoded
t | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
All of m | .1612 .1478 .1622 .156
Some of | .3809 .3123 .2969 .3354
Very lit | .2611 .248 .2808 .26
None of | .1968 .2919 .2601 .2486
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 12.1109
Design-based F(5.95, 5936.59)= 1.3302 P = 0.2400
. svy: tab Q18 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
----------------------------------------------------------------------
Amount of |
informati |
76
on |
comfortab |
le |
sharing |
with the |
governmen | Ideology 5 pt recoded
t | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
All of m | .1931 .1326 .1782 .1102 .1698 .156
Some of | .3765 .4277 .3451 .3174 .1295 .3354
Very lit | .2322 .2749 .2251 .3032 .3103 .26
None of | .1982 .1648 .2516 .2693 .3904 .2486
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 43.1087
Design-based F(11.37, 11336.07)= 2.4650 P = 0.0040
. svy: tab Q18 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
----------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Age Categories Recode
t | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
All of m | .0977 .1322 .1406 .1614 .2477 .156
Some of | .3832 .2941 .3016 .3461 .3419 .3354
Very lit | .227 .3144 .2697 .2602 .232 .26
None of | .2921 .2593 .2881 .2322 .1784 .2486
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 28.0312
Design-based F(9.59, 9558.19)= 1.4869 P = 0.1408
. svy: tab Q18 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
----------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Gender Recoded
t | Male Female Total
----------+-----------------------
All of m | .1321 .1789 .156
Some of | .324 .3463 .3354
Very lit | .2603 .2597 .26
None of | .2836 .2151 .2486
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 8.5856
Design-based F(3.00, 2986.70)= 1.8206 P = 0.1413
. svy: tab Q18 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
77
Number of PSUs = 998 Population size = 996.33626
Design df = 997
------------------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Education Recoded
t | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
All of m | .1919 .1368 .1167 .1292 .156
Some of | .3428 .3181 .318 .4122 .3354
Very lit | .1946 .2857 .3571 .2929 .26
None of | .2707 .2593 .2082 .1657 .2486
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 26.3270
Design-based F(8.34, 8318.76)= 2.3349 P = 0.0152
. svy: tab Q18 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 872
Number of PSUs = 872 Population size = 854.07109
Design df = 871
---------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Family Income Recoded
t | <30K <50K <100K >100K Total
----------+----------------------------------
All of m | .1783 .1791 .1663 .1351 .1693
Some of | .3283 .296 .3629 .4278 .3436
Very lit | .2732 .2326 .2787 .3184 .2706
None of | .2202 .2923 .1921 .1187 .2165
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 18.7559
Design-based F(8.75, 7618.45)= 1.4562 P = 0.1605
. svy: tab Q18 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
------------------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Race Recoded
t | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
All of m | .1595 .0945 .1931 .1391 .156
Some of | .3359 .3111 .3045 .4127 .3354
Very lit | .2727 .2763 .231 .1931 .26
None of | .2319 .3182 .2714 .2551 .2486
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(9) = 11.6781
78
Design-based F(8.66, 8638.61)= 0.6334 P = 0.7633
. svy: tab Q18 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 952
Number of PSUs = 952 Population size = 937.40756
Design df = 951
----------------------------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Religion recoded
t | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
All of m | .1464 .1568 .2412 .1558 .1038 .1533
Some of | .299 .4689 .2555 .3414 .35 .3363
Very lit | .2845 .2202 .3003 .2212 .2372 .2567
None of | .2702 .1542 .203 .2816 .309 .2537
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(12) = 43.5358
Design-based F(11.51, 10950.60)= 2.8103 P = 0.0009
. svy: tab Q18 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
--------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Pay attention to the news recoded
t | Now&then Some of Most of Total
----------+---------------------------------------
All of m | .125 .1867 .1516 .156
Some of | .2956 .3809 .326 .3354
Very lit | .2004 .2471 .2953 .26
None of | .379 .1853 .2272 .2486
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 32.4778
Design-based F(5.83, 5812.39)= 3.6392 P = 0.0015
. svy: tab Q18 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 998
Number of PSUs = 998 Population size = 996.33626
Design df = 997
--------------------------------------------------
Amount of |
informati |
on |
comfortab |
le |
sharing |
with the |
governmen | Political Awareness - 3 categories
t | Low Know Mid Know High Kno Total
----------+---------------------------------------
All of m | .2064 .1593 .0652 .156
Some of | .3027 .3519 .3693 .3354
Very lit | .1938 .2929 .3295 .26
None of | .2971 .1959 .236 .2486
|
79
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(6) = 43.2535
Design-based F(5.86, 5839.73)= 5.1507 P = 0.0000
.
. svy: tab Q19
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
-----------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding |
on | proportions
----------+------------
Invest, | .522
No priv | .478
|
Total | 1
-----------------------
Key: proportions = cell proportions
. svy: tab Q19 pid3r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
--------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | PID 3pt Recoded
on | Democrat Ind/DK/O Republic Total
----------+---------------------------------------
Invest, | .5658 .4704 .5383 .522
No priv | .4342 .5296 .4617 .478
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 7.3153
Design-based F(2.00, 1958.63)= 2.3311 P = 0.0975
. svy: tab Q19 ideo5r, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
----------------------------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
80
intruding | Ideology 5 pt recoded
on | Very Lib Liberal Moderate Conserva Very Con Total
----------+-----------------------------------------------------------
Invest, | .5582 .4805 .5592 .5278 .3996 .522
No priv | .4418 .5195 .4408 .4722 .6004 .478
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 9.9415
Design-based F(3.94, 3858.86)= 1.6710 P = 0.1548
. svy: tab Q19 agecatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
----------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Age Categories Recode
on | 18-29 30-39 40-49 50-64 65up Total
----------+-----------------------------------------
Invest, | .4125 .3767 .4893 .6015 .6967 .522
No priv | .5875 .6233 .5107 .3985 .3033 .478
|
Total | 1 1 1 1 1 1
----------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 53.5935
Design-based F(3.16, 3093.37)= 8.5914 P = 0.0000
. svy: tab Q19 genderr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
----------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Gender Recoded
on | Male Female Total
----------+-----------------------
Invest, | .4634 .5792 .522
No priv | .5366 .4208 .478
|
Total | 1 1 1
----------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(1) = 13.1866
Design-based F(1, 980) = 8.3525 P = 0.0039
. svy: tab Q19 educr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
------------------------------------------------------------
More |
81
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Education Recoded
on | Some HS/ Some Col 4yr degr 4 Total
----------+-------------------------------------------------
Invest, | .5617 .4879 .48 .5553 .522
No priv | .4383 .5121 .52 .4447 .478
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 5.6353
Design-based F(2.79, 2738.79)= 1.4706 P = 0.2229
. svy: tab Q19 famincr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 859
Number of PSUs = 859 Population size = 841.66041
Design df = 858
---------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Family Income Recoded
on | <30K <50K <100K >100K Total
----------+----------------------------------
Invest, | .5371 .5436 .5582 .5474 .5466
No priv | .4629 .4564 .4418 .4526 .4534
|
Total | 1 1 1 1 1
---------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 0.2496
Design-based F(2.98, 2558.07)= 0.0538 P = 0.9832
. svy: tab Q19 racer, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
------------------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Race Recoded
on | White Black Hispanic Race-oth Total
----------+-------------------------------------------------
Invest, | .5317 .6084 .4911 .399 .522
No priv | .4683 .3916 .5089 .601 .478
|
Total | 1 1 1 1 1
------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(3) = 8.7722
Design-based F(2.93, 2868.14)= 1.3708 P = 0.2503
82
. svy: tab Q19 religcatr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 935
Number of PSUs = 935 Population size = 914.42167
Design df = 934
----------------------------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Religion recoded
on | Evang, P ML Prot Catholic Rel-Oth No Relig Total
----------+-----------------------------------------------------------
Invest, | .5348 .6393 .5852 .4824 .4361 .5229
No priv | .4652 .3607 .4148 .5176 .5639 .4771
|
Total | 1 1 1 1 1 1
----------------------------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(4) = 21.0679
Design-based F(3.91, 3652.02)= 3.7915 P = 0.0048
. svy: tab Q19 newsintr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
--------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Pay attention to the news recoded
on | Now&then Some of Most of Total
----------+---------------------------------------
Invest, | .5493 .5509 .4926 .522
No priv | .4507 .4491 .5074 .478
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 3.2612
Design-based F(2.00, 1955.88)= 1.0004 P = 0.3678
. svy: tab Q19 know3catr, col
(running tabulate on estimation sample)
Number of strata = 1 Number of obs = 981
Number of PSUs = 981 Population size = 973.35037
Design df = 980
--------------------------------------------------
More |
important |
- |
Investiga |
te |
possible |
terrorist |
threats |
or Not |
risk |
intruding | Political Awareness - 3 categories
on | Low Know Mid Know High Kno Total
----------+---------------------------------------
Invest, | .5727 .549 .4028 .522
No priv | .4273 .451 .5972 .478
83
|
Total | 1 1 1 1
--------------------------------------------------
Key: column proportions
Pearson:
Uncorrected chi2(2) = 19.2139
Design-based F(1.99, 1952.02)= 6.2543 P = 0.0020
.
end of do-file
. log close
name: <unnamed>
log: C:\Users\Josh\Dropbox\CPO\Academic National Poll Terrorism Fall13\
> SPSS file with knowledge codes\UML CPO Security Terrorism X-TABS with KNOWLED
> GE.smcl
log type: smcl
closed on: 20 Sep 2013, 17:53:31
-------------------------------------------------------------------------------
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