video      
 Min.   :1.000  
 1st Qu.:1.000  
 Median :2.000  
 Mean   :2.465  
 3rd Qu.:3.000  
 Max.   :4.000  
       q1        
 Min.   :-1.000  
 1st Qu.: 1.000  
 Median : 2.000  
 Mean   : 2.274  
 3rd Qu.: 3.000  
 Max.   : 5.000  
       q2        
 Min.   :-2.000  
 1st Qu.:-2.000  
 Median :-2.000  
 Mean   :-0.483  
 3rd Qu.: 2.000  
 Max.   : 3.000  
       q5        
 Min.   :-1.000  
 1st Qu.: 4.000  
 Median : 4.000  
 Mean   : 4.809  
 3rd Qu.: 6.000  
 Max.   : 8.000  
       q6        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 2.000  
 Mean   : 2.696  
 3rd Qu.: 4.000  
 Max.   : 5.000  
       q7        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 3.000  
 Mean   : 3.134  
 3rd Qu.: 4.000  
 Max.   : 5.000  
       q8        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 3.000  
 Mean   : 3.009  
 3rd Qu.: 4.000  
 Max.   : 6.000  
      q11        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 2.000  
 Mean   : 2.341  
 3rd Qu.: 3.000  
 Max.   : 4.000  
      q12        
 Min.   :-1.000  
 1st Qu.: 1.000  
 Median : 2.000  
 Mean   : 2.387  
 3rd Qu.: 3.000  
 Max.   : 6.000  
      q13        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 2.000  
 Mean   : 2.087  
 3rd Qu.: 2.000  
 Max.   : 3.000  
      q14        
 Min.   :-1.000  
 1st Qu.: 2.000  
 Median : 3.000  
 Mean   : 2.786  
 3rd Qu.: 3.000  
 Max.   : 4.000  
    ppgender    
 Min.   :1.000  
 1st Qu.:1.000  
 Median :1.000  
 Mean   :1.485  
 3rd Qu.:2.000  
 Max.   :2.000  
     ppage      
 Min.   :18.00  
 1st Qu.:40.00  
 Median :52.00  
 Mean   :52.35  
 3rd Qu.:65.00  
 Max.   :94.00  
     ppeth  
 Min.   :1  
 1st Qu.:1  
 Median :1  
 Mean   :1  
 3rd Qu.:1  
 Max.   :1  
    ppeducat    
 Min.   :1.000  
 1st Qu.:2.000  
 Median :3.000  
 Mean   :2.705  
 3rd Qu.:3.000  
 Max.   :4.000  
    exL_imV      
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.2657  
 3rd Qu.:1.0000  
 Max.   :1.0000  
    exL_neV    
 Min.   :0.00  
 1st Qu.:0.00  
 Median :0.00  
 Mean   :0.24  
 3rd Qu.:0.00  
 Max.   :1.00  
    neL_imV      
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.2489  
 3rd Qu.:0.0000  
 Max.   :1.0000  
    neL_neV      
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.2454  
 3rd Qu.:0.0000  
 Max.   :1.0000  
  issueadsbad      
 Min.   :  0.0000  
 1st Qu.:  0.2500  
 Median :  0.5000  
 Mean   :  0.3907  
 3rd Qu.:  0.5000  
 Max.   :  1.0000  
 NA's   :499.0000  
      educ      
 Min.   :1.000  
 1st Qu.:2.000  
 Median :3.000  
 Mean   :2.705  
 3rd Qu.:3.000  
 Max.   :4.000  
      age       
 Min.   :18.00  
 1st Qu.:40.00  
 Median :52.00  
 Mean   :52.35  
 3rd Qu.:65.00  
 Max.   :94.00  
      age2     
 Min.   : 324  
 1st Qu.:1600  
 Median :2704  
 Mean   :3013  
 3rd Qu.:4225  
 Max.   :8836  
     female      
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.4851  
 3rd Qu.:1.0000  
 Max.   :1.0000  
   Republican    
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.5000  
 Mean   :0.5015  
 3rd Qu.:1.0000  
 Max.   :1.0000  
 NA's   :2.0000  
  conservatism     
 Min.   :  0.0000  
 1st Qu.:  0.5000  
 Median :  0.5000  
 Mean   :  0.5537  
 3rd Qu.:  0.6667  
 Max.   :  1.0000  
 NA's   :501.0000  
    prdisp1a      
 Min.   :  0.000  
 1st Qu.:  1.000  
 Median :  2.000  
 Mean   :  1.555  
 3rd Qu.:  2.000  
 Max.   :  3.000  
 NA's   :388.000  
    prdisp2a      
 Min.   :  0.000  
 1st Qu.:  1.000  
 Median :  2.000  
 Mean   :  2.010  
 3rd Qu.:  3.000  
 Max.   :  3.000  
 NA's   :266.000  
 anti_black_predisp
 Min.   :  0.0000  
 1st Qu.:  0.5000  
 Median :  0.6667  
 Mean   :  0.5948  
 3rd Qu.:  0.8333  
 Max.   :  1.0000  
 NA's   :479.0000  
    educ_abp      
 Min.   :  0.000  
 1st Qu.:  1.000  
 Median :  1.500  
 Mean   :  1.591  
 3rd Qu.:  2.000  
 Max.   :  4.000  
 NA's   :479.000  
 decrease_spending 
 Min.   :  0.0000  
 1st Qu.:  0.0000  
 Median :  0.5000  
 Mean   :  0.4796  
 3rd Qu.:  1.0000  
 Max.   :  1.0000  
 NA's   :595.0000  
 strengthen_work_reqs
 Min.   :  0.0000    
 1st Qu.:  0.5000    
 Median :  0.7500    
 Mean   :  0.7259    
 3rd Qu.:  1.0000    
 Max.   :  1.0000    
 NA's   :287.0000    
 Oppose_Govt_Help_Blacks
 Min.   :  0.0000       
 1st Qu.:  1.0000       
 Median :  1.0000       
 Mean   :  0.8515       
 3rd Qu.:  1.0000       
 Max.   :  1.0000       
 NA's   :824.0000       
 Decrease_Affirmative_Action
 Min.   :  0.0000           
 1st Qu.:  0.5000           
 Median :  1.0000           
 Mean   :  0.8205           
 3rd Qu.:  1.0000           
 Max.   :  1.0000           
 NA's   :412.0000           
  neL_neV_abp      
 Min.   :  0.0000  
 1st Qu.:  0.0000  
 Median :  0.0000  
 Mean   :  0.1425  
 3rd Qu.:  0.0000  
 Max.   :  1.0000  
 NA's   :479.0000  
  exL_imV_abp      
 Min.   :  0.0000  
 1st Qu.:  0.0000  
 Median :  0.0000  
 Mean   :  0.1629  
 3rd Qu.:  0.1667  
 Max.   :  1.0000  
 NA's   :479.0000  
   video 
1.127543 
      q1 
1.229303 
      q2 
2.099876 
      q5 
1.777663 
      q6 
1.208436 
      q7 
1.051246 
      q8 
1.616310 
     q11 
1.017649 
     q12 
1.497198 
      q13 
0.6045289 
      q14 
0.6698523 
 ppgender 
0.4998459 
   ppage 
16.49156 
ppeth 
    0 
 ppeducat 
0.9411778 
  exL_imV 
0.4417846 
  exL_neV 
0.4271534 
  neL_imV 
0.4324113 
  neL_neV 
0.4303694 
issueadsbad 
  0.2979385 
     educ 
0.9411778 
     age 
16.49156 
    age2 
1748.434 
   female 
0.4998459 
Republican 
 0.4143225 
conservatism 
   0.2243794 
 prdisp1a 
0.9634582 
 prdisp2a 
0.9295256 
anti_black_predisp 
          0.256721 
 educ_abp 
0.8587893 
decrease_spending 
         0.385915 
strengthen_work_reqs 
           0.2804728 
Oppose_Govt_Help_Blacks 
              0.3556606 
Decrease_Affirmative_Action 
                   0.266921 
neL_neV_abp 
  0.2820897 
exL_imV_abp 
  0.3026305 
[1] "video"             "mean(issueadsbad)" "sd(issueadsbad)"  
[1] "exL_imv"           "0.425058548009368" "0.315817380624581"
[1] "neL_imV"           "0.366038882138518" "0.28345128521449" 
[1] "exL_neV"           "0.421259842519685" "0.297604519678311"
[1] "neL_neV"           "0.35"              "0.285953705012856"
[1] "video"                   "mean(decrease_spending)"
[3] "sd(decrease_spending)"   "n(decrease_spending)"   
[1] "exL_imv"           "0.462002412545235" "0.387848450150349"
[4] "829"              
[1] "neL_imV"           "0.481761006289308" "0.380549673027456"
[4] "795"              
[1] "exL_neV"           "0.483288770053476" "0.382062866953564"
[4] "748"              
[1] "neL_neV"           "0.492819843342037" "0.393094824892622"
[4] "766"              
[1] "video"                      "mean(strengthen_work_reqs)"
[3] "sd(strengthen_work_reqs)"   "n(strengthen_work_reqs)"   
[1] "exL_imv"           "0.720283533260633" "0.287575177718634"
[4] "917"              
[1] "neL_imV"           "0.73114849187935"  "0.268088174759796"
[4] "862"              
[1] "exL_neV"           "0.724242424242424" "0.278998189425763"
[4] "825"              
[1] "neL_neV"           "0.72832541567696"  "0.286781597568687"
[4] "842"              
[1] "video"                         "mean(Oppose_Govt_Help_Blacks)"
[3] "sd(Oppose_Govt_Help_Blacks)"   "n(Oppose_Govt_Help_Blacks)"   
[1] "exL_imv"           "0.852941176470588" "0.354391211767989"
[4] "782"              
[1] "neL_imV"          "0.84741144414169" "0.35983564867467" "734"             
[1] "exL_neV"           "0.848046309696093" "0.359236030192596"
[4] "691"              
[1] "neL_neV"           "0.857549857549858" "0.34976043514096" 
[4] "702"              
[1] "video"                             "mean(Decrease_Affirmative_Action)"
[3] "sd(Decrease_Affirmative_Action)"   "n(Decrease_Affirmative_Action)"   
[1] "exL_imv"           "0.831257078142695" "0.261595715159173"
[4] "883"              
[1] "neL_imV"           "0.809495192307692" "0.275460424060425"
[4] "832"              
[1] "exL_neV"           "0.825278810408922" "0.265614863882292"
[4] "807"              
[1] "neL_neV"           "0.815394242803504" "0.264955310965677"
[4] "799"              
-2LL,Step
[1] 4353.294    1.000
-2LL,Step
[1] 3884.014    1.000
-2LL,Step
[1] 3878.205    1.000
-2LL,Step
[1] 3878.179    1.000
-2LL,Step
[1] 3878.179    1.000

Logistic Regression Model

lrm(formula = decrease_spending ~ neL_neV + exL_imV + anti_black_predisp + 
    neL_neV_abp + exL_imV_abp + educ + age + age2 + female + 
    conservatism, data = temp, x = T, y = T, trace = T)


Frequencies of Responses
  0 0.5   1 
630 779 586 

Frequencies of Missing Values Due to Each Variable
 decrease_spending            neL_neV            exL_imV anti_black_predisp 
               447                  0                  0                369 
       neL_neV_abp        exL_imV_abp               educ                age 
               369                369                  0                  0 
              age2             female       conservatism 
                 0                  0                379 

       Obs  Max Deriv Model L.R.       d.f.          P          C        Dxy 
      1995      4e-10     475.12         10          0       0.72       0.44 
     Gamma      Tau-a         R2      Brier 
     0.441      0.291      0.239      0.185 

                   Coef       S.E.      Wald Z P     
y>=0.5             -1.9414788 0.4800261 -4.04  0.0001
y>=1               -3.9291199 0.4868533 -8.07  0.0000
neL_neV            -0.0137171 0.2700409 -0.05  0.9595
exL_imV             0.2342649 0.2602115  0.90  0.3680
anti_black_predisp  1.7707748 0.3016326  5.87  0.0000
neL_neV_abp         0.1540486 0.4252303  0.36  0.7171
exL_imV_abp        -0.5332644 0.4153521 -1.28  0.1992
educ                0.1772178 0.0491060  3.61  0.0003
age                -0.0175442 0.0163283 -1.07  0.2826
age2                0.0001717 0.0001502  1.14  0.2530
female             -0.1934668 0.0878343 -2.20  0.0276
conservatism        3.2981455 0.2207726 14.94  0.0000

-2LL,Step
[1] 5724.991    1.000
-2LL,Step
[1] 5246.805    1.000
-2LL,Step
[1] 5237.464    1.000
-2LL,Step
[1] 5237.431    1.000
-2LL,Step
[1] 5237.431    1.000

Logistic Regression Model

lrm(formula = strengthen_work_reqs ~ neL_neV + exL_imV + anti_black_predisp + 
    neL_neV_abp + exL_imV_abp + educ + age + age2 + female + 
    conservatism, data = temp, x = T, y = T, trace = T)


Frequencies of Responses
   0 0.25  0.5 0.75    1 
  90  211  233  783  821 

Frequencies of Missing Values Due to Each Variable
strengthen_work_reqs              neL_neV              exL_imV 
                 216                    0                    0 
  anti_black_predisp          neL_neV_abp          exL_imV_abp 
                 369                  369                  369 
                educ                  age                 age2 
                   0                    0                    0 
              female         conservatism 
                   0                  379 

       Obs  Max Deriv Model L.R.       d.f.          P          C        Dxy 
      2138      8e-11     487.56         10          0      0.697      0.394 
     Gamma      Tau-a         R2      Brier 
     0.397      0.274      0.219      0.035 

                   Coef       S.E.      Wald Z P     
y>=0.25             1.175e+00 0.4643267  2.53  0.0114
y>=0.5             -3.037e-01 0.4556690 -0.67  0.5051
y>=0.75            -1.117e+00 0.4576485 -2.44  0.0147
y>=1               -2.961e+00 0.4622955 -6.40  0.0000
neL_neV             2.569e-01 0.2801756  0.92  0.3592
exL_imV            -2.987e-01 0.2656754 -1.12  0.2608
anti_black_predisp  2.693e+00 0.3129851  8.60  0.0000
neL_neV_abp        -1.644e-01 0.4348570 -0.38  0.7053
exL_imV_abp         4.352e-01 0.4183804  1.04  0.2983
educ                1.721e-02 0.0454644  0.38  0.7050
age                -7.036e-03 0.0154160 -0.46  0.6481
age2               -1.191e-06 0.0001408 -0.01  0.9932
female             -1.089e-01 0.0846170 -1.29  0.1983
conservatism        1.992e+00 0.2073840  9.61  0.0000

-2LL,Step
[1] 1619.888    1.000
-2LL,Step
[1] 1158.830    1.000
-2LL,Step
[1] 1076.131    1.000
-2LL,Step
[1] 1070.511    1.000
-2LL,Step
[1] 1070.431    1.000
-2LL,Step
[1] 1070.431    1.000

Logistic Regression Model

lrm(formula = Oppose_Govt_Help_Blacks ~ neL_neV + exL_imV + anti_black_predisp + 
    neL_neV_abp + exL_imV_abp + educ + age + age2 + female + 
    conservatism, data = temp, x = T, y = T, trace = T)


Frequencies of Responses
   0    1 
 293 1566 

Frequencies of Missing Values Due to Each Variable
Oppose_Govt_Help_Blacks                 neL_neV                 exL_imV 
                    619                       0                       0 
     anti_black_predisp             neL_neV_abp             exL_imV_abp 
                    369                     369                     369 
                   educ                     age                    age2 
                      0                       0                       0 
                 female            conservatism 
                      0                     379 

       Obs  Max Deriv Model L.R.       d.f.          P          C        Dxy 
      1859      2e-09     549.46         10          0      0.869      0.738 
     Gamma      Tau-a         R2      Brier 
      0.74      0.196       0.44      0.084 

                   Coef       S.E.      Wald Z P     
Intercept          -1.843e+00 0.8617088 -2.14  0.0325
neL_neV             2.855e-01 0.4334290  0.66  0.5101
exL_imV            -1.830e-01 0.4506890 -0.41  0.6848
anti_black_predisp  5.666e+00 0.6894085  8.22  0.0000
neL_neV_abp         2.155e-02 0.9405035  0.02  0.9817
exL_imV_abp         5.935e-01 0.9569119  0.62  0.5351
educ               -1.461e-01 0.0874995 -1.67  0.0950
age                -7.606e-03 0.0279370 -0.27  0.7854
age2                1.272e-05 0.0002571  0.05  0.9605
female             -4.975e-02 0.1572507 -0.32  0.7517
conservatism        2.691e+00 0.3722752  7.23  0.0000

-2LL,Step
[1] 3037.988    1.000
-2LL,Step
[1] 2629.338    1.000
-2LL,Step
[1] 2614.788    1.000
-2LL,Step
[1] 2614.671    1.000
-2LL,Step
[1] 2614.671    1.000

Logistic Regression Model

lrm(formula = Decrease_Affirmative_Action ~ neL_neV + exL_imV + 
    anti_black_predisp + neL_neV_abp + exL_imV_abp + educ + age + 
    age2 + female + conservatism, data = temp, x = T, y = T, 
    trace = T)


Frequencies of Responses
   0  0.5    1 
  52  649 1390 

Frequencies of Missing Values Due to Each Variable
Decrease_Affirmative_Action                     neL_neV 
                        323                           0 
                    exL_imV          anti_black_predisp 
                          0                         369 
                neL_neV_abp                 exL_imV_abp 
                        369                         369 
                       educ                         age 
                          0                           0 
                       age2                      female 
                          0                           0 
               conservatism 
                        379 

       Obs  Max Deriv Model L.R.       d.f.          P          C        Dxy 
      2091      2e-10     423.32         10          0      0.751      0.503 
     Gamma      Tau-a         R2      Brier 
     0.521      0.232      0.239      0.023 

                   Coef       S.E.      Wald Z P     
y>=0.5              1.989e-01 0.5390791  0.37  0.7122
y>=1               -3.186e+00 0.5412550 -5.89  0.0000
neL_neV             1.538e-01 0.2888684  0.53  0.5946
exL_imV            -7.058e-02 0.3016931 -0.23  0.8150
anti_black_predisp  2.966e+00 0.3860625  7.68  0.0000
neL_neV_abp        -1.702e-02 0.4996244 -0.03  0.9728
exL_imV_abp         4.587e-01 0.5098549  0.90  0.3683
educ                1.689e-01 0.0576073  2.93  0.0034
age                 1.430e-02 0.0178181  0.80  0.4222
age2               -6.972e-05 0.0001665 -0.42  0.6754
female             -1.988e-01 0.1018557 -1.95  0.0510
conservatism        2.149e+00 0.2428870  8.85  0.0000