------------------------------------------------------------------------------------------------------------------------------------------------------ name: log: C:\Users\ljzig\Desktop\Zigerell analysis of Stephens-Dougan 1282 TESS - STATA OUTPUT.log log type: text opened on: 22 May 2022, 22:00:59 . use "C:\Users\ljzig\Desktop\8041.063_TESS 063_Stephens-Dougan_TESS.dta" . do "C:\Users\ljzig\AppData\Local\Temp\STD8a78_000000.tmp" . * Data are from the TESS project: "Backlash Effect? White Americans' Response to the Coronavirus Pandemic" . * PI for the TESS project: LaFleur Stephens-Dougan . * Data available here: https://osf.io/vsfec/. I'm using the "8041.063_TESS 063_Stephens-Dougan_TESS.dta" file. . * Code below by L.J Zigerell . . * Treatment . . codebook P_EXP ------------------------------------------------------------------------------------------------------------------------------------------------------ P_EXP DATA-ONLY VARIABLE: Experimental group assigned ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: P_EXP range: [1,2] units: 1 unique values: 2 missing .: 0/591 tabulation: Freq. Numeric Label 288 1 Experimental group A 303 2 Experimental group B . recode P_EXP (1=0) (2=1), gen(Treatment) (591 differences between P_EXP and Treatment) . tab P_EXP Treatment, nol mi DATA-ONLY | RECODE of P_EXP VARIABLE: | (DATA-ONLY VARIABLE: Experiment | Experimental group al group | assigned) assigned | 0 1 | Total -----------+----------------------+---------- 1 | 288 0 | 288 2 | 0 303 | 303 -----------+----------------------+---------- Total | 288 303 | 591 . . * Outcomes mentioned in the Stephens-Dougan pre-analysis plan [https://osf.io/8bsn4] . . codebook Q15 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q15 The United States should take measures aimed at slowing the spread of the corona ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q15 range: [1,98] units: 1 unique values: 6 missing .: 0/591 tabulation: Freq. Numeric Label 99 1 Strongly Agree 178 2 Agree 116 3 Neither Agree Nor Disagree 132 4 Disagree 63 5 Strongly Disagree 3 98 SKIPPED ON WEB . clonevar slow = Q15 . recode slow (98=.) (slow: 3 changes made) . tab Q15 slow, mi The United States | should take measures | The United States should take measures aimed at slowing the aimed at slowing the | spread of the corona spread of the corona | Strongly Agree Neither A Disagree Strongly . | Total ----------------------+------------------------------------------------------------------+---------- Strongly Agree | 99 0 0 0 0 0 | 99 Agree | 0 178 0 0 0 0 | 178 Neither Agree Nor Dis | 0 0 116 0 0 0 | 116 Disagree | 0 0 0 132 0 0 | 132 Strongly Disagree | 0 0 0 0 63 0 | 63 SKIPPED ON WEB | 0 0 0 0 0 3 | 3 ----------------------+------------------------------------------------------------------+---------- Total | 99 178 116 132 63 3 | 591 . . recode Q15 (4/5=1) (1/3 98=0), gen(slowDIS) (591 differences between Q15 and slowDIS) . tab Q15 slowDIS, mi | RECODE of Q15 (The The United States | United States should should take measures | take measures aimed aimed at slowing the | at slowing the sprea spread of the corona | 0 1 | Total ----------------------+----------------------+---------- Strongly Agree | 99 0 | 99 Agree | 178 0 | 178 Neither Agree Nor Dis | 116 0 | 116 Disagree | 0 132 | 132 Strongly Disagree | 0 63 | 63 SKIPPED ON WEB | 3 0 | 3 ----------------------+----------------------+---------- Total | 396 195 | 591 . . codebook Q18 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q18 How important is it that people stay home rather than participating in protests ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q18 range: [1,98] units: 1 unique values: 6 missing .: 0/591 tabulation: Freq. Numeric Label 178 1 Extremely Important 153 2 Very Important 133 3 Somewhat Important 69 4 Not Very Important 57 5 Not At All Important 1 98 SKIPPED ON WEB . clonevar home = Q18 . recode home (98=.) (home: 1 changes made) . tab Q18 home, mi How important is it | that people stay | home rather than | How important is it that people stay home rather than participating in | participating in protests protests | Extremely Very Impo Somewhat Not Very Not At Al . | Total ---------------------+------------------------------------------------------------------+---------- Extremely Important | 178 0 0 0 0 0 | 178 Very Important | 0 153 0 0 0 0 | 153 Somewhat Important | 0 0 133 0 0 0 | 133 Not Very Important | 0 0 0 69 0 0 | 69 Not At All Important | 0 0 0 0 57 0 | 57 SKIPPED ON WEB | 0 0 0 0 0 1 | 1 ---------------------+------------------------------------------------------------------+---------- Total | 178 153 133 69 57 1 | 591 . . recode Q18 (1/3 98=0) (4/5=1), gen(homeNOT) (591 differences between Q18 and homeNOT) . tab Q18 homeNOT, mi | RECODE of Q18 (How How important is it | important is it that that people stay | people stay home home rather than | rather than participating in | participati protests | 0 1 | Total ---------------------+----------------------+---------- Extremely Important | 178 0 | 178 Very Important | 153 0 | 153 Somewhat Important | 133 0 | 133 Not Very Important | 0 69 | 69 Not At All Important | 0 57 | 57 SKIPPED ON WEB | 1 0 | 1 ---------------------+----------------------+---------- Total | 465 126 | 591 . . codebook Q16 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q16 State and local directives that ask people to 'shelter in place' or to be 'safer ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q16 range: [1,98] units: 1 unique values: 6 missing .: 0/591 tabulation: Freq. Numeric Label 69 1 Strongly Agree 92 2 Agree 101 3 Neither Agree Nor Disagree 177 4 Disagree 148 5 Strongly Disagree 4 98 SKIPPED ON WEB . clonevar rights = Q16 . recode rights (98=.) (rights: 4 changes made) . tab Q16 rights, mi State and local | directives that ask | people to 'shelter in | State and local directives that ask people to 'shelter in place' place' or to be | or to be 'safer 'safer | Strongly Agree Neither A Disagree Strongly . | Total ----------------------+------------------------------------------------------------------+---------- Strongly Agree | 69 0 0 0 0 0 | 69 Agree | 0 92 0 0 0 0 | 92 Neither Agree Nor Dis | 0 0 101 0 0 0 | 101 Disagree | 0 0 0 177 0 0 | 177 Strongly Disagree | 0 0 0 0 148 0 | 148 SKIPPED ON WEB | 0 0 0 0 0 4 | 4 ----------------------+------------------------------------------------------------------+---------- Total | 69 92 101 177 148 4 | 591 . . recode Q16 (1/2=1) (3/98=0), gen(rightsAG) (522 differences between Q16 and rightsAG) . tab Q16 rightsAG, mi State and local | RECODE of Q16 (State directives that ask | and local directives people to 'shelter in | that ask people to place' or to be | 'shelter in place' 'safer | 0 1 | Total ----------------------+----------------------+---------- Strongly Agree | 0 69 | 69 Agree | 0 92 | 92 Neither Agree Nor Dis | 101 0 | 101 Disagree | 177 0 | 177 Strongly Disagree | 148 0 | 148 SKIPPED ON WEB | 4 0 | 4 ----------------------+----------------------+---------- Total | 430 161 | 591 . . codebook Q21 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q21 Which worries you more about responding to the coronavirus and restrictions that ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q21 range: [1,98] units: 1 unique values: 3 missing .: 0/591 tabulation: Freq. Numeric Label 321 1 That the United States will move too quickly in loosening restrictions and the v 267 2 That the United States will take too long in loosening restrictions and the econ 3 98 SKIPPED ON WEB . clonevar loosen = Q21 . recode loosen (98=.) (loosen: 3 changes made) . tab Q21 loosen, mi Which worries you | Which worries you more about more about responding | responding to the coronavirus to the coronavirus | and restrictions that and restrictions that | That the That the . | Total ----------------------+---------------------------------+---------- That the United State | 321 0 0 | 321 That the United State | 0 267 0 | 267 SKIPPED ON WEB | 0 0 3 | 3 ----------------------+---------------------------------+---------- Total | 321 267 3 | 591 . . * Racial resentment . . codebook Q1 Q2 Q3 Q4 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q1 Irish, Italians, Jewish and many other minorities overcame prejudice and worked ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q1 range: [1,5] units: 1 unique values: 5 missing .: 0/591 tabulation: Freq. Numeric Label 91 1 Strongly Agree 167 2 Agree 147 3 Neither Agree Nor Disagree 109 4 Disagree 77 5 Strongly Disagree ------------------------------------------------------------------------------------------------------------------------------------------------------ Q2 Generations of slavery and discrimination have created conditions that make it d ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q2 range: [1,98] units: 1 unique values: 6 missing .: 0/591 tabulation: Freq. Numeric Label 88 1 Strongly Agree 189 2 Agree 96 3 Neither Agree Nor Disagree 152 4 Disagree 63 5 Strongly Disagree 3 98 SKIPPED ON WEB ------------------------------------------------------------------------------------------------------------------------------------------------------ Q3 Over the past few years, Blacks/African Americans have gotten less than they des ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q3 range: [1,98] units: 1 unique values: 6 missing .: 0/591 tabulation: Freq. Numeric Label 68 1 Strongly Agree 135 2 Agree 147 3 Neither Agree Nor Disagree 166 4 Disagree 74 5 Strongly Disagree 1 98 SKIPPED ON WEB ------------------------------------------------------------------------------------------------------------------------------------------------------ Q4 It's really a matter of some people not trying hard enough; if Blacks/African Am ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q4 range: [1,5] units: 1 unique values: 5 missing .: 0/591 tabulation: Freq. Numeric Label 45 1 Strongly Agree 117 2 Agree 169 3 Neither Agree Nor Disagree 157 4 Disagree 103 5 Strongly Disagree . recode Q1 Q2 Q3 Q4 (98=.) (Q1: 0 changes made) (Q2: 3 changes made) (Q3: 1 changes made) (Q4: 0 changes made) . gen RR = -Q1 + Q2 + Q3 - Q4 (4 missing values generated) . tab RR RR | Freq. Percent Cum. ------------+----------------------------------- -8 | 40 6.81 6.81 -7 | 14 2.39 9.20 -6 | 25 4.26 13.46 -5 | 26 4.43 17.89 -4 | 41 6.98 24.87 -3 | 40 6.81 31.69 -2 | 37 6.30 37.99 -1 | 34 5.79 43.78 0 | 58 9.88 53.66 1 | 45 7.67 61.33 2 | 55 9.37 70.70 3 | 52 8.86 79.56 4 | 47 8.01 87.56 5 | 17 2.90 90.46 6 | 21 3.58 94.04 7 | 15 2.56 96.59 8 | 20 3.41 100.00 ------------+----------------------------------- Total | 587 100.00 . . factor Q1 Q2 Q3 Q4, pcf (obs=587) Factor analysis/correlation Number of obs = 587 Method: principal-component factors Retained factors = 1 Rotation: (unrotated) Number of params = 4 -------------------------------------------------------------------------- Factor | Eigenvalue Difference Proportion Cumulative -------------+------------------------------------------------------------ Factor1 | 3.00401 2.51218 0.7510 0.7510 Factor2 | 0.49183 0.22829 0.1230 0.8740 Factor3 | 0.26354 0.02293 0.0659 0.9398 Factor4 | 0.24062 . 0.0602 1.0000 -------------------------------------------------------------------------- LR test: independent vs. saturated: chi2(6) = 1384.74 Prob>chi2 = 0.0000 Factor loadings (pattern matrix) and unique variances --------------------------------------- Variable | Factor1 | Uniqueness -------------+----------+-------------- Q1 | 0.8776 | 0.2299 Q2 | -0.8469 | 0.2827 Q3 | -0.8768 | 0.2312 Q4 | 0.8648 | 0.2522 --------------------------------------- . predict RRfactor (regression scoring assumed) Scoring coefficients (method = regression) ------------------------ Variable | Factor1 -------------+---------- Q1 | 0.29213 Q2 | -0.28193 Q3 | -0.29189 Q4 | 0.28787 ------------------------ . pwcorr RR RRfactor | RR RRfactor -------------+------------------ RR | 1.0000 RRfactor | -0.9999 1.0000 . . xtile RR3 = RR, nq(3) . tab RR3 3 quantiles | of RR | Freq. Percent Cum. ------------+----------------------------------- 1 | 223 37.99 37.99 2 | 192 32.71 70.70 3 | 172 29.30 100.00 ------------+----------------------------------- Total | 587 100.00 . xtile RR2 = RR, nq(2) . tab RR2 2 quantiles | of RR | Freq. Percent Cum. ------------+----------------------------------- 1 | 315 53.66 53.66 2 | 272 46.34 100.00 ------------+----------------------------------- Total | 587 100.00 . . * Negative stereotypes about Blacks . . codebook Q5 Q6 Q7 Q8 ------------------------------------------------------------------------------------------------------------------------------------------------------ Q5 Please use the scale below to show how you would describe Blacks/African America ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q5, but 5 nonmissing values are not labeled range: [1,98] units: 1 unique values: 8 missing .: 0/591 tabulation: Freq. Numeric Label 10 1 1 - LAZY 11 2 73 3 271 4 134 5 54 6 34 7 7 - HARDWORKING 4 98 SKIPPED ON WEB ------------------------------------------------------------------------------------------------------------------------------------------------------ Q6 Please use the scale below to show how you would describe Whites as a group? ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q6, but 5 nonmissing values are not labeled range: [1,98] units: 1 unique values: 8 missing .: 0/591 tabulation: Freq. Numeric Label 4 1 1 - LAZY 9 2 41 3 278 4 172 5 61 6 24 7 7 - HARDWORKING 2 98 SKIPPED ON WEB ------------------------------------------------------------------------------------------------------------------------------------------------------ Q7 Please use the scale below to show how you would describe Blacks/African America ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q7, but 5 nonmissing values are not labeled range: [1,7] units: 1 unique values: 7 missing .: 0/591 tabulation: Freq. Numeric Label 4 1 1 - UNINTELLIGENT 6 2 39 3 290 4 146 5 65 6 41 7 7 - INTELLIGENT ------------------------------------------------------------------------------------------------------------------------------------------------------ Q8 Please use the scale below to show how you would describe Whites as a group? ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q8, but 5 nonmissing values are not labeled range: [1,98] units: 1 unique values: 8 missing .: 0/591 tabulation: Freq. Numeric Label 2 1 1 - UNINTELLIGENT 2 2 26 3 278 4 172 5 69 6 41 7 7 - INTELLIGENT 1 98 SKIPPED ON WEB . recode Q5 Q6 Q7 Q8 (98=.) (Q5: 4 changes made) (Q6: 2 changes made) (Q7: 0 changes made) (Q8: 1 changes made) . sum Q5 Q6 Q7 Q8 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- Q5 | 587 4.373083 1.154672 1 7 Q6 | 589 4.500849 1.007835 1 7 Q7 | 591 4.568528 1.075911 1 7 Q8 | 590 4.672881 1.010863 1 7 . gen STintel = Q8 - Q7 (1 missing value generated) . gen STwork = Q6 - Q5 (6 missing values generated) . recode STintel (-7/-1=1) (0=2) (1/7=3), gen(STintel3) (584 differences between STintel and STintel3) . recode STwork (-7/-1=1) (0=2) (1/7=3), gen(STwork3) (570 differences between STwork and STwork3) . tab STintel, mi STintel | Freq. Percent Cum. ------------+----------------------------------- -5 | 1 0.17 0.17 -3 | 6 1.02 1.18 -2 | 12 2.03 3.21 -1 | 32 5.41 8.63 0 | 452 76.48 85.11 1 | 49 8.29 93.40 2 | 29 4.91 98.31 3 | 6 1.02 99.32 4 | 2 0.34 99.66 6 | 1 0.17 99.83 . | 1 0.17 100.00 ------------+----------------------------------- Total | 591 100.00 . tab STwork , mi STwork | Freq. Percent Cum. ------------+----------------------------------- -6 | 1 0.17 0.17 -5 | 2 0.34 0.51 -4 | 3 0.51 1.02 -3 | 12 2.03 3.05 -2 | 21 3.55 6.60 -1 | 57 9.64 16.24 0 | 358 60.58 76.82 1 | 66 11.17 87.99 2 | 41 6.94 94.92 3 | 15 2.54 97.46 4 | 5 0.85 98.31 5 | 1 0.17 98.48 6 | 3 0.51 98.98 . | 6 1.02 100.00 ------------+----------------------------------- Total | 591 100.00 . . tab Q7 Q8 if STintel3==3, mi Please use the | scale below to | show how you | would describe | Please use the scale below to show how you Blacks/African | would describe Whites as a group? America | 4 5 6 7 - INTEL | Total ------------------+--------------------------------------------+---------- 1 - UNINTELLIGENT | 0 1 0 1 | 2 2 | 2 2 1 0 | 5 3 | 12 13 2 0 | 27 4 | 0 29 10 2 | 41 5 | 0 0 3 4 | 7 6 | 0 0 0 5 | 5 ------------------+--------------------------------------------+---------- Total | 14 45 16 12 | 87 . tab Q5 Q6 if STwork3 ==3, mi Please use the | scale below to | show how you | would describe | Please use the scale below to show how you would Blacks/African | describe Whites as a group? America | 3 4 5 6 7 - HARDW | Total ----------------+-------------------------------------------------------+---------- 1 - LAZY | 0 1 3 1 3 | 8 2 | 2 2 6 1 0 | 11 3 | 0 24 27 6 1 | 58 4 | 0 0 30 9 2 | 41 5 | 0 0 0 9 3 | 12 6 | 0 0 0 0 1 | 1 ----------------+-------------------------------------------------------+---------- Total | 2 27 66 26 10 | 131 . . tab Q7 Q8 if STintel3!=3, mi Please use the | scale below to | show how you | would describe | Blacks/African | Please use the scale below to show how you would describe Whites as a group? America | 1 - UNINT 2 3 4 5 6 7 - INTEL . | Total ------------------+----------------------------------------------------------------------------------------+---------- 1 - UNINTELLIGENT | 2 0 0 0 0 0 0 0 | 2 2 | 0 1 0 0 0 0 0 0 | 1 3 | 0 0 11 0 0 0 0 1 | 12 4 | 0 0 8 241 0 0 0 0 | 249 5 | 0 0 5 13 121 0 0 0 | 139 6 | 0 0 2 6 5 47 0 0 | 60 7 - INTELLIGENT | 0 1 0 4 1 6 29 0 | 41 ------------------+----------------------------------------------------------------------------------------+---------- Total | 2 2 26 264 127 53 29 1 | 504 . tab Q5 Q6 if STwork3 !=3, mi Please use the | scale below to | show how you | would describe | Blacks/African | Please use the scale below to show how you would describe Whites as a group? America | 1 - LAZY 2 3 4 5 6 7 - HARDW . | Total ----------------+----------------------------------------------------------------------------------------+---------- 1 - LAZY | 2 0 0 0 0 0 0 0 | 2 3 | 0 2 13 0 0 0 0 0 | 15 4 | 0 3 14 212 0 0 0 1 | 230 5 | 0 3 6 22 90 0 0 1 | 122 6 | 1 0 3 10 12 27 0 0 | 53 7 - HARDWORKING | 1 1 3 6 2 7 14 0 | 34 . | 0 0 0 1 2 1 0 0 | 4 ----------------+----------------------------------------------------------------------------------------+---------- Total | 4 9 39 251 106 35 14 2 | 460 . . * Blacks' poor health choices . . codebook Q9C ------------------------------------------------------------------------------------------------------------------------------------------------------ Q9C [Blacks/African Americans make more unhealthy choices than Whites...] On a scale ------------------------------------------------------------------------------------------------------------------------------------------------------ type: numeric (double) label: Q9C, but 5 nonmissing values are not labeled range: [1,98] units: 1 unique values: 8 missing .: 0/591 tabulation: Freq. Numeric Label 104 1 1 - NOT AT ALL 58 2 84 3 198 4 91 5 36 6 18 7 7 - A GREAT DEAL 2 98 SKIPPED ON WEB . clonevar poorCH = Q9C . recode poorCH (98=.) (poorCH: 2 changes made) . tab Q9C poorCH, mi [Blacks/African | Americans make | more unhealthy | choices than | Whites...] On a | [Blacks/African Americans make more unhealthy choices than Whites...] On a scale scale | 1 - NOT A 2 3 4 5 6 7 - A GRE . | Total -----------------+----------------------------------------------------------------------------------------+---------- 1 - NOT AT ALL | 104 0 0 0 0 0 0 0 | 104 2 | 0 58 0 0 0 0 0 0 | 58 3 | 0 0 84 0 0 0 0 0 | 84 4 | 0 0 0 198 0 0 0 0 | 198 5 | 0 0 0 0 91 0 0 0 | 91 6 | 0 0 0 0 0 36 0 0 | 36 7 - A GREAT DEAL | 0 0 0 0 0 0 18 0 | 18 SKIPPED ON WEB | 0 0 0 0 0 0 0 2 | 2 -----------------+----------------------------------------------------------------------------------------+---------- Total | 104 58 84 198 91 36 18 2 | 591 . . xtile poorCH3 = poorCH, nq(3) . xtile poorCH2 = poorCH, nq(2) . tab poorCH3 3 quantiles | of poorCH | Freq. Percent Cum. ------------+----------------------------------- 1 | 246 41.77 41.77 2 | 198 33.62 75.38 3 | 145 24.62 100.00 ------------+----------------------------------- Total | 589 100.00 . tab poorCH2 2 quantiles | of poorCH | Freq. Percent Cum. ------------+----------------------------------- 1 | 444 75.38 75.38 2 | 145 24.62 100.00 ------------+----------------------------------- Total | 589 100.00 . . tab Q9C poorCH3, mi [Blacks/African | Americans make | more unhealthy | choices than | Whites...] On a | 3 quantiles of poorCH scale | 1 2 3 . | Total -----------------+--------------------------------------------+---------- 1 - NOT AT ALL | 104 0 0 0 | 104 2 | 58 0 0 0 | 58 3 | 84 0 0 0 | 84 4 | 0 198 0 0 | 198 5 | 0 0 91 0 | 91 6 | 0 0 36 0 | 36 7 - A GREAT DEAL | 0 0 18 0 | 18 SKIPPED ON WEB | 0 0 0 2 | 2 -----------------+--------------------------------------------+---------- Total | 246 198 145 2 | 591 . tab Q9C poorCH2, mi // Same "high" group as CH3 [Blacks/African | Americans make | more unhealthy | choices than | Whites...] On a | 2 quantiles of poorCH scale | 1 2 . | Total -----------------+---------------------------------+---------- 1 - NOT AT ALL | 104 0 0 | 104 2 | 58 0 0 | 58 3 | 84 0 0 | 84 4 | 198 0 0 | 198 5 | 0 91 0 | 91 6 | 0 36 0 | 36 7 - A GREAT DEAL | 0 18 0 | 18 SKIPPED ON WEB | 0 0 2 | 2 -----------------+---------------------------------+---------- Total | 444 145 2 | 591 . . * Check codings against party identification . . tab P_PARTYID7 PROFILE VARIABLE: 7-level | Party-ID | Freq. Percent Cum. ----------------------------+----------------------------------- Strong Democrat | 66 11.68 11.68 Moderate Democrat | 73 12.92 24.60 Lean Democrat | 81 14.34 38.94 Don't Lean/Independent/None | 83 14.69 53.63 Lean Republican | 86 15.22 68.85 Moderate Republican | 104 18.41 87.26 Strong Republican | 72 12.74 100.00 ----------------------------+----------------------------------- Total | 565 100.00 . pwcorr P_PARTYID7 RR RR2 RR3 poorCH3 poorCH2 STintel3 STwork3 | P_PART~7 RR RR2 RR3 poorCH3 poorCH2 STintel3 -------------+--------------------------------------------------------------- P_PARTYID7 | 1.0000 RR | 0.5915 1.0000 RR2 | 0.4895 0.8246 1.0000 RR3 | 0.5351 0.9148 0.8194 1.0000 poorCH3 | 0.1186 0.2787 0.1890 0.2401 1.0000 poorCH2 | 0.1126 0.2251 0.1674 0.2106 0.8405 1.0000 STintel3 | 0.1787 0.3336 0.2692 0.2790 0.2405 0.2473 1.0000 STwork3 | 0.2285 0.4572 0.3710 0.3903 0.2951 0.2915 0.5274 | STwork3 -------------+--------- STwork3 | 1.0000 . . * Statistical tests [unweighted] . . reg slow Treatment if RR3==3, robust Linear regression Number of obs = 171 F(1, 169) = 0.66 Prob > F = 0.4163 R-squared = 0.0039 Root MSE = 1.2396 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1551964 .1904692 -0.81 0.416 -.5312017 .2208088 _cons | 3.567568 .1413711 25.24 0.000 3.288487 3.846648 ------------------------------------------------------------------------------ . reg slowDIS Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 1.77 Prob > F = 0.1854 R-squared = 0.0102 Root MSE = .49546 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1008935 .0758737 -1.33 0.185 -.2506694 .0488825 _cons | .6266667 .0561792 11.15 0.000 .5157679 .7375654 ------------------------------------------------------------------------------ . reg home Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 1.88 Prob > F = 0.1723 R-squared = 0.0112 Root MSE = 1.3966 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.2975945 .2170996 -1.37 0.172 -.7261528 .1309638 _cons | 3.266667 .1689357 19.34 0.000 2.933185 3.600148 ------------------------------------------------------------------------------ . reg homeNOT Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 2.81 Prob > F = 0.0957 R-squared = 0.0165 Root MSE = .48773 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1264605 .0754908 -1.68 0.096 -.2754807 .0225597 _cons | .4666667 .0579445 8.05 0.000 .3522833 .58105 ------------------------------------------------------------------------------ . reg rights Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 0.24 Prob > F = 0.6270 R-squared = 0.0014 Root MSE = 1.3598 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .1010309 .2075081 0.49 0.627 -.3085936 .5106554 _cons | 2.6 .1517342 17.14 0.000 2.300474 2.899526 ------------------------------------------------------------------------------ . reg rightsAG Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 0.21 Prob > F = 0.6469 R-squared = 0.0012 Root MSE = .50262 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0354639 .0772807 -0.46 0.647 -.1880172 .1170894 _cons | .52 .0580272 8.96 0.000 .4054534 .6345466 ------------------------------------------------------------------------------ . reg loosen Treatment if RR3==3, robust Linear regression Number of obs = 172 F(1, 170) = 1.27 Prob > F = 0.2605 R-squared = 0.0073 Root MSE = .46961 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0808247 .0715907 -1.13 0.260 -.222146 .0604965 _cons | 1.72 .05215 32.98 0.000 1.617055 1.822945 ------------------------------------------------------------------------------ . . reg slow Treatment if RR2==2, robust Linear regression Number of obs = 270 F(1, 268) = 0.59 Prob > F = 0.4427 R-squared = 0.0022 Root MSE = 1.2061 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1126482 .1465286 -0.77 0.443 -.4011419 .1758455 _cons | 3.424242 .0997954 34.31 0.000 3.22776 3.620725 ------------------------------------------------------------------------------ . reg slowDIS Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 0.37 Prob > F = 0.5423 R-squared = 0.0014 Root MSE = .50138 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0370971 .0608064 -0.61 0.542 -.1568122 .0826179 _cons | .5298507 .0432758 12.24 0.000 .4446499 .6150516 ------------------------------------------------------------------------------ . reg home Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 3.23 Prob > F = 0.0736 R-squared = 0.0118 Root MSE = 1.2905 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.2812027 .1565386 -1.80 0.074 -.5893941 .0269887 _cons | 3.201493 .1119939 28.59 0.000 2.981 3.421985 ------------------------------------------------------------------------------ . reg homeNOT Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 2.46 Prob > F = 0.1182 R-squared = 0.0090 Root MSE = .48275 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0918235 .0585922 -1.57 0.118 -.2071792 .0235322 _cons | .4179104 .0427648 9.77 0.000 .3337155 .5021054 ------------------------------------------------------------------------------ . reg rights Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 0.27 Prob > F = 0.6017 R-squared = 0.0010 Root MSE = 1.2914 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0817651 .1564566 0.52 0.602 -.2262649 .3897951 _cons | 2.679104 .1072971 24.97 0.000 2.467859 2.89035 ------------------------------------------------------------------------------ . reg rightsAG Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 0.51 Prob > F = 0.4767 R-squared = 0.0019 Root MSE = .50051 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.043262 .0607067 -0.71 0.477 -.1627806 .0762567 _cons | .4925373 .0433483 11.36 0.000 .4071937 .5778809 ------------------------------------------------------------------------------ . reg loosen Treatment if RR2==2, robust Linear regression Number of obs = 272 F(1, 270) = 1.54 Prob > F = 0.2154 R-squared = 0.0057 Root MSE = .47224 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0710578 .0572283 -1.24 0.215 -.1837283 .0416128 _cons | 1.701493 .039677 42.88 0.000 1.623377 1.779608 ------------------------------------------------------------------------------ . . reg slow Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 154 F(1, 152) = 0.07 Prob > F = 0.7941 R-squared = 0.0004 Root MSE = 1.2286 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0518293 .1982676 0.26 0.794 -.3398869 .4435454 _cons | 3.073171 .1364474 22.52 0.000 2.803592 3.342749 ------------------------------------------------------------------------------ . reg slowDIS Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 156 F(1, 154) = 0.08 Prob > F = 0.7755 R-squared = 0.0005 Root MSE = .49711 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.022776 .0797289 -0.29 0.776 -.1802794 .1347274 _cons | .4337349 .0547501 7.92 0.000 .3255768 .5418931 ------------------------------------------------------------------------------ . reg home Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 156 F(1, 154) = 0.55 Prob > F = 0.4602 R-squared = 0.0035 Root MSE = 1.2778 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .151015 .2039681 0.74 0.460 -.2519215 .5539515 _cons | 2.60241 .1454532 17.89 0.000 2.315069 2.889751 ------------------------------------------------------------------------------ . reg homeNOT Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 156 F(1, 154) = 0.70 Prob > F = 0.4053 R-squared = 0.0045 Root MSE = .43484 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0579304 .0694237 -0.83 0.405 -.195076 .0792153 _cons | .2771084 .0494452 5.60 0.000 .17943 .3747869 ------------------------------------------------------------------------------ . reg rights Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 154 F(1, 152) = 0.83 Prob > F = 0.3639 R-squared = 0.0055 Root MSE = 1.3464 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1985095 .2179805 -0.91 0.364 -.6291721 .2321532 _cons | 3.170732 .1460735 21.71 0.000 2.882135 3.459328 ------------------------------------------------------------------------------ . reg rightsAG Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 156 F(1, 154) = 0.62 Prob > F = 0.4330 R-squared = 0.0040 Root MSE = .4871 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0615613 .0783165 0.79 0.433 -.0931519 .2162745 _cons | .3493976 .0526721 6.63 0.000 .2453445 .4534507 ------------------------------------------------------------------------------ . reg loosen Treatment if STintel3==3 | STwork3==3, robust Linear regression Number of obs = 156 F(1, 154) = 0.09 Prob > F = 0.7587 R-squared = 0.0006 Root MSE = .49491 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0244265 .0793661 0.31 0.759 -.1323603 .1812132 _cons | 1.578313 .0545556 28.93 0.000 1.470539 1.686087 ------------------------------------------------------------------------------ . . reg slow Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 61 F(1, 59) = 0.00 Prob > F = 0.9775 R-squared = 0.0000 Root MSE = 1.2114 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0087912 .3102908 -0.03 0.977 -.6296817 .6120993 _cons | 2.923077 .2275203 12.85 0.000 2.46781 3.378344 ------------------------------------------------------------------------------ . reg slowDIS Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 62 F(1, 60) = 0.02 Prob > F = 0.8764 R-squared = 0.0004 Root MSE = .47509 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0190476 .1219323 -0.16 0.876 -.2629485 .2248533 _cons | .3333333 .0922215 3.61 0.001 .1488629 .5178038 ------------------------------------------------------------------------------ . reg home Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 62 F(1, 60) = 0.00 Prob > F = 0.9586 R-squared = 0.0000 Root MSE = 1.3365 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0179894 .3448013 -0.05 0.959 -.7076946 .6717158 _cons | 2.703704 .2652326 10.19 0.000 2.173159 3.234248 ------------------------------------------------------------------------------ . reg homeNOT Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 62 F(1, 60) = 0.35 Prob > F = 0.5575 R-squared = 0.0059 Root MSE = .44349 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0677249 .1148288 -0.59 0.558 -.2974166 .1619669 _cons | .2962963 .0893298 3.32 0.002 .1176101 .4749825 ------------------------------------------------------------------------------ . reg rights Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 61 F(1, 59) = 0.42 Prob > F = 0.5203 R-squared = 0.0071 Root MSE = 1.3666 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.2287582 .3536937 -0.65 0.520 -.9364977 .4789813 _cons | 3.111111 .2680627 11.61 0.000 2.574719 3.647503 ------------------------------------------------------------------------------ . reg rightsAG Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 62 F(1, 60) = 0.21 Prob > F = 0.6487 R-squared = 0.0035 Root MSE = .49779 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0582011 .1271028 0.46 0.649 -.1960423 .3124444 _cons | .3703704 .0944711 3.92 0.000 .1814 .5593407 ------------------------------------------------------------------------------ . reg loosen Treatment if STintel3==3 & STwork3==3, robust Linear regression Number of obs = 62 F(1, 60) = 0.46 Prob > F = 0.4987 R-squared = 0.0076 Root MSE = .4997 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0867725 .1274814 -0.68 0.499 -.3417733 .1682283 _cons | 1.62963 .0944711 17.25 0.000 1.440659 1.8186 ------------------------------------------------------------------------------ . . reg slow Treatment if poorCH3==3, robust Linear regression Number of obs = 143 F(1, 141) = 0.13 Prob > F = 0.7215 R-squared = 0.0009 Root MSE = 1.2857 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0772549 .2162987 -0.36 0.722 -.5048625 .3503527 _cons | 2.970588 .1635403 18.16 0.000 2.64728 3.293896 ------------------------------------------------------------------------------ . reg slowDIS Treatment if poorCH3==3, robust Linear regression Number of obs = 145 F(1, 143) = 0.93 Prob > F = 0.3369 R-squared = 0.0065 Root MSE = .48701 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0781846 .0811378 -0.96 0.337 -.2385691 .0821999 _cons | .4202899 .0598372 7.02 0.000 .3020101 .5385696 ------------------------------------------------------------------------------ . reg home Treatment if poorCH3==3, robust Linear regression Number of obs = 145 F(1, 143) = 0.27 Prob > F = 0.6016 R-squared = 0.0019 Root MSE = 1.373 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1205187 .2303013 -0.52 0.602 -.5757535 .3347161 _cons | 2.594203 .1803008 14.39 0.000 2.237804 2.950602 ------------------------------------------------------------------------------ . reg homeNOT Treatment if poorCH3==3, robust Linear regression Number of obs = 145 F(1, 143) = 0.52 Prob > F = 0.4733 R-squared = 0.0036 Root MSE = .44202 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.053013 .0737321 -0.72 0.473 -.1987586 .0927327 _cons | .2898551 .0549991 5.27 0.000 .1811388 .3985713 ------------------------------------------------------------------------------ . reg rights Treatment if poorCH3==3, robust Linear regression Number of obs = 144 F(1, 142) = 2.16 Prob > F = 0.1440 R-squared = 0.0151 Root MSE = 1.3459 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .3310145 .2252877 1.47 0.144 -.1143367 .7763657 _cons | 3.028986 .1689065 17.93 0.000 2.695089 3.362882 ------------------------------------------------------------------------------ . reg rightsAG Treatment if poorCH3==3, robust Linear regression Number of obs = 145 F(1, 143) = 5.59 Prob > F = 0.0195 R-squared = 0.0381 Root MSE = .46715 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1847826 .0781855 -2.36 0.019 -.3393312 -.030234 _cons | .4347826 .0600946 7.23 0.000 .3159941 .5535711 ------------------------------------------------------------------------------ . reg loosen Treatment if poorCH3==3, robust Linear regression Number of obs = 145 F(1, 143) = 0.08 Prob > F = 0.7829 R-squared = 0.0005 Root MSE = .50276 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.023074 .0835927 -0.28 0.783 -.188311 .1421631 _cons | 1.536232 .060453 25.41 0.000 1.416735 1.655729 ------------------------------------------------------------------------------ . . * Statistical tests [weighted] . . reg slow Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 171.035016685) Linear regression Number of obs = 171 F(1, 169) = 0.04 Prob > F = 0.8328 R-squared = 0.0006 Root MSE = 1.2255 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0589843 .2789609 -0.21 0.833 -.6096811 .4917126 _cons | 3.471662 .2329731 14.90 0.000 3.01175 3.931575 ------------------------------------------------------------------------------ . reg slowDIS Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.28 Prob > F = 0.5985 R-squared = 0.0033 Root MSE = .50146 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0578958 .1097341 -0.53 0.598 -.2745128 .1587212 _cons | .5588834 .0859361 6.50 0.000 .389244 .7285228 ------------------------------------------------------------------------------ . reg home Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.21 Prob > F = 0.6464 R-squared = 0.0026 Root MSE = 1.4409 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1469123 .3196874 -0.46 0.646 -.7779806 .484156 _cons | 3.281116 .2531059 12.96 0.000 2.781481 3.780752 ------------------------------------------------------------------------------ . reg homeNOT Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.64 Prob > F = 0.4263 R-squared = 0.0075 Root MSE = .49938 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0876556 .1099253 -0.80 0.426 -.30465 .1293387 _cons | .5102625 .0851953 5.99 0.000 .3420856 .6784395 ------------------------------------------------------------------------------ . reg rights Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.07 Prob > F = 0.7859 R-squared = 0.0008 Root MSE = 1.3741 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.080578 .2961125 -0.27 0.786 -.665109 .5039529 _cons | 2.536549 .2325967 10.91 0.000 2.077399 2.995699 ------------------------------------------------------------------------------ . reg rightsAG Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.04 Prob > F = 0.8341 R-squared = 0.0005 Root MSE = .50022 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0225378 .10743 0.21 0.834 -.1895307 .2346064 _cons | .5375621 .0846053 6.35 0.000 .3705498 .7045745 ------------------------------------------------------------------------------ . reg loosen Treatment if RR3==3 [pw=WEIGHT] (sum of wgt is 172.944788233) Linear regression Number of obs = 172 F(1, 170) = 0.15 Prob > F = 0.7028 R-squared = 0.0016 Root MSE = .46663 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0377051 .0986719 -0.38 0.703 -.2324852 .1570749 _cons | 1.707438 .0780028 21.89 0.000 1.553459 1.861416 ------------------------------------------------------------------------------ . . reg slow Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 277.350734828) Linear regression Number of obs = 270 F(1, 268) = 0.00 Prob > F = 0.9993 R-squared = 0.0000 Root MSE = 1.2038 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0001881 .2071881 0.00 0.999 -.4077353 .4081115 _cons | 3.306667 .1579363 20.94 0.000 2.995713 3.61762 ------------------------------------------------------------------------------ . reg slowDIS Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.16 Prob > F = 0.6873 R-squared = 0.0011 Root MSE = .4994 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0335156 .0831797 0.40 0.687 -.1302476 .1972789 _cons | .4365067 .0609503 7.16 0.000 .3165085 .556505 ------------------------------------------------------------------------------ . reg home Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.28 Prob > F = 0.5988 R-squared = 0.0020 Root MSE = 1.3218 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1192634 .2263982 -0.53 0.599 -.5649937 .326467 _cons | 3.12831 .159468 19.62 0.000 2.814352 3.442269 ------------------------------------------------------------------------------ . reg homeNOT Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.01 Prob > F = 0.9037 R-squared = 0.0001 Root MSE = .49092 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0101989 .0842109 -0.12 0.904 -.1759924 .1555945 _cons | .4015502 .0620552 6.47 0.000 .2793765 .5237239 ------------------------------------------------------------------------------ . reg rights Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.47 Prob > F = 0.4945 R-squared = 0.0033 Root MSE = 1.3032 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.1493544 .2183236 -0.68 0.495 -.5791875 .2804787 _cons | 2.733034 .165572 16.51 0.000 2.407058 3.05901 ------------------------------------------------------------------------------ . reg rightsAG Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.03 Prob > F = 0.8634 R-squared = 0.0002 Root MSE = .50098 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0145247 .0843224 0.17 0.863 -.1514884 .1805378 _cons | .4641447 .0622727 7.45 0.000 .3415429 .5867465 ------------------------------------------------------------------------------ . reg loosen Treatment if RR2==2 [pw=WEIGHT] (sum of wgt is 279.965306558) Linear regression Number of obs = 272 F(1, 270) = 0.04 Prob > F = 0.8478 R-squared = 0.0003 Root MSE = .47813 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0155497 .0809258 0.19 0.848 -.1437761 .1748755 _cons | 1.643746 .0617469 26.62 0.000 1.522179 1.765312 ------------------------------------------------------------------------------ . . reg slow Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 146.694113064) Linear regression Number of obs = 154 F(1, 152) = 2.60 Prob > F = 0.1090 R-squared = 0.0309 Root MSE = 1.2318 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .4379875 .2716471 1.61 0.109 -.098704 .9746789 _cons | 2.691236 .1966656 13.68 0.000 2.302685 3.079787 ------------------------------------------------------------------------------ . reg slowDIS Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 151.088045781) Linear regression Number of obs = 156 F(1, 154) = 0.26 Prob > F = 0.6137 R-squared = 0.0026 Root MSE = .47314 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0482252 .0953341 0.51 0.614 -.1401062 .2365566 _cons | .3087133 .0648225 4.76 0.000 .1806572 .4367694 ------------------------------------------------------------------------------ . reg home Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 151.088045781) Linear regression Number of obs = 156 F(1, 154) = 3.57 Prob > F = 0.0606 R-squared = 0.0434 Root MSE = 1.3015 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .5517014 .2918993 1.89 0.061 -.0249422 1.128345 _cons | 2.299429 .1900969 12.10 0.000 1.923894 2.674963 ------------------------------------------------------------------------------ . reg homeNOT Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 151.088045781) Linear regression Number of obs = 156 F(1, 154) = 1.43 Prob > F = 0.2336 R-squared = 0.0171 Root MSE = .42716 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .1123082 .0939118 1.20 0.234 -.0732135 .29783 _cons | .1888836 .0574236 3.29 0.001 .075444 .3023232 ------------------------------------------------------------------------------ . reg rights Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 150.054050851) Linear regression Number of obs = 154 F(1, 152) = 3.96 Prob > F = 0.0483 R-squared = 0.0449 Root MSE = 1.3857 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.5979115 .3003108 -1.99 0.048 -1.191234 -.0045892 _cons | 3.420936 .2111975 16.20 0.000 3.003675 3.838198 ------------------------------------------------------------------------------ . reg rightsAG Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 151.088045781) Linear regression Number of obs = 156 F(1, 154) = 2.28 Prob > F = 0.1330 R-squared = 0.0244 Root MSE = .47655 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .1500509 .0993349 1.51 0.133 -.0461839 .3462857 _cons | .2873311 .0639579 4.49 0.000 .160983 .4136792 ------------------------------------------------------------------------------ . reg loosen Treatment if STintel3==3 | STwork3==3 [pw=WEIGHT] (sum of wgt is 151.088045781) Linear regression Number of obs = 156 F(1, 154) = 1.66 Prob > F = 0.1989 R-squared = 0.0190 Root MSE = .49698 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .1376735 .1067099 1.29 0.199 -.0731307 .3484777 _cons | 1.473438 .0765738 19.24 0.000 1.322168 1.624709 ------------------------------------------------------------------------------ . . reg slow Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 56.355143547) Linear regression Number of obs = 61 F(1, 59) = 0.01 Prob > F = 0.9253 R-squared = 0.0002 Root MSE = 1.2461 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0390661 .4148153 0.09 0.925 -.7909774 .8691096 _cons | 2.945593 .2892944 10.18 0.000 2.366717 3.52447 ------------------------------------------------------------------------------ . reg slowDIS Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 58.264915095) Linear regression Number of obs = 62 F(1, 60) = 0.01 Prob > F = 0.9122 R-squared = 0.0003 Root MSE = .45939 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0163687 .1478866 0.11 0.912 -.2794485 .3121858 _cons | .2766912 .1065757 2.60 0.012 .0635082 .4898743 ------------------------------------------------------------------------------ . reg home Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 58.264915095) Linear regression Number of obs = 62 F(1, 60) = 0.06 Prob > F = 0.8017 R-squared = 0.0020 Root MSE = 1.4738 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .131115 .5196284 0.25 0.802 -.9082964 1.170527 _cons | 2.684938 .3600792 7.46 0.000 1.964672 3.405204 ------------------------------------------------------------------------------ . reg homeNOT Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 58.264915095) Linear regression Number of obs = 62 F(1, 60) = 0.08 Prob > F = 0.7782 R-squared = 0.0026 Root MSE = .47897 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .049186 .1738208 0.28 0.778 -.2985073 .3968794 _cons | .3058624 .1280899 2.39 0.020 .0496444 .5620804 ------------------------------------------------------------------------------ . reg rights Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 57.392108223) Linear regression Number of obs = 61 F(1, 59) = 3.56 Prob > F = 0.0642 R-squared = 0.0847 Root MSE = 1.3533 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.8193025 .4343802 -1.89 0.064 -1.688495 .0498903 _cons | 3.277839 .3396883 9.65 0.000 2.598125 3.957554 ------------------------------------------------------------------------------ . reg rightsAG Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 58.264915095) Linear regression Number of obs = 62 F(1, 60) = 3.74 Prob > F = 0.0579 R-squared = 0.0878 Root MSE = .48075 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .2975051 .1538648 1.93 0.058 -.0102702 .6052805 _cons | .2576383 .1035753 2.49 0.016 .0504569 .4648198 ------------------------------------------------------------------------------ . reg loosen Treatment if STintel3==3 & STwork3==3 [pw=WEIGHT] (sum of wgt is 58.264915095) Linear regression Number of obs = 62 F(1, 60) = 0.02 Prob > F = 0.8844 R-squared = 0.0005 Root MSE = .4871 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0222465 .1523152 -0.15 0.884 -.3269223 .2824293 _cons | 1.655289 .1067141 15.51 0.000 1.441829 1.868749 ------------------------------------------------------------------------------ . . reg slow Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 134.411161729) Linear regression Number of obs = 143 F(1, 141) = 0.12 Prob > F = 0.7343 R-squared = 0.0016 Root MSE = 1.2784 ------------------------------------------------------------------------------ | Robust slow | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .1031778 .3034262 0.34 0.734 -.496675 .7030307 _cons | 2.923641 .2604771 11.22 0.000 2.408696 3.438587 ------------------------------------------------------------------------------ . reg slowDIS Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 138.805094446) Linear regression Number of obs = 145 F(1, 143) = 0.62 Prob > F = 0.4331 R-squared = 0.0080 Root MSE = .48901 ------------------------------------------------------------------------------ | Robust slowDIS | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.0874499 .1112336 -0.79 0.433 -.3073244 .1324246 _cons | .4347294 .0853074 5.10 0.000 .266103 .6033558 ------------------------------------------------------------------------------ . reg home Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 138.805094446) Linear regression Number of obs = 145 F(1, 143) = 0.41 Prob > F = 0.5210 R-squared = 0.0054 Root MSE = 1.3689 ------------------------------------------------------------------------------ | Robust home | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .2000167 .3108723 0.64 0.521 -.4144821 .8145156 _cons | 2.643089 .2584866 10.23 0.000 2.13214 3.154037 ------------------------------------------------------------------------------ . reg homeNOT Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 138.805094446) Linear regression Number of obs = 145 F(1, 143) = 0.04 Prob > F = 0.8497 R-squared = 0.0005 Root MSE = .47451 ------------------------------------------------------------------------------ | Robust homeNOT | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0216149 .1138576 0.19 0.850 -.2034466 .2466763 _cons | .321952 .0866137 3.72 0.000 .1507434 .4931605 ------------------------------------------------------------------------------ . reg rights Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 137.932287574) Linear regression Number of obs = 144 F(1, 142) = 1.99 Prob > F = 0.1610 R-squared = 0.0268 Root MSE = 1.363 ------------------------------------------------------------------------------ | Robust rights | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .4497175 .3191876 1.41 0.161 -.181256 1.080691 _cons | 2.772847 .2585034 10.73 0.000 2.261835 3.28386 ------------------------------------------------------------------------------ . reg rightsAG Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 138.805094446) Linear regression Number of obs = 145 F(1, 143) = 4.52 Prob > F = 0.0352 R-squared = 0.0581 Root MSE = .47593 ------------------------------------------------------------------------------ | Robust rightsAG | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | -.2348549 .1104658 -2.13 0.035 -.4532117 -.0164981 _cons | .508675 .0873003 5.83 0.000 .3361092 .6812407 ------------------------------------------------------------------------------ . reg loosen Treatment if poorCH3==3 [pw=WEIGHT] (sum of wgt is 138.805094446) Linear regression Number of obs = 145 F(1, 143) = 0.01 Prob > F = 0.9167 R-squared = 0.0001 Root MSE = .48943 ------------------------------------------------------------------------------ | Robust loosen | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- Treatment | .0115404 .1100975 0.10 0.917 -.2060885 .2291694 _cons | 1.611163 .0828296 19.45 0.000 1.447435 1.774892 ------------------------------------------------------------------------------ . . * . . mean rightsAG if Treatment==1 & (STintel3==3 & STwork3==3) [pw=WEIGHT], level(84) Mean estimation Number of obs = 35 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .5551435 .1135667 .3920055 .7182815 -------------------------------------------------------------- . mean rightsAG if Treatment==0 & (STintel3==3 & STwork3==3) [pw=WEIGHT], level(84) Mean estimation Number of obs = 27 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .2576383 .103832 .1074506 .407826 -------------------------------------------------------------- . . mean rightsAG if Treatment==1 & (STintel3==3 & STwork3==3) , level(84) Mean estimation Number of obs = 35 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .4285714 .0848698 .3066564 .5504865 -------------------------------------------------------------- . mean rightsAG if Treatment==0 & (STintel3==3 & STwork3==3) , level(84) Mean estimation Number of obs = 27 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .3703704 .0947052 .233384 .5073567 -------------------------------------------------------------- . . mean rightsAG if Treatment==1 & (STintel3==3 | STwork3==3) [pw=WEIGHT], level(84) Mean estimation Number of obs = 73 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .437382 .0760391 .3294266 .5453374 -------------------------------------------------------------- . mean rightsAG if Treatment==0 & (STintel3==3 | STwork3==3) [pw=WEIGHT], level(84) Mean estimation Number of obs = 83 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .2873311 .0639329 .1966787 .3779835 -------------------------------------------------------------- . . mean rightsAG if Treatment==1 & (STintel3==3 | STwork3==3) , level(84) Mean estimation Number of obs = 73 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .4109589 .0579837 .3286374 .4932804 -------------------------------------------------------------- . mean rightsAG if Treatment==0 & (STintel3==3 | STwork3==3) , level(84) Mean estimation Number of obs = 83 -------------------------------------------------------------- | Mean Std. Err. [84% Conf. Interval] -------------+------------------------------------------------ rightsAG | .3493976 .0526515 .2747414 .4240538 -------------------------------------------------------------- . . * . . gen STscale = 0 . replace STscale = 1 if STintel3==3 | STwork3==3 (156 real changes made) . replace STscale = 2 if STintel3==3 & STwork3==3 (62 real changes made) . prop STscale Proportion estimation Number of obs = 591 -------------------------------------------------------------- | Logit | Proportion Std. Err. [95% Conf. Interval] -------------+------------------------------------------------ STscale | 0 | .7360406 .0181312 .6989294 .7700821 1 | .1590525 .0150439 .1316791 .1908653 2 | .1049069 .012605 .0826031 .1323642 -------------------------------------------------------------- . prop STscale [pw=WEIGHT] Proportion estimation Number of obs = 591 -------------------------------------------------------------- | Logit | Proportion Std. Err. [95% Conf. Interval] -------------+------------------------------------------------ STscale | 0 | .7443519 .0242929 .6938087 .7890881 1 | .1570611 .0205768 .1207329 .2018115 2 | .098587 .0157479 .0716873 .1341222 -------------------------------------------------------------- . end of do-file . log close name: log: C:\Users\ljzig\Desktop\Zigerell analysis of Stephens-Dougan 1282 TESS - STATA OUTPUT.log log type: text closed on: 22 May 2022, 22:01:33 ------------------------------------------------------------------------------------------------------------------------------------------------------