. tab2 wordgod bible -> tabulation of wordgod by bible | FEELINGS ABOUT THE BIBLE wordgod | 1 2 3 4 | Total -----------+--------------------------------------------+---------- 0 | 0 13,579 4,749 365 | 18,693 1 | 9,460 0 0 0 | 9,460 -----------+--------------------------------------------+---------- Total | 9,460 13,579 4,749 365 | 28,153 . ologit marhomo wordgod i.sex age i.race i.degree i.polviews i.year Iteration 0: log likelihood = -10727.387 Iteration 1: log likelihood = -9493.6638 Iteration 2: log likelihood = -9466.543 Iteration 3: log likelihood = -9466.4635 Iteration 4: log likelihood = -9466.4635 Ordered logistic regression Number of obs = 6884 LR chi2(19) = 2521.85 Prob > chi2 = 0.0000 Log likelihood = -9466.4635 Pseudo R2 = 0.1175 ------------------------------------------------------------------------------ marhomo | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | 1.144499 .0537814 21.28 0.000 1.039089 1.249909 2.sex | -.4571855 .0456743 -10.01 0.000 -.5467055 -.3676656 age | .0208307 .0013592 15.33 0.000 .0181667 .0234947 | race | 2 | .4074092 .0687802 5.92 0.000 .2726024 .542216 3 | .1049758 .0798782 1.31 0.189 -.0515825 .2615342 | degree | 1 | -.1076783 .0701002 -1.54 0.125 -.2450721 .0297155 2 | -.1511773 .104211 -1.45 0.147 -.3554272 .0530726 3 | -.3432895 .0834003 -4.12 0.000 -.5067512 -.1798278 4 | -.5351302 .0961249 -5.57 0.000 -.7235316 -.3467289 | polviews | 2 | .4013295 .1453999 2.76 0.006 .1163509 .6863081 3 | .7812823 .1461994 5.34 0.000 .4947367 1.067828 4 | 1.345698 .1376295 9.78 0.000 1.075949 1.615447 5 | 1.746211 .1458683 11.97 0.000 1.460314 2.032108 6 | 2.373857 .1474636 16.10 0.000 2.084833 2.66288 7 | 2.732588 .1959638 13.94 0.000 2.348506 3.11667 | year | 2006 | -1.029092 .0706297 -14.57 0.000 -1.167524 -.8906606 2008 | -1.214644 .0765807 -15.86 0.000 -1.36474 -1.064549 2010 | -1.548702 .0775689 -19.97 0.000 -1.700735 -1.39667 2012 | -1.756158 .0785135 -22.37 0.000 -1.910042 -1.602275 -------------+---------------------------------------------------------------- /cut1 | -.7968229 .1669383 -1.124016 -.4696299 /cut2 | .5755087 .1673082 .2475907 .9034268 /cut3 | 1.30085 .1677596 .9720475 1.629653 /cut4 | 2.243742 .1686561 1.913182 2.574302 ------------------------------------------------------------------------------ . ologit grnprog wordgod i.sex age i.race i.degree i.polviews i.year Iteration 0: log likelihood = -7042.99 Iteration 1: log likelihood = -6784.3455 Iteration 2: log likelihood = -6782.5783 Iteration 3: log likelihood = -6782.5766 Iteration 4: log likelihood = -6782.5766 Ordered logistic regression Number of obs = 5121 LR chi2(18) = 520.83 Prob > chi2 = 0.0000 Log likelihood = -6782.5766 Pseudo R2 = 0.0370 ------------------------------------------------------------------------------ grnprog | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | -.2602637 .0635965 -4.09 0.000 -.3849106 -.1356168 2.sex | .1485734 .0527144 2.82 0.005 .045255 .2518918 age | -.0071934 .0015853 -4.54 0.000 -.0103006 -.0040863 | race | 2 | -.516134 .0788931 -6.54 0.000 -.6707615 -.3615064 3 | -.7856007 .1129741 -6.95 0.000 -1.007026 -.5641756 | degree | 1 | .5892541 .0783747 7.52 0.000 .4356426 .7428656 2 | .905044 .1229302 7.36 0.000 .6641053 1.145983 3 | .9631056 .0952624 10.11 0.000 .7763947 1.149816 4 | 1.024881 .1160527 8.83 0.000 .7974219 1.25234 | polviews | 2 | -.000785 .1781132 -0.00 0.996 -.3498803 .3483104 3 | -.3195656 .1764718 -1.81 0.070 -.6654439 .0263127 4 | -.6578671 .1659961 -3.96 0.000 -.9832135 -.3325207 5 | -.6813951 .1732819 -3.93 0.000 -1.021021 -.3417689 6 | -1.052224 .1744083 -6.03 0.000 -1.394058 -.7103905 7 | -1.324358 .2150784 -6.16 0.000 -1.745904 -.9028122 | year | 1994 | -.1796668 .0716425 -2.51 0.012 -.3200835 -.0392502 2000 | .064124 .0746956 0.86 0.391 -.0822767 .2105247 2010 | -.2621984 .0713417 -3.68 0.000 -.4020256 -.1223711 -------------+---------------------------------------------------------------- /cut1 | -3.688112 .2065419 -4.092926 -3.283297 /cut2 | -1.209752 .1976145 -1.597069 -.8224347 /cut3 | -.3886197 .1970903 -.7749096 -.0023297 /cut4 | 2.164053 .2001748 1.771717 2.556388 ------------------------------------------------------------------------------ . ologit fefam wordgod i.sex age i.race i.degree i.polviews i.year Iteration 0: log likelihood = -29530.759 Iteration 1: log likelihood = -26716.166 Iteration 2: log likelihood = -26648.375 Iteration 3: log likelihood = -26648.215 Iteration 4: log likelihood = -26648.215 Ordered logistic regression Number of obs = 23849 LR chi2(32) = 5765.09 Prob > chi2 = 0.0000 Log likelihood = -26648.215 Pseudo R2 = 0.0976 ------------------------------------------------------------------------------ fefam | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | -.6466815 .0304768 -21.22 0.000 -.706415 -.586948 2.sex | .4360098 .0249479 17.48 0.000 .3871128 .4849069 age | -.0314377 .0007626 -41.23 0.000 -.0329323 -.029943 | race | 2 | .0548136 .0381067 1.44 0.150 -.0198743 .1295014 3 | -.5143566 .055135 -9.33 0.000 -.6224192 -.4062939 | degree | 1 | .5012432 .0353647 14.17 0.000 .4319297 .5705568 2 | .7753072 .0585639 13.24 0.000 .6605241 .8900902 3 | .9784242 .0451999 21.65 0.000 .8898341 1.067014 4 | 1.379942 .0553689 24.92 0.000 1.27142 1.488463 | polviews | 2 | -.2082415 .0820436 -2.54 0.011 -.3690439 -.0474391 3 | -.4210147 .081313 -5.18 0.000 -.5803852 -.2616442 4 | -.6507479 .0766196 -8.49 0.000 -.8009196 -.5005762 5 | -.8293617 .0801343 -10.35 0.000 -.986422 -.6723013 6 | -1.229191 .0808351 -15.21 0.000 -1.387625 -1.070757 7 | -1.641354 .1021273 -16.07 0.000 -1.84152 -1.441188 | year | 1985 | .908156 .0705829 12.87 0.000 .7698161 1.046496 1986 | .8112207 .0708369 11.45 0.000 .672383 .9500584 1988 | 1.232044 .0803743 15.33 0.000 1.074513 1.389575 1989 | 1.243908 .0811335 15.33 0.000 1.084889 1.402927 1990 | 1.225876 .081661 15.01 0.000 1.065823 1.385929 1991 | 1.269264 .079724 15.92 0.000 1.113008 1.42552 1993 | 1.460021 .0782194 18.67 0.000 1.306713 1.613328 1994 | 1.458331 .0675691 21.58 0.000 1.325898 1.590763 1996 | 1.262286 .0650193 19.41 0.000 1.13485 1.389721 1998 | 1.412858 .0688913 20.51 0.000 1.277834 1.547883 2000 | 1.256859 .0699299 17.97 0.000 1.119798 1.393919 2002 | 1.32148 .0830184 15.92 0.000 1.158767 1.484193 2004 | 1.399667 .0831865 16.83 0.000 1.236625 1.56271 2006 | 1.444367 .0682762 21.15 0.000 1.310548 1.578186 2008 | 1.438134 .0751735 19.13 0.000 1.290796 1.585471 2010 | 1.574268 .0737117 21.36 0.000 1.429796 1.71874 2012 | 1.612781 .075699 21.31 0.000 1.464414 1.761148 -------------+---------------------------------------------------------------- /cut1 | -3.049702 .1005992 -3.246873 -2.852532 /cut2 | -.782193 .0987801 -.9757984 -.5885876 /cut3 | 1.589128 .0988497 1.395386 1.782869 ------------------------------------------------------------------------------ . ologit eqwlth wordgod i.sex age i.race i.degree i.polviews i.year Iteration 0: log likelihood = -50610.242 Iteration 1: log likelihood = -48939.946 Iteration 2: log likelihood = -48926.752 Iteration 3: log likelihood = -48926.745 Iteration 4: log likelihood = -48926.745 Ordered logistic regression Number of obs = 26630 LR chi2(35) = 3366.99 Prob > chi2 = 0.0000 Log likelihood = -48926.745 Pseudo R2 = 0.0333 ------------------------------------------------------------------------------ eqwlth | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | -.1851195 .0293837 -6.30 0.000 -.2427105 -.1275285 2.sex | -.2648483 .0220323 -12.02 0.000 -.3080308 -.2216657 age | .0050254 .000657 7.65 0.000 .0037377 .0063131 | race | 2 | -.6758537 .0338417 -19.97 0.000 -.7421821 -.6095253 3 | -.3640265 .0500708 -7.27 0.000 -.4621634 -.2658896 | degree | 1 | .5177103 .0314966 16.44 0.000 .4559782 .5794424 2 | .6425233 .0523279 12.28 0.000 .5399625 .7450841 3 | .9499313 .0395284 24.03 0.000 .8724571 1.027405 4 | .7707259 .0483353 15.95 0.000 .6759905 .8654613 | polviews | 2 | .6340609 .0787482 8.05 0.000 .4797172 .7884046 3 | .9413294 .0777182 12.11 0.000 .7890046 1.093654 4 | 1.102024 .0739741 14.90 0.000 .9570371 1.24701 5 | 1.519305 .0767276 19.80 0.000 1.368922 1.669688 6 | 1.843383 .0778746 23.67 0.000 1.690752 1.996015 7 | 2.135378 .0996039 21.44 0.000 1.940157 2.330598 | year | 1980 | .2535797 .0812852 3.12 0.002 .0942637 .4128957 1983 | .0405292 .0929324 0.44 0.663 -.1416149 .2226734 1984 | .0441633 .0817335 0.54 0.589 -.1160314 .204358 1986 | -.0415217 .0815181 -0.51 0.611 -.2012943 .1182508 1987 | .1375129 .0796651 1.73 0.084 -.0186279 .2936537 1988 | .0305977 .0877979 0.35 0.727 -.141483 .2026784 1989 | .0248623 .0869593 0.29 0.775 -.1455747 .1952994 1990 | -.180464 .0898525 -2.01 0.045 -.3565716 -.0043565 1991 | -.0800623 .0868474 -0.92 0.357 -.25028 .0901554 1993 | .0165562 .0863639 0.19 0.848 -.152714 .1858263 1994 | .2774316 .0773494 3.59 0.000 .1258295 .4290337 1996 | .0783632 .0781786 1.00 0.316 -.074864 .2315904 1998 | .2846377 .0785183 3.63 0.000 .1307448 .4385307 2000 | .1979966 .0788068 2.51 0.012 .0435381 .3524552 2002 | .05099 .0896068 0.57 0.569 -.1246361 .226616 2004 | .0310628 .0907789 0.34 0.732 -.1468605 .2089861 2006 | .0266512 .0785621 0.34 0.734 -.1273277 .1806302 2008 | -.0729282 .0834656 -0.87 0.382 -.2365177 .0906612 2010 | .3379855 .0829424 4.07 0.000 .1754215 .5005496 2012 | .0107444 .0840273 0.13 0.898 -.1539461 .1754348 -------------+---------------------------------------------------------------- /cut1 | .1812606 .1053228 -.0251683 .3876895 /cut2 | .7864815 .1054319 .5798388 .9931242 /cut3 | 1.583791 .1057792 1.376468 1.791114 /cut4 | 2.482036 .1063169 2.273659 2.690413 /cut5 | 3.197474 .1068612 2.98803 3.406918 /cut6 | 3.785917 .1074967 3.575227 3.996606 ------------------------------------------------------------------------------ . reg eqwlth wordgod i.sex age i.race i.degree i.polviews i.year Source | SS df MS Number of obs = 26630 -------------+------------------------------ F( 35, 26594) = 101.11 Model | 12020.1894 35 343.433983 Prob > F = 0.0000 Residual | 90333.7356 26594 3.39677129 R-squared = 0.1174 -------------+------------------------------ Adj R-squared = 0.1163 Total | 102353.925 26629 3.84370142 Root MSE = 1.843 ------------------------------------------------------------------------------ eqwlth | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | -.1836225 .0302742 -6.07 0.000 -.2429616 -.1242835 2.sex | -.2796879 .0229523 -12.19 0.000 -.3246757 -.2347001 age | .0054079 .000685 7.89 0.000 .0040652 .0067506 | race | 2 | -.7037481 .0345554 -20.37 0.000 -.7714785 -.6360177 3 | -.3975987 .0518533 -7.67 0.000 -.4992339 -.2959635 | degree | 1 | .5058683 .0318773 15.87 0.000 .4433872 .5683495 2 | .6402494 .0538748 11.88 0.000 .5346519 .7458468 3 | .9802979 .0408011 24.03 0.000 .9003256 1.06027 4 | .789258 .0506307 15.59 0.000 .6900192 .8884968 | polviews | 2 | .4844341 .0755376 6.41 0.000 .3363764 .6324918 3 | .7826969 .0746326 10.49 0.000 .6364131 .9289807 4 | .9396445 .0700892 13.41 0.000 .802266 1.077023 5 | 1.396786 .0731691 19.09 0.000 1.253371 1.540201 6 | 1.709925 .0738601 23.15 0.000 1.565155 1.854695 7 | 1.916413 .0928231 20.65 0.000 1.734475 2.098351 | year | 1980 | .2802335 .0848022 3.30 0.001 .1140167 .4464503 1983 | .0700645 .0961077 0.73 0.466 -.1183117 .2584408 1984 | .0556643 .0851555 0.65 0.513 -.1112451 .2225736 1986 | -.0255709 .0848492 -0.30 0.763 -.1918799 .140738 1987 | .166841 .0829516 2.01 0.044 .0042513 .3294306 1988 | .0418686 .0919772 0.46 0.649 -.1384116 .2221488 1989 | .0147696 .0912567 0.16 0.871 -.1640984 .1936377 1990 | -.1687347 .0939709 -1.80 0.073 -.3529226 .0154532 1991 | -.0811866 .0913289 -0.89 0.374 -.2601961 .0978229 1993 | .0190323 .0904786 0.21 0.833 -.1583105 .1963751 1994 | .3069101 .081008 3.79 0.000 .1481301 .4656901 1996 | .0861082 .0818756 1.05 0.293 -.0743724 .2465889 1998 | .3202964 .082014 3.91 0.000 .1595445 .4810482 2000 | .2104262 .0824909 2.55 0.011 .0487397 .3721127 2002 | .0645312 .093637 0.69 0.491 -.1190023 .2480648 2004 | .0610204 .0944993 0.65 0.518 -.1242033 .246244 2006 | .0390652 .0819696 0.48 0.634 -.1215995 .1997299 2008 | -.0513447 .086837 -0.59 0.554 -.2215498 .1188604 2010 | .3366487 .0864995 3.89 0.000 .1671051 .5061923 2012 | .0248884 .0872193 0.29 0.775 -.146066 .1958429 | _cons | 2.108709 .1047856 20.12 0.000 1.903324 2.314094 ------------------------------------------------------------------------------ . reg trustsci wordgod i.sex age i.race i.degree i.polviews i.year Source | SS df MS Number of obs = 2430 -------------+------------------------------ F( 16, 2413) = 43.79 Model | 728.464813 16 45.5290508 Prob > F = 0.0000 Residual | 2508.97593 2413 1.03977452 R-squared = 0.2250 -------------+------------------------------ Adj R-squared = 0.2199 Total | 3237.44074 2429 1.33282863 Root MSE = 1.0197 ------------------------------------------------------------------------------ trustsci | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- wordgod | -.7689526 .047829 -16.08 0.000 -.8627427 -.6751626 2.sex | -.1720518 .041817 -4.11 0.000 -.2540529 -.0900508 age | -.0029822 .0012692 -2.35 0.019 -.005471 -.0004934 | race | 2 | -.4385691 .0637275 -6.88 0.000 -.5635354 -.3136028 3 | -.1111217 .0802019 -1.39 0.166 -.2683933 .0461499 | degree | 1 | .2162431 .0647255 3.34 0.001 .0893199 .3431664 2 | .3769129 .0930793 4.05 0.000 .1943892 .5594365 3 | .4306809 .0773783 5.57 0.000 .278946 .5824157 4 | .6983785 .0918794 7.60 0.000 .5182077 .8785493 | polviews | 2 | .0231068 .1307849 0.18 0.860 -.2333556 .2795692 3 | -.1581201 .1304281 -1.21 0.226 -.4138827 .0976425 4 | -.2922691 .1219284 -2.40 0.017 -.5313642 -.053174 5 | -.3087239 .1285781 -2.40 0.016 -.5608588 -.056589 6 | -.5492974 .1279168 -4.29 0.000 -.8001355 -.2984592 7 | -.5877895 .1668039 -3.52 0.000 -.9148833 -.2606958 | year | 2008 | .0420494 .0417694 1.01 0.314 -.0398582 .123957 | _cons | 3.678193 .1476738 24.91 0.000 3.388612 3.967773 ------------------------------------------------------------------------------ .