-------------------------------------------------------------------------------------------------------------------------------------------- name: log: G:\BT messageR compliance.log log type: text opened on: 23 Dec 2022, 00:07:12 . do "C:\Users\ljzig\AppData\Local\Temp\STD6824_000000.tmp" . codebook treat -------------------------------------------------------------------------------------------------------------------------------------------- treat Treatment -------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: treatment range: [0,3] units: 1 unique values: 4 missing .: 0/849 tabulation: Freq. Numeric Label 204 0 Control 206 1 Nationalist 229 2 Feminist 210 3 LGBT . . * messageR outcome [agreed to write a message] . . reg messageR i.treat##gender if gender!=3, robust Linear regression Number of obs = 844 F(7, 836) = 0.51 Prob > F = 0.8248 R-squared = 0.0042 Root MSE = .49154 -------------------------------------------------------------------------------- | Robust messageR | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- treat | Nationalist | .0299426 .0685039 0.44 0.662 -.1045173 .1644025 Feminist | -.0251716 .068356 -0.37 0.713 -.1593411 .1089979 LGBT | -.0471014 .0694892 -0.68 0.498 -.1834953 .0892924 | 2.gender | -.0590062 .0690233 -0.85 0.393 -.1944855 .0764731 | treat#gender | Nationalist#2 | -.0197385 .0969901 -0.20 0.839 -.2101112 .1706343 Feminist#2 | .0102648 .0951143 0.11 0.914 -.176426 .1969556 LGBT#2 | .0817335 .0973189 0.84 0.401 -.1092846 .2727516 | _cons | .6304348 .0505638 12.47 0.000 .5311878 .7296817 -------------------------------------------------------------------------------- . . reg messageR i.treat if gender==1 // Men Source | SS df MS Number of obs = 420 -------------+---------------------------------- F(3, 416) = 0.50 Model | .352409428 3 .117469809 Prob > F = 0.6858 Residual | 98.6952096 416 .2372481 R-squared = 0.0036 -------------+---------------------------------- Adj R-squared = -0.0036 Total | 99.047619 419 .236390499 Root MSE = .48708 ------------------------------------------------------------------------------ messageR | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | .0299426 .0694044 0.43 0.666 -.1064845 .1663697 Feminist | -.0251716 .0682635 -0.37 0.713 -.159356 .1090128 LGBT | -.0471014 .0691052 -0.68 0.496 -.1829403 .0887374 | _cons | .6304348 .0507817 12.41 0.000 .530614 .7302556 ------------------------------------------------------------------------------ . estimates store MEN . reg messageR i.treat if gender==2 // Women Source | SS df MS Number of obs = 424 -------------+---------------------------------- F(3, 420) = 0.19 Model | .137121237 3 .045707079 Prob > F = 0.9060 Residual | 103.294483 420 .245939244 R-squared = 0.0013 -------------+---------------------------------- Adj R-squared = -0.0058 Total | 103.431604 423 .244519158 Root MSE = .49592 ------------------------------------------------------------------------------ messageR | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | .0102041 .0685964 0.15 0.882 -.124631 .1450392 Feminist | -.0149068 .0658368 -0.23 0.821 -.1443176 .1145039 LGBT | .034632 .0684114 0.51 0.613 -.0998394 .1691034 | _cons | .5714286 .0468603 12.19 0.000 .4793187 .6635385 ------------------------------------------------------------------------------ . estimates store WOMEN . suest MEN WOMEN, robust coefl Simultaneous results for MEN, WOMEN Number of obs = 844 ------------------------------------------------------------------------------ | Coef. Legend -------------+---------------------------------------------------------------- MEN_mean | treat | Nationalist | .0299426 _b[MEN_mean:1.treat] Feminist | -.0251716 _b[MEN_mean:2.treat] LGBT | -.0471014 _b[MEN_mean:3.treat] | _cons | .6304348 _b[MEN_mean:_cons] -------------+---------------------------------------------------------------- MEN_lnvar | _cons | -1.438649 _b[MEN_lnvar:_cons] -------------+---------------------------------------------------------------- WOMEN_mean | treat | Nationalist | .0102041 _b[WOMEN_mean:1.treat] Feminist | -.0149068 _b[WOMEN_mean:2.treat] LGBT | .034632 _b[WOMEN_mean:3.treat] | _cons | .5714286 _b[WOMEN_mean:_cons] -------------+---------------------------------------------------------------- WOMEN_lnvar | _cons | -1.402671 _b[WOMEN_lnvar:_cons] ------------------------------------------------------------------------------ . . lincom _b[MEN_mean:1.treat] - _b[WOMEN_mean:1.treat] // Nationalist ( 1) [MEN_mean]1.treat - [WOMEN_mean]1.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | .0197385 .0965866 0.20 0.838 -.1695677 .2090447 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:2.treat] - _b[WOMEN_mean:2.treat] // Feminist ( 1) [MEN_mean]2.treat - [WOMEN_mean]2.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | -.0102648 .0947185 -0.11 0.914 -.1959097 .1753801 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:3.treat] - _b[WOMEN_mean:3.treat] // LGBT ( 1) [MEN_mean]3.treat - [WOMEN_mean]3.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | -.0817335 .096914 -0.84 0.399 -.2716814 .1082145 ------------------------------------------------------------------------------ . . * compliance outcome [wrote a related non-giggerish message] . . reg compliance i.treat##gender if gender!=3, robust Linear regression Number of obs = 839 F(7, 831) = 0.19 Prob > F = 0.9867 R-squared = 0.0016 Root MSE = .50106 -------------------------------------------------------------------------------- | Robust compliance | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- treat | Nationalist | .0239951 .0712921 0.34 0.737 -.1159386 .1639288 Feminist | .0120342 .0704808 0.17 0.864 -.1263072 .1503756 LGBT | -.0140902 .0711743 -0.20 0.843 -.1537926 .1256123 | 2.gender | -.0010772 .0706879 -0.02 0.988 -.1398249 .1376706 | treat#gender | Nationalist#2 | -.0555266 .0996144 -0.56 0.577 -.251052 .1399988 Feminist#2 | -.0391409 .0972931 -0.40 0.688 -.2301101 .1518283 LGBT#2 | .0381142 .0992409 0.38 0.701 -.1566781 .2329065 | _cons | .5326087 .0522674 10.19 0.000 .430017 .6352004 -------------------------------------------------------------------------------- . . reg compliance i.treat if gender==1 // Men Source | SS df MS Number of obs = 418 -------------+---------------------------------- F(3, 414) = 0.11 Model | .08525986 3 .028419953 Prob > F = 0.9523 Residual | 103.8023 414 .250730193 R-squared = 0.0008 -------------+---------------------------------- Adj R-squared = -0.0064 Total | 103.88756 417 .249130839 Root MSE = .50073 ------------------------------------------------------------------------------ compliance | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | .0239951 .0713492 0.34 0.737 -.1162568 .1642469 Feminist | .0120342 .0704556 0.17 0.864 -.1264611 .1505295 LGBT | -.0140902 .0710416 -0.20 0.843 -.1537373 .125557 | _cons | .5326087 .0522047 10.20 0.000 .4299894 .635228 ------------------------------------------------------------------------------ . estimates store MEN . reg compliance i.treat if gender==2 // Women Source | SS df MS Number of obs = 421 -------------+---------------------------------- F(3, 417) = 0.27 Model | .203757759 3 .067919253 Prob > F = 0.8469 Residual | 104.831872 417 .251395376 R-squared = 0.0019 -------------+---------------------------------- Adj R-squared = -0.0052 Total | 105.035629 420 .250084832 Root MSE = .50139 ------------------------------------------------------------------------------ compliance | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | -.0315315 .0694988 -0.45 0.650 -.1681432 .1050801 Feminist | -.0271068 .0670042 -0.40 0.686 -.1588148 .1046013 LGBT | .024024 .0693121 0.35 0.729 -.1122207 .1602687 | _cons | .5315315 .0475902 11.17 0.000 .437985 .625078 ------------------------------------------------------------------------------ . estimates store WOMEN . suest MEN WOMEN, robust coefl Simultaneous results for MEN, WOMEN Number of obs = 839 ------------------------------------------------------------------------------ | Coef. Legend -------------+---------------------------------------------------------------- MEN_mean | treat | Nationalist | .0239951 _b[MEN_mean:1.treat] Feminist | .0120342 _b[MEN_mean:2.treat] LGBT | -.0140902 _b[MEN_mean:3.treat] | _cons | .5326087 _b[MEN_mean:_cons] -------------+---------------------------------------------------------------- MEN_lnvar | _cons | -1.383378 _b[MEN_lnvar:_cons] -------------+---------------------------------------------------------------- WOMEN_mean | treat | Nationalist | -.0315315 _b[WOMEN_mean:1.treat] Feminist | -.0271068 _b[WOMEN_mean:2.treat] LGBT | .024024 _b[WOMEN_mean:3.treat] | _cons | .5315315 _b[WOMEN_mean:_cons] -------------+---------------------------------------------------------------- WOMEN_lnvar | _cons | -1.380728 _b[WOMEN_lnvar:_cons] ------------------------------------------------------------------------------ . . lincom _b[MEN_mean:1.treat] - _b[WOMEN_mean:1.treat] // Nationalist ( 1) [MEN_mean]1.treat - [WOMEN_mean]1.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | .0555266 .0991975 0.56 0.576 -.1388969 .2499501 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:2.treat] - _b[WOMEN_mean:2.treat] // Feminist ( 1) [MEN_mean]2.treat - [WOMEN_mean]2.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | .0391409 .0968859 0.40 0.686 -.150752 .2290338 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:3.treat] - _b[WOMEN_mean:3.treat] // LGBT ( 1) [MEN_mean]3.treat - [WOMEN_mean]3.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | -.0381142 .0988255 -0.39 0.700 -.2318087 .1555803 ------------------------------------------------------------------------------ . end of do-file . log close name: log: G:\BT messageR compliance.log log type: text closed on: 23 Dec 2022, 00:07:29 --------------------------------------------------------------------------------------------------------------------------------------------