----------------------------------------------------------------------------------------------------------------------------------------------- name: log: C:\Users\ljzig\Desktop\Rhodes et al 2022 VOTER Stata output.log log type: text opened on: 20 Jan 2022, 10:20:53 . do "C:\Users\ljzig\AppData\Local\Temp\STD62f0_000000.tmp" . use "C:\Users\ljzig\Desktop\VOTER-Survey-Panel-Data-Files-2021Dec\VOTER Panel Data Files\voter_panel.dta" . . codebook race_deservemore_2016 race_deservemore_2020Sep accuratecount_country_2016 intendedcount_country_2020Nov race_2016 race_2020Sep ----------------------------------------------------------------------------------------------------------------------------------------------- race_deservemore_2016 Black Americans have gotten less than they deserve ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: race_deservemore_2016 range: [1,98] units: 1 unique values: 6 missing .: 4,483/12,517 tabulation: Freq. Numeric Label 933 1 Strongly Agree 1,864 2 Agree 2,061 3 Disagree 2,323 4 Strongly Disagree 665 8 Don't Know 188 98 Skipped 4,483 . ----------------------------------------------------------------------------------------------------------------------------------------------- race_deservemore_2020Sep Black Americans have gotten less than they deserve ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: Q48a_2020Sep range: [1,5] units: 1 unique values: 5 missing .: 6,617/12,517 tabulation: Freq. Numeric Label 1,339 1 Strongly Agree 1,399 2 Agree 1,126 3 Disagree 1,325 4 Strongly Disagree 711 5 Don't know 6,617 . ----------------------------------------------------------------------------------------------------------------------------------------------- accuratecount_country_2016 Confidence that votes across country were accurately counted ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: accurately_counted2_2016 range: [1,8] units: 1 unique values: 5 missing .: 4,483/12,517 tabulation: Freq. Numeric Label 2,596 1 Very confident 3,237 2 Somewhat confident 1,423 3 Not too confident 742 4 Not at all confident 36 8 Skipped 4,483 . ----------------------------------------------------------------------------------------------------------------------------------------------- intendedcount_country_2020Nov Confidence that votes across country were counted as intended ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: Q27_2020Nov range: [1,8] units: 1 unique values: 5 missing .: 7,574/12,517 tabulation: Freq. Numeric Label 2,290 1 Very confident 922 2 Somewhat confident 563 3 Not too confident 1,167 4 Not at all confident 1 8 skipped 7,574 . ----------------------------------------------------------------------------------------------------------------------------------------------- race_2016 Race/ethnicity ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: race_2016 range: [1,8] units: 1 unique values: 8 missing .: 4,483/12,517 tabulation: Freq. Numeric Label 6,396 1 White 676 2 Black 404 3 Hispanic 123 4 Asian 59 5 Native American 191 6 Mixed 172 7 Other 13 8 Middle Eastern 4,483 . ----------------------------------------------------------------------------------------------------------------------------------------------- race_2020Sep Race/ethnicity ----------------------------------------------------------------------------------------------------------------------------------------------- type: numeric (byte) label: race_2020Sep range: [1,8] units: 1 unique values: 8 missing .: 6,617/12,517 tabulation: Freq. Numeric Label 4,059 1 White 664 2 Black 706 3 Hispanic 191 4 Asian 46 5 Native American 99 6 Two or more races 129 7 Other 6 8 Middle Eastern 6,617 . . desc race_deservemore_2016 race_deservemore_2020Sep accuratecount_country_2016 intendedcount_country_2020Nov race_2016 race_2020Sep storage display value variable name type format label variable label ----------------------------------------------------------------------------------------------------------------------------------------------- race_deser~2016 byte %10.0g race_deservemore_2016 * Black Americans have gotten less than they deserve race_deservem~p byte %10.0g Q48a_2020Sep * Black Americans have gotten less than they deserve accurate~y_2016 byte %10.0g accurately_counted2_2016 * Confidence that votes across country were accurately counted inten~y_2020Nov byte %10.0g Q27_2020Nov * Confidence that votes across country were counted as intended race_2016 byte %10.0g race_2016 * Race/ethnicity race_2020Sep byte %10.0g race_2020Sep * Race/ethnicity . tab1 race_deservemore_2016 race_deservemore_2020Sep accuratecount_country_2016 intendedcount_country_2020Nov race_2016 race_2020Sep -> tabulation of race_deservemore_2016 Black Americans | have gotten less | than they deserve | Freq. Percent Cum. ------------------+----------------------------------- Strongly Agree | 933 11.61 11.61 Agree | 1,864 23.20 34.81 Disagree | 2,061 25.65 60.47 Strongly Disagree | 2,323 28.91 89.38 Don't Know | 665 8.28 97.66 Skipped | 188 2.34 100.00 ------------------+----------------------------------- Total | 8,034 100.00 -> tabulation of race_deservemore_2020Sep Black Americans | have gotten less | than they deserve | Freq. Percent Cum. ------------------+----------------------------------- Strongly Agree | 1,339 22.69 22.69 Agree | 1,399 23.71 46.41 Disagree | 1,126 19.08 65.49 Strongly Disagree | 1,325 22.46 87.95 Don't know | 711 12.05 100.00 ------------------+----------------------------------- Total | 5,900 100.00 -> tabulation of accuratecount_country_2016 Confidence that | votes across country | were accurately | counted | Freq. Percent Cum. ---------------------+----------------------------------- Very confident | 2,596 32.31 32.31 Somewhat confident | 3,237 40.29 72.60 Not too confident | 1,423 17.71 90.32 Not at all confident | 742 9.24 99.55 Skipped | 36 0.45 100.00 ---------------------+----------------------------------- Total | 8,034 100.00 -> tabulation of intendedcount_country_2020Nov Confidence that | votes across country | were counted as | intended | Freq. Percent Cum. ---------------------+----------------------------------- Very confident | 2,290 46.33 46.33 Somewhat confident | 922 18.65 64.98 Not too confident | 563 11.39 76.37 Not at all confident | 1,167 23.61 99.98 skipped | 1 0.02 100.00 ---------------------+----------------------------------- Total | 4,943 100.00 -> tabulation of race_2016 Race/ethnicity | Freq. Percent Cum. ----------------+----------------------------------- White | 6,396 79.61 79.61 Black | 676 8.41 88.03 Hispanic | 404 5.03 93.05 Asian | 123 1.53 94.59 Native American | 59 0.73 95.32 Mixed | 191 2.38 97.70 Other | 172 2.14 99.84 Middle Eastern | 13 0.16 100.00 ----------------+----------------------------------- Total | 8,034 100.00 -> tabulation of race_2020Sep Race/ethnicity | Freq. Percent Cum. ------------------+----------------------------------- White | 4,059 68.80 68.80 Black | 664 11.25 80.05 Hispanic | 706 11.97 92.02 Asian | 191 3.24 95.25 Native American | 46 0.78 96.03 Two or more races | 99 1.68 97.71 Other | 129 2.19 99.90 Middle Eastern | 6 0.10 100.00 ------------------+----------------------------------- Total | 5,900 100.00 . . ** All respondents . . svyset [pw=weight_genpop_2016] pweight: weight_genpop_2016 VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop accuratecount_country_2016 if race_deservemore_2016 =="Strongly Disagree":race_deservemore_2016, level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 2,312 Number of PSUs = 2,312 Population size = 2,227.3907 Design df = 2,311 _prop_1: accuratecount_country_2016 = Very confident _prop_2: accuratecount_country_2016 = Somewhat confident _prop_3: accuratecount_country_2016 = Not too confident _prop_4: accuratecount_country_2016 = Not at all confident ---------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ---------------------------+------------------------------------------------ accuratecount_country_2016 | _prop_1 | .4170119 .0199435 .3896653 .4448787 _prop_2 | .4045925 .0199027 .3773425 .4324437 _prop_3 | .1158088 .0134456 .0984405 .1357801 _prop_4 | .0574975 .0106107 .0444425 .07409 Skipped | .0050893 .0024575 .0026042 .0099221 ---------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2020Nov] pweight: weight_genpop_2020Nov VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop intendedcount_country_2020Nov if race_deservemore_2020Sep=="Strongly Disagree":Q48a_2020Sep , level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 1,140 Number of PSUs = 1,140 Population size = 1,201.0927 Design df = 1,139 _prop_1: intendedcount_country_2020Nov = Very confident _prop_2: intendedcount_country_2020Nov = Somewhat confident _prop_3: intendedcount_country_2020Nov = Not too confident _prop_4: intendedcount_country_2020Nov = Not at all confident ------------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ------------------------------+------------------------------------------------ intendedcount_country_2020Nov | _prop_1 | .0870794 .0092096 .0751321 .1007197 _prop_2 | .1120313 .0115855 .0969503 .1291228 _prop_3 | .1832815 .0133878 .1654483 .2025703 _prop_4 | .6176078 .0167065 .5942004 .6404819 ------------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2016] pweight: weight_genpop_2016 VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop accuratecount_country_2016 if race_deservemore_2016 =="Strongly Agree":race_deservemore_2016 , level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 928 Number of PSUs = 928 Population size = 1,006.6142 Design df = 927 _prop_1: accuratecount_country_2016 = Very confident _prop_2: accuratecount_country_2016 = Somewhat confident _prop_3: accuratecount_country_2016 = Not too confident _prop_4: accuratecount_country_2016 = Not at all confident ---------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ---------------------------+------------------------------------------------ accuratecount_country_2016 | _prop_1 | .1855216 .0228875 .155861 .2193599 _prop_2 | .3935567 .0328215 .3490943 .4398553 _prop_3 | .2060853 .0257673 .1726437 .2440936 _prop_4 | .2123469 .0253004 .1793829 .2495264 Skipped | .0024895 .0014851 .0010881 .0056855 ---------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2020Nov] pweight: weight_genpop_2020Nov VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop intendedcount_country_2020Nov if race_deservemore_2020Sep=="Strongly Agree":Q48a_2020Sep , level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 1,108 Number of PSUs = 1,108 Population size = 1,068.3515 Design df = 1,107 _prop_1: intendedcount_country_2020Nov = Very confident _prop_2: intendedcount_country_2020Nov = Somewhat confident _prop_3: intendedcount_country_2020Nov = Not too confident _prop_4: intendedcount_country_2020Nov = Not at all confident ------------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ------------------------------+------------------------------------------------ intendedcount_country_2020Nov | _prop_1 | .6808203 .0194029 .6533464 .7070929 _prop_2 | .2451345 .01827 .2207011 .2713311 _prop_3 | .0513735 .0103923 .0387365 .0678422 _prop_4 | .0226717 .005976 .0157113 .0326134 ------------------------------------------------------------------------------- . . ** White respondents . . svyset [pw=weight_genpop_2016] pweight: weight_genpop_2016 VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop accuratecount_country_2016 if race_deservemore_2016 =="Strongly Disagree":race_deservemore_2016 & race_2016 ==1, level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 1,996 Number of PSUs = 1,996 Population size = 1,799.1482 Design df = 1,995 _prop_1: accuratecount_country_2016 = Very confident _prop_2: accuratecount_country_2016 = Somewhat confident _prop_3: accuratecount_country_2016 = Not too confident _prop_4: accuratecount_country_2016 = Not at all confident ---------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ---------------------------+------------------------------------------------ accuratecount_country_2016 | _prop_1 | .4483532 .0213815 .4189424 .4781297 _prop_2 | .3834445 .0201822 .3558905 .411768 _prop_3 | .1173346 .0140878 .0991768 .1383063 _prop_4 | .0474797 .0105688 .034803 .0644655 Skipped | .003388 .0015172 .0018206 .0062963 ---------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2020Nov] pweight: weight_genpop_2020Nov VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop intendedcount_country_2020Nov if race_deservemore_2020Sep=="Strongly Disagree":Q48a_2020Sep & race_2020Sep==1, level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 928 Number of PSUs = 928 Population size = 934.700008 Design df = 927 _prop_1: intendedcount_country_2020Nov = Very confident _prop_2: intendedcount_country_2020Nov = Somewhat confident _prop_3: intendedcount_country_2020Nov = Not too confident _prop_4: intendedcount_country_2020Nov = Not at all confident ------------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ------------------------------+------------------------------------------------ intendedcount_country_2020Nov | _prop_1 | .0610558 .0069933 .052051 .0715009 _prop_2 | .0982487 .0102634 .0849102 .1134228 _prop_3 | .1876344 .0143136 .1685931 .2082875 _prop_4 | .6530611 .0168107 .6294055 .675984 ------------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2016] pweight: weight_genpop_2016 VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop accuratecount_country_2016 if race_deservemore_2016 =="Strongly Agree":race_deservemore_2016 & race_2016 ==1, level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 555 Number of PSUs = 555 Population size = 484.952545 Design df = 554 _prop_1: accuratecount_country_2016 = Very confident _prop_2: accuratecount_country_2016 = Somewhat confident _prop_3: accuratecount_country_2016 = Not too confident _prop_4: accuratecount_country_2016 = Not at all confident ---------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ---------------------------+------------------------------------------------ accuratecount_country_2016 | _prop_1 | .2354315 .0321699 .1937581 .2829228 _prop_2 | .4879489 .0419423 .4301977 .5460237 _prop_3 | .1662613 .0316873 .1268151 .214957 _prop_4 | .1084395 .016273 .0878449 .1331574 Skipped | .0019187 .0019235 .0004771 .0076826 ---------------------------------------------------------------------------- . . svyset [pw=weight_genpop_2020Nov] pweight: weight_genpop_2020Nov VCE: linearized Single unit: missing Strata 1: SU 1: FPC 1: . svy: prop intendedcount_country_2020Nov if race_deservemore_2020Sep=="Strongly Agree":Q48a_2020Sep & race_2020Sep==1, level(83.4) (running proportion on estimation sample) Survey: Proportion estimation Number of strata = 1 Number of obs = 643 Number of PSUs = 643 Population size = 521.565596 Design df = 642 _prop_1: intendedcount_country_2020Nov = Very confident _prop_2: intendedcount_country_2020Nov = Somewhat confident _prop_3: intendedcount_country_2020Nov = Not too confident _prop_4: intendedcount_country_2020Nov = Not at all confident ------------------------------------------------------------------------------- | Linearized Logit | Proportion Std. Err. [83.4% Conf. Interval] ------------------------------+------------------------------------------------ intendedcount_country_2020Nov | _prop_1 | .728685 .021868 .6973209 .7579273 _prop_2 | .2160297 .0206303 .1887919 .2460054 _prop_3 | .0409757 .0095186 .0296314 .0564106 _prop_4 | .0143096 .0066028 .007528 .0270343 ------------------------------------------------------------------------------- . end of do-file . log close name: log: C:\Users\ljzig\Desktop\Rhodes et al 2022 VOTER Stata output.log log type: text closed on: 20 Jan 2022, 10:21:14 -----------------------------------------------------------------------------------------------------------------------------------------------