1 Data Quality Checks


We only included participants with a gc score of 1. Those with a gc value equal to 1 designate the Good Completes on the filter supplied by Qualtrics.

That is currently 1811 participants.

gc n
1 1811

We will filter out all except the good completes.

data <-  data %>%filter(gc == "1")

pander(data %>% group_by(gc) %>% tally())
gc n
1 1811
tabyl(data$DistributionChannel) %>% adorn_totals("row") %>% adorn_pct_formatting() #This is just to make sure there are not any Qualtrics test runs left in by accident (they would show up as "test" or "preview")
##  data$DistributionChannel    n percent
##                 anonymous 1811  100.0%
##                     Total 1811  100.0%

We will filter out all the 59 respondents we identified.

data <- data[ ! data$ResponseId %in% c("R_2WGZc6ab1cwMC54","R_1ITbQDELBPHqXQg","R_11ZnRVoQhRA8hkV","R_3FXtjOtbeIgE9vM","R_1dy1GYs9pfC5stc","R_1EiM4q8GR7mO7fn","R_2fIpfy6K8UbMO39","R_3g6jqKGMKdXPlCi","R_1GJnotyiADtcTuQ","R_1QlyIQBa9qItW8b","R_2tnfT6K9EwzPTOv","R_eqB6DH7CXEdMBs5","R_2PuimtkBOMjUqO1","R_3D8bjN8lwxlwDYx","R_3kIeX3pdJeZcm6A","R_20Ng5m1LYPiyqfL","R_xFxHLnB3Y5ZHADn","R_1LZN0rdw8mtXQjp","R_1qeKtyXo33mYLCR","R_1OJCv44uhtlhncU","R_UzlVhM4QQJjWZbj","R_22SyRlipm0xexBB","R_1i20re6WA7PrxRa","R_12DOXiRcACN0gLj","R_3ffzLGTnDAUl4tS","R_3pgv9C1GuNhTGtI","R_2YgGty90WwQgxJh","R_2xW7rAuyyn07sKP","R_TngxLZFHHiq4YRH","R_3EAx1bqKNCjJSPN","R_2zAsoTAqw6iCi8y","R_2qxZo1SjCzgd4o6","R_1k235cTk6b750Zy","R_1GTvueUGLM1B4Vk","R_Oe6VH3HerEfNrEJ","R_1jEfsVssUqiEGET","R_2zdoCgYPq95YybN","R_UAXaGMqMJpfL4s1","R_3KNHkmvtm32Peyn","R_2v0t0amQk9ur9wN","R_2dQPYLq4kOeuSNr","R_TtLc4V4kSqlAwXT","R_2xRXhpOtrsxfFDb","R_3khacemb8jN2m0q","R_BKCPyjrRvn92v8B","R_1Cg4mhZFkidIBZB","R_3sjBB7A3n7yQcWr","R_2qgBTPWhEInPnVk","R_3dMt9MtXZTffASP","R_2OHWrHDFYnqNEFz","R_b4rxndHfcrspwwp", "R_eRTDtXmr4af1EaZ", "R_3qPaRZSY1gRg1B4", "R_0iAHv2uNHwEx7eV", "R_1gtDX8UwQ1ksxDi", "R_2WMV2pCktQ2PHsN", "R_2PnSuabNRahytp3", "R_8CdCZrL7jXoFcK5", "R_3MamkdHHG4v6CP5"), ]

pander(data %>% group_by(gc) %>% tally())
gc n
1 1752
tabyl(data$DistributionChannel) %>% adorn_totals("row") %>% adorn_pct_formatting() #This is just to make sure there are not any Qualtrics test runs left in by accident (they would show up as "test" or "preview")
##  data$DistributionChannel    n percent
##                 anonymous 1752  100.0%
##                     Total 1752  100.0%

2 Timing



2.1 All respondents

Median completion timing for all respondents:

## [1] "9M 24.5S"

1/3rd of overall median completion timing for all respondents:

## [1] 188.1667
## [1] "3M 8.16669999999999S"

Mean completion timing for all respondents:

## [1] "11M 3.98000000000002S"

Quickest timing (seems fast; is less than 1/3 of the median time):

## [1] "2M 42S"


We decided to exclude all those <1/3 of the median overall time (n=19). Leaving us with 1733.

gc n
1 1733


2.2 Vaccination status

##                           data$VaxStatus_Fct    n percent valid_percent
##              Not received a COVID-19 vaccine  812   46.9%         46.9%
##                 One dose (Pfizer or Moderna)  111    6.4%          6.4%
##                Two doses (Pfizer or Moderna)  466   26.9%         26.9%
##  Two doses AND a booster (Pfizer or Moderna)  244   14.1%         14.1%
##                               One dose (J&J)   51    2.9%          2.9%
##                 One dose AND a booster (J&J)   48    2.8%          2.8%
##                                         <NA>    1    0.1%             -
##                                        Total 1733  100.0%        100.0%
##  data$VaxStatus_1    n percent
##                      1    0.1%
##    Not vaccinated  812   46.9%
##        Vaccinated  920   53.1%
##             Total 1733  100.0%

2.3 Prior covid infection

##                           data$HadCoV_Fct    n percent valid_percent
##  No: Pretty sure/certain not had COVID-19 1009   58.2%         58.4%
##     Yes: Pretty sure/certain had COVID-19  477   27.5%         27.6%
##                                  Not sure  241   13.9%         14.0%
##                                      <NA>    6    0.3%             -
##                                     Total 1733  100.0%        100.0%

2.4 Checking Quotas

We asked for:

  • 500 respondents who have had COVID-19 (we got 477)
  • 500 subjects who have NOT had Covid and who have been vaccinated (we got 499)
  • 500 subjects who have NOT had Covid and who have NOT been vaccinated (we got 509)

Essentially, the sixth and seventh rows should have 500 in each and then the thrid and fourth rows should have 500 combined

HadCoV_Fct VaxStatus_1 count
Not sure Not vaccinated 81
Not sure Vaccinated 160
Yes: Pretty sure/certain had COVID-19 Not vaccinated 221
Yes: Pretty sure/certain had COVID-19 Vaccinated 256
No: Pretty sure/certain not had COVID-19 1
No: Pretty sure/certain not had COVID-19 Not vaccinated 509
No: Pretty sure/certain not had COVID-19 Vaccinated 499
NA Not vaccinated 1
NA Vaccinated 5

3 Vaccine and infection qs


3.1 HadCoV_how

##                               HadCoV_How_Fct    n percent valid_percent
##                       Positive COVID-19 test  274   15.8%         57.6%
##                 No test: told by HC provider   67    3.9%         14.1%
##  No test: assumed based on symptoms/exposure  124    7.2%         26.1%
##                                        1 + 2    3    0.2%          0.6%
##                                        1 + 3    2    0.1%          0.4%
##                                        2 + 3    6    0.3%          1.3%
##                                    1 + 2 + 3    0    0.0%          0.0%
##                                         <NA> 1257   72.5%             -
##                                        Total 1733  100.0%        100.0%


3.2 Booster intentions

Only shown to those who had 2 doses of moderna or pfizer (n=466) or 1 of the J&J (n=51) with no booster yet. So should be (n=517)

##                          VaxBoost_Fct    n percent valid_percent
##   I will definitely not get a booster   27    1.6%          5.2%
##     I will probably not get a booster   30    1.7%          5.8%
##  I don’t know if I will get a booster   79    4.6%         15.3%
##         I will probably get a booster  133    7.7%         25.8%
##       I will definitely get a booster  247   14.3%         47.9%
##                                  <NA> 1217   70.2%             -
##                                 Total 1733  100.0%        100.0%

vars n mean sd median trimmed mad min max range skew kurtosis se
Booster intentions 1 516 4.052326 1.155474 4 4.253623 1.4826 1 5 4 -1.141925 0.448551 0.0508669

3.3 Vaccine intentions

Only shown to those who had 0 doses (n=812).

##                      VaxIntent_Fct    n percent valid_percent
##  Will definitely not get a vaccine  423   24.4%         52.1%
##    Will probably not get a vaccine  131    7.6%         16.1%
##                       I don't know  139    8.0%         17.1%
##        Will probably get a vaccine   65    3.8%          8.0%
##      Will definitely get a vaccine   54    3.1%          6.7%
##                               <NA>  921   53.1%             -
##                              Total 1733  100.0%        100.0%

vars n mean sd median trimmed mad min max range skew kurtosis se
Vaccine intentions 1 812 2.009852 1.269932 1 1.804615 0 1 5 4 0.9953836 -0.2015971 0.0445659

3.4 VaccinexInfection timeline

Only shown to those who had covid and been vaccinated ≥1 dose (n=302).

##                                  WhenHadCoV_Fct    n percent valid_percent
##                 Before I got a COVID-19 vaccine  154    8.9%         60.2%
##                  After I got a COVID-19 vaccine   78    4.5%         30.5%
##  Both before and after I got a COVID-19 vaccine   24    1.4%          9.4%
##                                            <NA> 1477   85.2%             -
##                                           Total 1733  100.0%        100.0%


3.5 Vaccine Benefit/Safety

Important: remember that means have been calculated after removing those who answer “unsure”

As far as you know what is the benefit of a COVID-19 vaccine to a person who has…

vars n mean sd median trimmed mad min max range skew kurtosis se
Not had CV19 1 1367 2.919532 1.162225 3 3.023744 1.4826 1 4 3 -0.5786732 -1.180358 0.0314345
Had had CV19 2 1367 2.691295 1.195320 3 2.738813 1.4826 1 4 3 -0.2862361 -1.453255 0.0323296
## 
##    Paired samples t-test 
## 
## Variables:  VaxBnftNoCoV_Num , VaxBnftHadCoV_Num 
## 
## Descriptive statistics: 
##             VaxBnftNoCoV_Num VaxBnftHadCoV_Num difference
##    mean                2.920             2.691      0.228
##    std dev.            1.162             1.195      0.827
## 
## Hypotheses: 
##    null:        population means equal for both measurements
##    alternative: different population means for each measurement
## 
## Test results: 
##    t-statistic:  10.201 
##    degrees of freedom:  1366 
##    p-value:  <.001 
## 
## Other information: 
##    two-sided 95% confidence interval:  [0.184, 0.272] 
##    estimated effect size (Cohen's d):  0.276


As far as you know how safe is a COVID-19 vaccine for a person who has

vars n mean sd median trimmed mad min max range skew kurtosis se
Not had CV19 1 1280 3.004688 1.080777 3 3.130859 1.4826 1 4 3 -0.7221983 -0.8128742 0.0302086
Had CV19 2 1280 2.937500 1.045112 3 3.046875 1.4826 1 4 3 -0.6513646 -0.7739859 0.0292118
## 
##    Paired samples t-test 
## 
## Variables:  VaxSafeNoCoV_Num , VaxSafeHadCoV_Num 
## 
## Descriptive statistics: 
##             VaxSafeNoCoV_Num VaxSafeHadCoV_Num difference
##    mean                3.005             2.938      0.067
##    std dev.            1.081             1.045      0.646
## 
## Hypotheses: 
##    null:        population means equal for both measurements
##    alternative: different population means for each measurement
## 
## Test results: 
##    t-statistic:  3.719 
##    degrees of freedom:  1279 
##    p-value:  <.001 
## 
## Other information: 
##    two-sided 95% confidence interval:  [0.032, 0.103] 
##    estimated effect size (Cohen's d):  0.104



3.6 Vaccine Benefit/Safety X Infection timeline

Here looking if safety/benefit perceptions differ based on infection timeline. Currently I am comparing across all three groups of people who had COVID either before, after, or both before and after the vaccine. However, as we only have 26 who had covid before and after, I wonder if it is better to just focus on the before vs after comparison.


As far as you know, what is the benefit of a vaccine to a person who has…



As far as you know, how safe is a COVID-19 vaccine for a person who has….




Here looking across all respondents.

As far as you know, what is the benefit of a vaccine to a person who has…



As far as you know, how safe is a COVID-19 vaccine for a person who has….


4 Lies



4.1 General

##                   measurement                                   
##        condition           No         Yes      NA_         Total
##  GenLie_Disagree 1275 (73.6%) 453 (26.1%) 5 (0.3%) 1733 (100.0%)
##      GenLie_Exer 1396 (80.6%) 332 (19.2%) 5 (0.3%) 1733 (100.0%)
##    GenLie_Depres 1242 (71.7%) 490 (28.3%) 1 (0.1%) 1733 (100.0%)
##      GenLie_Drug 1381 (79.7%) 352 (20.3%) 0 (0.0%) 1733 (100.0%)

4.2 CoV Symptoms


4.3 Screening/inperson


4.4 Precautions


4.5 Vaccination


4.6 Testing


4.7 Quarantine

##  CoVLiedata_long_complete$measurement    n     percent
##                        Never Had CV19   78 0.005923451
##                                    No 9755 0.740811057
##                                   Yes 3335 0.253265492
##                         measurement                                       
##            condition Never Had CV19           No         Yes         Total
##              CoVSymp       0 (0.0%)  919 (53.0%) 814 (47.0%) 1733 (100.0%)
##   CoVLie_PrvdrScreen      27 (2.8%)  752 (77.4%) 193 (19.9%)  972 (100.0%)
##  CoVLie_PublicScreen      24 (2.4%)  793 (80.9%) 163 (16.6%)  980 (100.0%)
##      CoVLie_InPerson      27 (2.8%)  779 (79.5%) 174 (17.8%)  980 (100.0%)
##        CoVLie_Precau       0 (0.0%) 1306 (75.7%) 420 (24.3%) 1726 (100.0%)
##        CoVLie_HadVax       0 (0.0%)  748 (92.3%)  62  (7.7%)  810 (100.0%)
##         CoVLie_Exmpt       0 (0.0%)  739 (91.0%)  73  (9.0%)  812 (100.0%)
##         CoVLie_NoVax       0 (0.0%)  813 (88.6%) 105 (11.4%)  918 (100.0%)
##        CoVLie_Tested       0 (0.0%)  643 (79.0%) 171 (21.0%)  814 (100.0%)
##         AskedToQteen       0 (0.0%)  888 (51.2%) 845 (48.8%) 1733 (100.0%)
##         CoVLie_Qteen       0 (0.0%)  720 (85.2%) 125 (14.8%)  845 (100.0%)
##         CoVBrk_Qteen       0 (0.0%)  655 (77.5%) 190 (22.5%)  845 (100.0%)

5 Children



5.1 Parent/step-parent


5.2 Child and CoV


6 Lies (Child)



6.1 Inperson/testing


6.2 Quarantine


6.3 Vaccination

#Here we need to work out the proportion of parents who lied about their child's age based on all parents who think they could have.

# To do so we take the number of parents who said they lied about their kids' age and divide that by the number of parents who said they lied about their kids' age PLUS the number who say they think they could have done so but didn't, then times by 100

(56 / (56+69))*100 #This gives us 45% who COULD have lied about their kid's age did
## [1] 44.8

##                 measurement                          
##      condition           No         Yes         Total
##       ChildU18 1061 (61.3%) 671 (38.7%) 1732 (100.0%)
##  ChildU18Lived   89 (13.3%) 580 (86.7%)  669 (100.0%)
##   ChildCoVSymp  353 (60.9%) 227 (39.1%)  580 (100.0%)
##             measurement                                                      
##   condition    No[none] Not sure[any have]     Yes[≥1]  Yes[all]        Total
##  HadCoV_kid 381 (65.7%)          44 (7.6%) 104 (17.9%) 51 (8.8%) 580 (100.0%)
##                             measurement                                     
##            condition Kid never Had CV19          No         Yes        Total
##  CoVLie_InPerson_kid           6 (2.2%) 200 (74.3%)  63 (23.4%) 269 (100.0%)
##    CoVLie_Tested_kid           0 (0.0%) 183 (80.6%)  44 (19.4%) 227 (100.0%)
##     AskedToQteen_kid           0 (0.0%) 262 (45.2%) 318 (54.8%) 580 (100.0%)
##     CoVLie_Qteen_kid           0 (0.0%) 266 (83.6%)  52 (16.4%) 318 (100.0%)
##     CoVBrk_Qteen_kid           0 (0.0%) 251 (78.9%)  67 (21.1%) 318 (100.0%)
##        CoVLie_kidAge           0 (0.0%) 522 (90.3%)  56  (9.7%) 578 (100.0%)
##       CoVLie_kidLook           0 (0.0%) 452 (86.8%)  69 (13.2%) 521 (100.0%)
##             measurement                                                       
##   condition    No[none] No[not old enough]    Yes[all]  Yes[some]        Total
##  ChildVaxed 154 (26.6%)        237 (40.9%) 116 (20.0%) 73 (12.6%) 580 (100.0%)
##                    measurement                        
##          condition          No        Yes        Total
##  CoVLie_HadVax_kid 417 (89.9%) 47 (10.1%) 464 (100.0%)
##   CoVLie_NoVax_kid 166 (87.8%) 23 (12.2%) 189 (100.0%)

7 Lie reasons



7.1 Provider screening


Reasons why they did not mention that they thought they might have COVID-19 (or knew they had it) when being screened to enter a health care provider’s office (e.g., doctor, nurse, dentist, therapist)
  .1 .2
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 101 (52.6%) 192 (100.0%)
I wanted to exercise my freedom to do what I want. 91 (47.6%) 191 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 88 (46.3%) 190 (100.0%)
I didn’t feel very sick. 84 (44.0%) 191 (100.0%)
It’s no one else’s business. 83 (43.5%) 191 (100.0%)
I didn’t want to have to get tested for COVID-19. 80 (42.1%) 190 (100.0%)
I didn’t want to be stopped from doing something I needed to do. (i.e., have my appointment with the health care provider). 81 (42.2%) 192 (100.0%)
I didn’t think I really had COVID-19. 70 (36.5%) 192 (100.0%)
I didn’t want someone to judge or think badly of me. 70 (36.5%) 192 (100.0%)
I didn’t think COVID-19 was a big deal. 67 (34.9%) 192 (100.0%)
I didn’t want certain people to know. 66 (34.6%) 191 (100.0%)
I didn’t think it mattered. 64 (33.5%) 191 (100.0%)
I didn’t think COVID-19 was real. 60 (31.4%) 191 (100.0%)
condition Yes Total

7.1.1 Any other reasons?

7.1.2 Reasons for feeling judged


7.2 Public Screening


Reasons why they did not mention that they thought they might have COVID-19 (or knew they had it) when being screened to enter a public place (e.g., grocery store, restaurant, gym, going on an airplane, etc)
  .1 .2
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 94 (57.7%) 163 (100.0%)
I didn’t feel very sick. 82 (50.3%) 163 (100.0%)
I wanted to exercise my freedom to do what I want. 81 (49.7%) 163 (100.0%)
I didn’t want to be stopped from doing something I needed to do (e.g., go to the grocery store). 78 (48.1%) 162 (100.0%)
I didn’t want to have to get tested for COVID-19. 74 (46.0%) 161 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 74 (45.7%) 162 (100.0%)
I didn’t think I really had COVID-19. 71 (43.6%) 163 (100.0%)
I didn’t think COVID-19 was a big deal. 67 (41.4%) 162 (100.0%)
I didn’t want someone to judge or think badly of me. 64 (39.8%) 161 (100.0%)
I didn’t think COVID-19 was real. 65 (39.9%) 163 (100.0%)
I didn’t want certain people to know. 62 (38.0%) 163 (100.0%)
I didn’t think it mattered. 57 (35.2%) 162 (100.0%)
condition Yes Total

7.2.1 Any other reasons?

7.2.2 Reasons for feeling judged


7.3 In person


Reasons why they did not mention that they thought they might have COVID-19 (or knew they had it) to someone you were with, or were about to see in-person.
  .1 .2
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 87 (50.9%) 171 (100.0%)
I didn’t feel very sick. 77 (45.0%) 171 (100.0%)
I wanted to exercise my freedom to do what I want. 76 (44.4%) 171 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 75 (44.1%) 170 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 75 (43.9%) 171 (100.0%)
I didn’t think I really had COVID-19. 71 (41.5%) 171 (100.0%)
I was bored or lonely. 70 (40.9%) 171 (100.0%)
I didn’t think COVID-19 was a big deal. 69 (40.4%) 171 (100.0%)
It’s no one else’s business. 66 (38.8%) 170 (100.0%)
I couldn’t miss work to stay home. 66 (38.4%) 172 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 62 (36.3%) 171 (100.0%)
I didn’t want them to be angry at me for exposing them. 60 (35.5%) 169 (100.0%)
I didn’t want someone to judge or think badly of me. 60 (34.9%) 172 (100.0%)
I was confused about the rules for quarantine. 57 (33.5%) 170 (100.0%)
I didn’t want certain people to know. 56 (32.7%) 171 (100.0%)
I didn’t think it mattered. 53 (31.4%) 169 (100.0%)
I didn’t think COVID-19 was real. 50 (29.4%) 170 (100.0%)
condition Yes Total

7.3.1 Any other reasons?

7.3.2 Reasons for feeling judged


7.4 Precautions


Reasons why they told someone that they were with, or were about to see in-person, that they were taking more measures to prevent COVID-19 than they actually were
  .1 .2
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 222 (53.2%) 417 (100.0%)
I wanted to exercise my freedom to do what I want. 190 (45.6%) 417 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 174 (41.9%) 415 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 172 (41.4%) 415 (100.0%)
It’s no one else’s business. 167 (40.2%) 415 (100.0%)
I didn’t want someone to judge or think badly of me. 147 (35.3%) 416 (100.0%)
I couldn’t miss work to stay home. 140 (33.7%) 415 (100.0%)
I was bored or lonely. 139 (33.5%) 415 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 136 (32.8%) 415 (100.0%)
I didn’t want certain people to know. 133 (32.0%) 416 (100.0%)
I didn’t want them to be angry at me for exposing them. 128 (30.8%) 415 (100.0%)
I didn’t think it mattered. 117 (28.1%) 417 (100.0%)
I didn’t think COVID-19 was a big deal. 107 (25.7%) 416 (100.0%)
I didn’t think COVID-19 was real. 104 (24.9%) 417 (100.0%)
condition Yes Total

7.4.1 Any other reasons?

7.4.2 Reasons for feeling judged


7.5 Vaccinated when not


Reasons why they told someone that they were vaccinated for COVID-19 even though they were not vaccinated
  .1 .2
It’s no one else’s business. 33 (53.2%) 62 (100.0%)
I wanted to exercise my freedom to do what I want. 31 (50.0%) 62 (100.0%)
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 31 (50.0%) 62 (100.0%)
I didn’t want someone to judge or think badly of me. 25 (40.3%) 62 (100.0%)
I didn’t want certain people to know. 25 (40.3%) 62 (100.0%)
I wanted to be able to do something where being vaccinated was required (e.g., go to a special event, get together with friends or family who were vaccinated, etc). 24 (38.7%) 62 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 22 (36.1%) 61 (100.0%)
I didn’t think COVID-19 was a big deal. 22 (35.5%) 62 (100.0%)
I didn’t think it mattered. 20 (32.3%) 62 (100.0%)
I needed to be able to go to work. 20 (32.3%) 62 (100.0%)
I didn’t think COVID-19 was real. 19 (31.1%) 61 (100.0%)
I needed to be able to attend college classes. 11 (17.7%) 62 (100.0%)
condition Yes Total

7.5.1 Any other reasons?

7.5.2 Reasons for feeling judged


7.6 Vaccine exemption


Reasons why they said they have a medical or religious reason for not getting a COVID-19 vaccine even though they didn’t really have such a reason
  .1 .2
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 40 (54.8%) 73 (100.0%)
It’s no one else’s business. 38 (52.8%) 72 (100.0%)
I wanted to exercise my freedom to do what I want. 37 (50.7%) 73 (100.0%)
I needed to be able to go to work. 24 (32.9%) 73 (100.0%)
I didn’t think it mattered. 23 (31.5%) 73 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 23 (31.5%) 73 (100.0%)
I didn’t think COVID-19 was real. 23 (31.5%) 73 (100.0%)
I wanted to be able to do something where being vaccinated was required (e.g., go to a special event, get together with friends or family who were vaccinated, etc). 22 (30.6%) 72 (100.0%)
I didn’t think COVID-19 was a big deal. 21 (28.8%) 73 (100.0%)
I didn’t want someone to judge or think badly of me. 18 (25.0%) 72 (100.0%)
I didn’t want certain people to know. 16 (21.9%) 73 (100.0%)
I needed to be able to attend college classes. 11 (15.1%) 73 (100.0%)
condition Yes Total

7.6.1 Any other reasons?

7.6.2 Reasons for feeling judged


7.7 Not vaccinated when are


Reasons why they told someone that they were not vaccinated for COVID-19 even though they were vaccinated
  .1 .2
It’s no one else’s business. 57 (54.8%) 104 (100.0%)
I didn’t think it mattered. 55 (52.9%) 104 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 54 (51.9%) 104 (100.0%)
I didn’t want certain people to know. 51 (49.0%) 104 (100.0%)
I didn’t want someone to judge or think badly of me. 47 (45.6%) 103 (100.0%)
condition Yes Total

7.7.1 Any other reasons?

7.7.2 Reasons for feeling judged


7.8 Avoid test


Reasons why they avoided getting tested for COVID-19 when they thought you might have it
  .1 .2
I didn’t feel very sick. 80 (47.1%) 170 (100.0%)
I wanted to exercise my freedom to do what I want. 79 (46.5%) 170 (100.0%)
I was worried it would hurt or be uncomfortable to get tested. 72 (42.4%) 170 (100.0%)
It’s no one else’s business. 71 (42.0%) 169 (100.0%)
I didn’t want to have to deal with the consequences of a test showing that I had COVID-19 (e.g., my family would have to quarantine, I would have to miss work, my child would miss school, etc). 65 (38.2%) 170 (100.0%)
I didn’t think I really had COVID-19. 63 (37.3%) 169 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 62 (36.5%) 170 (100.0%)
I didn’t want the government to have my personal medical information. 61 (35.9%) 170 (100.0%)
I wanted to keep COVID-19 rates low in my area so public health measures were not put in place (e.g., closing schools, mask mandates). 55 (32.7%) 168 (100.0%)
I didn’t want someone to judge or think badly of me. 54 (32.0%) 169 (100.0%)
I thought I couldn’t afford the cost of getting tested. 51 (30.4%) 168 (100.0%)
I didn’t think COVID-19 was a big deal. 52 (30.6%) 170 (100.0%)
I didn’t want certain people to know. 51 (30.2%) 169 (100.0%)
I didn’t think COVID-19 was real. 50 (29.6%) 169 (100.0%)
I didn’t think it mattered. 47 (27.8%) 169 (100.0%)
I didn’t have time to get tested. 45 (26.8%) 168 (100.0%)
I didn’t know how or where to get tested. 41 (24.1%) 170 (100.0%)
condition Yes Total

7.8.1 Any other reasons?

7.8.2 Reasons for feeling judged


7.9 Lie Qtine


Reasons why they told someone that they didn’t need to quarantine even though they were supposed to
  .1 .2
I didn’t feel very sick. 70 (56.9%) 123 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 69 (55.2%) 125 (100.0%)
I wanted to exercise my freedom to do what I want. 68 (54.4%) 125 (100.0%)
It’s no one else’s business. 67 (53.6%) 125 (100.0%)
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 66 (53.2%) 124 (100.0%)
I didn’t think I really had COVID-19. 62 (49.6%) 125 (100.0%)
I was bored or lonely. 59 (47.2%) 125 (100.0%)
I didn’t think COVID-19 was real. 55 (44.7%) 123 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 55 (44.0%) 125 (100.0%)
I didn’t think it mattered. 53 (42.4%) 125 (100.0%)
I didn’t want certain people to know. 52 (41.9%) 124 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 52 (41.9%) 124 (100.0%)
I didn’t want them to be angry at me for exposing them. 51 (41.1%) 124 (100.0%)
I didn’t think COVID-19 was a big deal. 51 (40.8%) 125 (100.0%)
I couldn’t miss work to stay home. 49 (39.2%) 125 (100.0%)
I didn’t want someone to judge or think badly of me. 48 (38.4%) 125 (100.0%)
I was confused about the rules for quarantine. 46 (37.1%) 124 (100.0%)
condition Yes Total

7.9.1 Any other reasons?

7.9.2 Reasons for feeling judged


7.10 Broke Qtine


Reasons why they broke quarantine rules
  .1 .2
It’s no one else’s business. 112 (59.3%) 189 (100.0%)
I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). 105 (55.6%) 189 (100.0%)
I wanted to exercise my freedom to do what I want. 100 (52.9%) 189 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 100 (52.6%) 190 (100.0%)
I didn’t feel very sick. 93 (48.9%) 190 (100.0%)
I didn’t think I really had COVID-19. 90 (47.6%) 189 (100.0%)
condition 2 Total
I didn’t think it mattered. 80 (42.3%) 189 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 78 (41.3%) 189 (100.0%)
I was bored or lonely. 77 (40.5%) 190 (100.0%)
I didn’t think COVID-19 was a big deal. 75 (39.5%) 190 (100.0%)
I couldn’t miss work to stay home. 70 (37.2%) 188 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 70 (37.0%) 189 (100.0%)
I was confused about the rules for quarantine. 61 (32.3%) 189 (100.0%)
I didn’t want certain people to know. 59 (31.2%) 189 (100.0%)
I didn’t want someone to judge or think badly of me. 56 (29.6%) 189 (100.0%)
I didn’t think COVID-19 was real. 53 (28.2%) 188 (100.0%)

7.10.1 Any other reasons?

7.10.2 Reasons for feeling judged


7.11 In person (kid)


Reasons why they did not mention that they thought their child might have COVID-19 (or knew they had it) to someone their child was with, or was about to see in-person.
  .1 .2
I wanted to exercise my freedom to do what I want with my child. 33 (52.4%) 63 (100.0%)
My child didn’t feel very sick. 30 (47.6%) 63 (100.0%)
I wanted my child’s life to feel “normal” (i.e., how they felt before the COVID-19 pandemic began). 29 (46.0%) 63 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 28 (44.4%) 63 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 27 (43.5%) 62 (100.0%)
I didn’t think my child really had COVID-19. 27 (42.9%) 63 (100.0%)
I didn’t want my child to miss school to stay home. 27 (42.9%) 63 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 25 (40.3%) 62 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 25 (39.7%) 63 (100.0%)
I didn’t want my child to miss an event or other fun activity to stay home. 25 (39.7%) 63 (100.0%)
I didn’t want my child to miss important activities to stay home (e.g., music, sports, clubs). 24 (38.1%) 63 (100.0%)
I was confused about the rules for quarantine. 23 (36.5%) 63 (100.0%)
I didn’t want them to be angry at me or my child for exposing them. 22 (34.9%) 63 (100.0%)
My child was bored or lonely. 22 (34.9%) 63 (100.0%)
I couldn’t miss work to stay home. 22 (34.9%) 63 (100.0%)
I didn’t want certain people to know. 21 (33.3%) 63 (100.0%)
It’s no one else’s business. 20 (32.3%) 62 (100.0%)
I didn’t think it mattered. 19 (30.2%) 63 (100.0%)
I didn’t think COVID-19 was a big deal. 18 (28.6%) 63 (100.0%)
I didn’t think COVID-19 was real. 16 (25.4%) 63 (100.0%)
condition Yes Total

7.11.1 Any other reasons?

7.11.2 Reasons for feeling judged


7.12 Avoid test (kid)


Reasons why they avoided getting their child tested for COVID-19 when they thought they might have it
  .1 .2
My child and/or I were worried it would hurt or be uncomfortable to get tested. 24 (54.5%) 44 (100.0%)
I wanted to exercise my freedom to do what I want with my child. 22 (50.0%) 44 (100.0%)
It’s no one else’s business. 18 (40.9%) 44 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 16 (36.4%) 44 (100.0%)
I thought I couldn’t afford the cost of getting my child tested. 16 (36.4%) 44 (100.0%)
I didn’t want to have to deal with the consequences of a test showing that my child had COVID-19 (e.g., my family would have to quarantine, I would have to miss work, my child would miss school, etc). 16 (36.4%) 44 (100.0%)
My child didn’t feel very sick. 15 (34.1%) 44 (100.0%)
I wanted to keep COVID-19 rates low in my area so public health measures were not put in place (e.g., closing schools, mask mandates). 15 (34.1%) 44 (100.0%)
I didn’t think my child really had COVID-19. 14 (32.6%) 43 (100.0%)
I didn’t think it mattered. 14 (31.8%) 44 (100.0%)
I didn’t want certain people to know. 14 (31.8%) 44 (100.0%)
I didn’t have time to get my child tested. 14 (31.8%) 44 (100.0%)
I didn’t want the government to have my child’s personal medical information. 14 (31.8%) 44 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 13 (29.5%) 44 (100.0%)
I didn’t think COVID-19 was a big deal. 12 (27.3%) 44 (100.0%)
I didn’t know how or where to get my child tested. 11 (25.0%) 44 (100.0%)
I didn’t think COVID-19 was real. 9 (20.5%) 44 (100.0%)
condition Yes Total

7.12.1 Any other reasons?

7.12.2 Reasons for feeling judged


7.13 Lie Qtine (kid)


Reasons why they told someone that their child didn’t need to quarantine even though they were supposed to
  .1 .2
I didn’t want them to be angry at me or my child for exposing them. 25 (48.1%) 52 (100.0%)
I didn’t want my child to miss important activities to stay home (e.g., music, sports, clubs). 24 (46.2%) 52 (100.0%)
I didn’t think my child really had COVID-19. 22 (42.3%) 52 (100.0%)
I wanted my child’s life to feel “normal” (i.e., how they felt before the COVID-19 pandemic began). 22 (42.3%) 52 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 21 (41.2%) 51 (100.0%)
I didn’t want my child to miss an event or other fun activity to stay home. 21 (40.4%) 52 (100.0%)
My child didn’t feel very sick. 20 (38.5%) 52 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 20 (38.5%) 52 (100.0%)
I didn’t think it mattered. 20 (38.5%) 52 (100.0%)
I didn’t think COVID-19 was a big deal. 20 (38.5%) 52 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 20 (38.5%) 52 (100.0%)
I wanted to exercise my freedom to do what I want with my child. 19 (36.5%) 52 (100.0%)
I didn’t want my child to miss school to stay home. 19 (36.5%) 52 (100.0%)
I didn’t want certain people to know. 18 (35.3%) 51 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 18 (35.3%) 51 (100.0%)
I couldn’t miss work to stay home. 17 (32.7%) 52 (100.0%)
I didn’t think COVID-19 was real. 16 (30.8%) 52 (100.0%)
It’s no one else’s business. 16 (30.8%) 52 (100.0%)
My child was bored or lonely. 16 (30.8%) 52 (100.0%)
I was confused about the rules for quarantine. 13 (25.0%) 52 (100.0%)
condition Yes Total

7.13.1 Any other reasons?

7.13.2 Reasons for feeling judged


7.14 Broke Qtine (kid)


Reasons why they allowed their child to break quarantine rules
  .1 .2
I wanted to exercise my freedom to do what I want with my child. 32 (48.5%) 66 (100.0%)
It’s no one else’s business. 30 (44.8%) 67 (100.0%)
I wanted my child’s life to feel “normal” (i.e., how they felt before the COVID-19 pandemic began). 30 (44.8%) 67 (100.0%)
I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). 29 (43.3%) 67 (100.0%)
I didn’t think my child really had COVID-19. 28 (41.8%) 67 (100.0%)
My child didn’t feel very sick. 28 (41.8%) 67 (100.0%)
I didn’t want my child to miss important activities to stay home (e.g., music, sports, clubs). 26 (38.8%) 67 (100.0%)
My child was bored or lonely. 24 (35.8%) 67 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 23 (34.3%) 67 (100.0%)
I didn’t think it mattered. 22 (32.8%) 67 (100.0%)
I didn’t want my child to miss an event or other fun activity to stay home. 22 (32.8%) 67 (100.0%)
I couldn’t miss work to stay home. 22 (32.8%) 67 (100.0%)
I didn’t want to miss an event or other fun activity to stay home. 21 (31.8%) 66 (100.0%)
I didn’t want my child to miss school to stay home. 20 (29.9%) 67 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 19 (28.4%) 67 (100.0%)
I didn’t think COVID-19 was real. 18 (26.9%) 67 (100.0%)
I was confused about the rules for quarantine. 16 (24.6%) 65 (100.0%)
I didn’t want certain people to know. 16 (24.2%) 66 (100.0%)
I didn’t think COVID-19 was a big deal. 14 (20.9%) 67 (100.0%)
condition Yes Total

7.14.1 Any other reasons?

7.14.2 Reasons for feeling judged


7.15 Lie vax age (kid)


Reasons why they said that their child was older than they actually were so that they could get a COVID-19 vaccine
  .1 .2
I wanted to exercise my freedom to do what I want with my child. 37 (66.1%) 56 (100.0%)
I wanted my child vaccinated to lower their risk of COVID-19 in time for school or camp. 36 (64.3%) 56 (100.0%)
I wanted my child vaccinated to lower their risk of COVID-19 in time for a trip or a visit with family or friends. 32 (57.1%) 56 (100.0%)
I wanted my child vaccinated to lower their risk of COVID-19 in general. 30 (53.6%) 56 (100.0%)
I wanted my child vaccinated to lower their risk of COVID-19 in time for an event or activity that they were participating in. 28 (50.0%) 56 (100.0%)
condition Yes Total

7.15.1 Any other reasons?


7.16 Vaccinated when not (kid)


Reasons why they told someone that thier child was vaccinated for COVID-19 even though they were not vaccinated
  .1 .2
I wanted to exercise my freedom to do what I want with my child. 31 (67.4%) 46 (100.0%)
I wanted my child’s life to feel “normal” (i.e., how they felt before the COVID-19 pandemic began). 28 (62.2%) 45 (100.0%)
I wanted my child to be able to do something where being vaccinated was required (e.g., go to a special event, get together with friends or family who were vaccinated, etc). 28 (60.9%) 46 (100.0%)
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 24 (52.2%) 46 (100.0%)
I didn’t want certain people to know. 22 (47.8%) 46 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 21 (45.7%) 46 (100.0%)
It’s no one else’s business. 19 (41.3%) 46 (100.0%)
I didn’t think it mattered. 18 (39.1%) 46 (100.0%)
I didn’t think COVID-19 was real. 16 (34.8%) 46 (100.0%)
I didn’t think COVID-19 was a big deal. 15 (32.6%) 46 (100.0%)
condition Yes Total

7.16.1 Any other reasons?

7.16.2 Reasons for feeling judged


7.17 Not vaccinated when are (kid)


Reasons why they told someone that thier child was not vaccinated for COVID-19 even though they were vaccinated
  .1 .2
I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). 15 (65.2%) 23 (100.0%)
I didn’t want someone to judge or think badly of me or my child. 13 (56.5%) 23 (100.0%)
It’s no one else’s business. 10 (43.5%) 23 (100.0%)
I didn’t think it mattered. 9 (39.1%) 23 (100.0%)
I didn’t want certain people to know. 8 (34.8%) 23 (100.0%)
condition Yes Total

7.17.1 Any other reasons?

7.17.2 Reasons for feeling judged


8 Vax and masking qs



8.1 Anonymous vaccination

##  data$AnonVaxIntent_Chr    n percent valid_percent
##                   Maybe   73    4.2%         10.5%
##                      No  582   33.6%         84.0%
##                     Yes   38    2.2%          5.5%
##                    <NA> 1040   60.0%             -
##                   Total 1733  100.0%        100.0%
##  data$AnonVax_Chr    n percent valid_percent
##                No  825   47.6%         89.6%
##               Yes   96    5.5%         10.4%
##              <NA>  812   46.9%             -
##             Total 1733  100.0%        100.0%


8.2 Masking

How often, if at all, have you worn a protective mask in each of the following places in the past month?

Important: remember that means have been calculated after removing those who answer “I dont go to this place”

vars n mean sd median trimmed mad min max range skew kurtosis se
Outdoors (crowded places) 1 1563 2.607805 1.170646 3 2.634692 1.4826 1 4 3 -0.1165053 -1.468951 0.0296105
Outdoor (w/friends/family) 2 1625 2.282462 1.203277 2 2.228286 1.4826 1 4 3 0.2761788 -1.483619 0.0298496
At work 3 1221 2.805078 1.211153 3 2.881269 1.4826 1 4 3 -0.3892808 -1.442572 0.0346610
Grocery store 4 1671 2.879114 1.137699 3 2.973822 1.4826 1 4 3 -0.4474883 -1.272691 0.0278317
Public transport 5 1018 2.897839 1.201186 3 2.996323 1.4826 1 4 3 -0.5515931 -1.287950 0.0376475

## $total
##  raw_alpha std.alpha   G6(smc) average_r      S/N         ase     mean       sd
##  0.9043416 0.9049074 0.8951392  0.655554 9.516064 0.003681614 2.687668 1.017094
##   median_r
##  0.6681383
##    vars    n mean   sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 1707 2.69 1.02    2.8    2.73 1.28   1   4     3 -0.22    -1.22 0.02

8.3 Mask + vax norm

vars n mean sd median trimmed mad min max range skew kurtosis se
Mask compared to others 1 1729 3.178138 1.219331 3 3.222383 1.4826 1 5 4 -0.1131789 -0.7242084 0.0293241
Other vax 2 1732 3.042725 1.102185 3 3.038239 1.4826 1 5 4 -0.0300413 -0.8236272 0.0264838

8.4 Mandates

##  data$MaskMandateSchools    n percent valid_percent
##                       No  463   26.7%         26.7%
##                      Yes  837   48.3%         48.4%
##                   Unsure  431   24.9%         24.9%
##                     <NA>    2    0.1%             -
##                    Total 1733  100.0%        100.0%
##                         data$VaxMandateWork    n percent valid_percent
##                      Not currently employed  717   41.4%         47.0%
##                                          No  587   33.9%         38.5%
##          Yes: Employer requires vaccination  220   12.7%         14.4%
##  Yes: Employed requires vaccination or test    0    0.0%          0.0%
##                                        <NA>  209   12.1%             -
##                                       Total 1733  100.0%        100.0%
##  data$VaxRequireOther    n percent valid_percent
##                    No 1272   73.4%         73.5%
##                   Yes  458   26.4%         26.5%
##                  <NA>    3    0.2%             -
##                 Total 1733  100.0%        100.0%


8.5 Exemptions


##  data$MedExempt    n percent valid_percent
##              No 1538   88.7%         88.8%
##             Yes  194   11.2%         11.2%
##            <NA>    1    0.1%             -
##           Total 1733  100.0%        100.0%
##  data$ReligExempt    n percent valid_percent
##                No 1540   88.9%         88.9%
##               Yes  192   11.1%         11.1%
##              <NA>    1    0.1%             -
##             Total 1733  100.0%        100.0%

8.5.1 Medical reasons:

8.5.2 Religious reasons:


8.6 Any final thoughts



9 Demographics



9.1 Age


Mean age and plot of all ages.

##    vars    n  mean    sd median trimmed   mad min max range skew kurtosis   se
## X1    1 1724 40.87 15.17     38   39.66 14.83  18  87    69 0.65    -0.29 0.37



9.2 Gender



##  data$Gender_Model    n percent valid_percent
##             Female 1143   66.0%         67.6%
##               Male  548   31.6%         32.4%
##               <NA>   42    2.4%             -
##              Total 1733  100.0%        100.0%


9.3 Race/Ethnicity



##  data$NonHispanicWhite_Fct    n percent valid_percent
##                         No  553   31.9%         32.5%
##                        Yes 1151   66.4%         67.5%
##                       <NA>   29    1.7%             -
##                      Total 1733  100.0%        100.0%


9.4 Education


How participants best described their highest level of education

##                            data$Education_Fct    n percent
##                                          None   16    0.9%
##                             Elementary school    5    0.3%
##               Some high school but no diploma   95    5.5%
##                  High school (Diploma or GED)  606   35.0%
##                   Some college, but no degree  425   24.5%
##                                  Trade school  114    6.6%
##              Bachelor’s degree (BS, BA, etc.)  354   20.4%
##               Master’s degree (MA, MPH, etc.)   95    5.5%
##  Doctoral/Professional degree (PhD, MD, etc.)   21    1.2%
##                                   No response    2    0.1%
##                                         Total 1733  100.0%

9.5 Rural/Urban


How participants best described the place where they live

##                   data$UrbanRural_Fct    n percent valid_percent
##                                 Rural  486   28.0%         28.1%
##             Small (less than 100,000)  281   16.2%         16.3%
##              Suburban near large city  564   32.5%         32.6%
##  Mid sized city (100,000 to 1million)  145    8.4%          8.4%
##         large city more than 1million  248   14.3%         14.4%
##                                 Other    4    0.2%          0.2%
##                                  <NA>    5    0.3%             -
##                                 Total 1733  100.0%        100.0%

9.6 States/Regions


Looking at regions based on states. (note: I need to add District of Columbia to a region)

9.6.1 Region

##  data$State_Region    n percent valid_percent
##            Midwest  363   20.9%         21.1%
##          Northeast  302   17.4%         17.5%
##              South  861   49.7%         49.9%
##               West  198   11.4%         11.5%
##               <NA>    9    0.5%             -
##              Total 1733  100.0%        100.0%

9.6.2 State


10 Individual differences



10.1 Politics


##              data$Political_Fct    n percent
##                        Democrat  596   34.4%
##                      Republican  462   26.7%
##                     Independent  425   24.5%
##             Liberal third party   23    1.3%
##        Conservative third party    5    0.3%
##  No political party affiliation  222   12.8%
##                           Total 1733  100.0%

##  data$PoliticalSocial_Fct    n percent valid_percent
##              Very liberal  184   10.6%         10.6%
##                   Liberal  176   10.2%         10.2%
##          Slightly liberal  124    7.2%          7.2%
##                  Moderate  775   44.7%         44.8%
##     Slightly conservative  131    7.6%          7.6%
##              Conservative  186   10.7%         10.7%
##         Very conservative  155    8.9%          9.0%
##                      <NA>    2    0.1%             -
##                     Total 1733  100.0%        100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Political views 1 1731 3.965338 1.65734 4 3.969675 1.4826 1 7 6 -0.0256081 -0.4392216 0.0398348

10.2 Religion


##  data$Religiosity_Fct    n percent valid_percent
##  Not at all religious  410   23.7%         23.7%
##                     2  133    7.7%          7.7%
##                     3  135    7.8%          7.8%
##                     4  267   15.4%         15.4%
##                     5  292   16.8%         16.9%
##                     6  207   11.9%         12.0%
##        Very religious  288   16.6%         16.6%
##                  <NA>    1    0.1%             -
##                 Total 1733  100.0%        100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Religiosity 1 1732 3.964781 2.158756 4 3.955989 2.9652 1 7 6 -0.0971393 -1.348893 0.0518716

##   data$ReligiousViews_Fct    n percent valid_percent
##          Very traditional  233   13.4%         13.5%
##                         2  163    9.4%          9.4%
##                         3  159    9.2%          9.2%
##                         4  306   17.7%         17.7%
##                         5  213   12.3%         12.3%
##                         6  124    7.2%          7.2%
##          Very progressive  181   10.4%         10.5%
##  I'm not religious at all  352   20.3%         20.3%
##                      <NA>    2    0.1%             -
##                     Total 1733  100.0%        100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Religious views 1 1379 3.869471 1.946771 4 3.837104 2.9652 1 7 6 0.0379519 -1.073161 0.0524243

10.3 Vax general


##  data$VaxGeneral_Fct    n percent valid_percent
##        Very negative  224   12.9%         12.9%
##                    2   92    5.3%          5.3%
##                    3  143    8.3%          8.3%
##                    4  323   18.6%         18.6%
##                    5  249   14.4%         14.4%
##                    6  200   11.5%         11.5%
##        Very positive  501   28.9%         28.9%
##                 <NA>    1    0.1%             -
##                Total 1733  100.0%        100.0%
vars n mean sd median trimmed mad min max range skew kurtosis se
Vax General 1 1732 4.665704 2.056038 5 4.83189 2.9652 1 7 6 -0.4434629 -1.004312 0.0494034

10.4 Belief in science


The reliability of the (lack of) Belief in science items is good. Cronbach’s Alpha is .94.

## $total
##  raw_alpha std.alpha   G6(smc) average_r      S/N         ase     mean       sd
##  0.9385171 0.9385071 0.9286404  0.717807 15.26204 0.002287949 4.009546 1.503151
##   median_r
##  0.7180274
## $sample.size
## [1] 1724
## 
## $number.of.items
## [1] 6
## 
## $alpha
## [1] 0.9387535

Overall descriptives

##    vars    n mean  sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 1732 4.01 1.5      4    4.04 1.48   1   7     6 -0.18    -0.37 0.04
##                   vars    n mean   sd median trimmed  mad min max range  skew
## beliefinscience_1    1 1729 4.06 1.73      4    4.09 1.48   1   7     6 -0.15
## beliefinscience_2    2 1729 4.10 1.68      4    4.13 1.48   1   7     6 -0.17
## beliefinscience_3    3 1730 4.01 1.68      4    4.04 1.48   1   7     6 -0.13
## beliefinscience_4    4 1730 4.02 1.76      4    4.04 1.48   1   7     6 -0.13
## beliefinscience_5    5 1730 3.90 1.73      4    3.90 1.48   1   7     6 -0.06
## beliefinscience_6    6 1729 3.97 1.73      4    3.98 1.48   1   7     6 -0.09
##                   kurtosis   se
## beliefinscience_1    -0.75 0.04
## beliefinscience_2    -0.62 0.04
## beliefinscience_3    -0.63 0.04
## beliefinscience_4    -0.82 0.04
## beliefinscience_5    -0.77 0.04
## beliefinscience_6    -0.77 0.04

Reported belief in science for each item


10.5 Conspiracy theories


The reliability of the Belief in conspiracy theories items is good. Cronbach’s Alpha is .90.

## $total
##  raw_alpha std.alpha   G6(smc) average_r      S/N       ase     mean       sd
##  0.8956035 0.8956985 0.8905664 0.5886915 8.587591 0.0039039 2.604311 1.035319
##   median_r
##  0.6094757

Overall descriptives

##    vars    n mean   sd median trimmed  mad min max range skew kurtosis   se
## X1    1 1732  2.6 1.04   2.83    2.58 0.99   1   5     4 0.01    -0.75 0.02
##              vars    n mean   sd median trimmed  mad min max range  skew
## conspiracy_1    1 1732 2.94 1.32      3    2.92 1.48   1   5     4 -0.10
## conspiracy_2    2 1732 2.80 1.30      3    2.75 1.48   1   5     4 -0.02
## conspiracy_3    3 1732 2.73 1.30      3    2.67 1.48   1   5     4  0.05
## conspiracy_4    4 1732 2.38 1.29      2    2.26 1.48   1   5     4  0.42
## conspiracy_5    5 1731 2.11 1.27      2    1.94 1.48   1   5     4  0.77
## conspiracy_6    6 1732 2.67 1.18      3    2.63 1.48   1   5     4  0.01
##              kurtosis   se
## conspiracy_1    -1.10 0.03
## conspiracy_2    -1.08 0.03
## conspiracy_3    -1.11 0.03
## conspiracy_4    -0.99 0.03
## conspiracy_5    -0.61 0.03
## conspiracy_6    -0.82 0.03

Reported belief in each conspiracy theory item



10.6 Info Sources


From where do you get guidance regarding COVID-19?

##                               measurement                           
##                    condition           No          Yes         Total
##                    My doctor  657 (38.2%) 1061 (61.8%) 1718 (100.0%)
##                      Friends 1048 (61.2%)  665 (38.8%) 1713 (100.0%)
##                       Family  904 (52.8%)  809 (47.2%) 1713 (100.0%)
##            Local Health Dept  846 (49.5%)  864 (50.5%) 1710 (100.0%)
##                          CDC  812 (47.4%)  902 (52.6%) 1714 (100.0%)
##                       Google  986 (57.5%)  730 (42.5%) 1716 (100.0%)
##         A certain politician 1562 (93.5%)  109  (6.5%) 1671 (100.0%)
##          A certain celebrity 1595 (94.9%)   85  (5.1%) 1680 (100.0%)
##  A certain media personality 1563 (93.4%)  111  (6.6%) 1674 (100.0%)

10.6.1 Politician

10.6.2 Celebrity

10.6.3 Media personality


11 Checking for DV



11.1 COVID Lying questions only


We can see below that 623 (36%) lied at least once to one of the LYING COVID questions and 1110 (64%) did not lie at all on these questions.

(Provider screen, public screen, in-person, precautions, had vax, not had vax, need for quarantine)

##  data$TimesLied    n percent
##               0 1110   64.1%
##               1  338   19.5%
##               2  115    6.6%
##               3   76    4.4%
##               4   47    2.7%
##               5   24    1.4%
##               6   23    1.3%
##           Total 1733  100.0%

Here we can see that respondents reported lying to 15% (±24%) of the questions on average with the median and mode both 0%. We can also see the data are highly skewed with a long tail.

##    vars    n mean   sd median trimmed mad min max range skew kurtosis   se
## X1    1 1733 0.15 0.24      0    0.09   0   0   1     1 1.72     2.28 0.01

##  data$Avg_TimesLied    n percent
##                   0 1110   64.1%
##   0.166666666666667  130    7.5%
##                 0.2   86    5.0%
##                0.25    1    0.1%
##   0.333333333333333  132    7.6%
##                 0.4   37    2.1%
##                 0.5   92    5.3%
##                 0.6   23    1.3%
##   0.666666666666667   55    3.2%
##                0.75    2    0.1%
##                 0.8   10    0.6%
##   0.833333333333333   23    1.3%
##                   1   32    1.8%
##               Total 1733  100.0%


Here we can see that respondents who lied at least once reported lying to 41% (±24%) of the questions on average with the median 33%.

##    vars   n mean   sd median trimmed  mad  min max range skew kurtosis   se
## X1    1 623 0.41 0.24   0.33    0.38 0.25 0.17   1  0.83 0.92     0.02 0.01

##  data_liars$Avg_TimesLied   n percent
##         0.166666666666667 130   20.9%
##                       0.2  86   13.8%
##                      0.25   1    0.2%
##         0.333333333333333 132   21.2%
##                       0.4  37    5.9%
##                       0.5  92   14.8%
##                       0.6  23    3.7%
##         0.666666666666667  55    8.8%
##                      0.75   2    0.3%
##                       0.8  10    1.6%
##         0.833333333333333  23    3.7%
##                         1  32    5.1%
##                     Total 623  100.0%


11.2 All COVID adult questions


We can see below that 721 (42%) lied at least once to one of the LYING + NON-ADHERENCE COVID questions and 1012 (58%) did not lie at all on these questions.

(Provider screen, public screen, in-person, precautions, had vax, not had vax, need for quarantine, avoid testing, broke quarantine)

##  data$TimesLied_all    n percent
##                   0 1012   58.4%
##                   1  364   21.0%
##                   2  133    7.7%
##                   3   91    5.3%
##                   4   57    3.3%
##                   5   29    1.7%
##                   6   20    1.2%
##                   7    9    0.5%
##                   8   18    1.0%
##               Total 1733  100.0%

Here we can see that respondents reported lying to 15% (±23%) of the questions on average with the median and mode both 0%. We can also see the data are highly skewed with a long tail.

##    vars    n mean   sd median trimmed mad min max range skew kurtosis   se
## X1    1 1733 0.15 0.23      0     0.1   0   0   1     1 1.68     2.25 0.01

##  data$Avg_TimesLied_all    n percent
##                       0 1012   58.4%
##                   0.125  135    7.8%
##       0.142857142857143   11    0.6%
##       0.166666666666667   81    4.7%
##                     0.2   13    0.8%
##                    0.25  138    8.0%
##       0.285714285714286    3    0.2%
##       0.333333333333333   29    1.7%
##                   0.375   43    2.5%
##                     0.4    9    0.5%
##       0.428571428571429    7    0.4%
##                     0.5  133    7.7%
##       0.571428571428571    3    0.2%
##                     0.6    7    0.4%
##                   0.625   24    1.4%
##       0.666666666666667   13    0.8%
##       0.714285714285714    3    0.2%
##                    0.75   31    1.8%
##                     0.8    2    0.1%
##       0.833333333333333    2    0.1%
##                   0.875    9    0.5%
##                       1   25    1.4%
##                   Total 1733  100.0%


Here we can see that respondents who lied at least once reported lying to 36% (±23%) of the questions on average with the median 25%.

##    vars   n mean   sd median trimmed  mad  min max range skew kurtosis   se
## X1    1 721 0.36 0.23   0.25    0.33 0.19 0.12   1  0.88 1.01     0.36 0.01

##  data_liars_all$Avg_TimesLied_all   n percent
##                             0.125 135   18.7%
##                 0.142857142857143  11    1.5%
##                 0.166666666666667  81   11.2%
##                               0.2  13    1.8%
##                              0.25 138   19.1%
##                 0.285714285714286   3    0.4%
##                 0.333333333333333  29    4.0%
##                             0.375  43    6.0%
##                               0.4   9    1.2%
##                 0.428571428571429   7    1.0%
##                               0.5 133   18.4%
##                 0.571428571428571   3    0.4%
##                               0.6   7    1.0%
##                             0.625  24    3.3%
##                 0.666666666666667  13    1.8%
##                 0.714285714285714   3    0.4%
##                              0.75  31    4.3%
##                               0.8   2    0.3%
##                 0.833333333333333   2    0.3%
##                             0.875   9    1.2%
##                                 1  25    3.5%
##                             Total 721  100.0%


12 EVCI


The reliability of the Emory vaccine items is good. Cronbach’s Alpha is .92.

## $total
##  raw_alpha std.alpha  G6(smc) average_r      S/N         ase     mean        sd
##  0.9244769 0.9245709 0.929513 0.6050842 12.25748 0.002767594 1.758596 0.7963367
##  median_r
##  0.586101

Overall descriptives

##    vars    n  mean   sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 1733 14.04 6.38     15   14.51 5.93   0  24    24 -0.61    -0.31 0.15

Vaccine confidence for each item

Trust: Scientists involved in developingand testing new vaccines


Trust: Federal government agencies responsible formonitoring the safety of recommended vaccines


Trust: Centers for Disease Control and Prevention,the federal government agency that makesrecommendations about who should getlicensed vaccines


Trust: Food & Drug Administration, the federalgovernment agency that licenses vaccines


Confidence: Vaccines recommendedchildren are safe.


Confidence: My doctor/nurse is a reliableof trustworthy vaccine information


**Confidence: My doctor/nurse has my best healthinterests mind when making vaccine*


It is important for everyone to get thevaccines for their child(ren)


There were also two items we added


Vaccines recommended for adults are safe

It is important for everyone to get the recommended vaccines for them


13 New plots














14 Analyses: Adult


## 
##   1   2   3   4   5 
## 368 231 496 411 226
##  data$TimesBelievedCT    n percent
##                     0  820   47.3%
##                     1  217   12.5%
##                     2  200   11.5%
##                     3  173   10.0%
##                     4  132    7.6%
##                     5   95    5.5%
##                     6   96    5.5%
##                 Total 1733  100.0%
  Dishonesty
Predictors Odds Ratios CI p value
(Intercept) 1.15 0.52 – 2.55 0.726
Age 0.97 0.96 – 0.97 <0.001
Education [High School, College, or Trade] 0.80 0.52 – 1.24 0.307
Education [Bachelors or More] 0.97 0.60 – 1.57 0.898
RaceEthnicity 1 [Non-Hispanic black] 0.93 0.68 – 1.28 0.662
RaceEthnicity 1 [Hispanic] 0.96 0.68 – 1.36 0.836
RaceEthnicity 1 [Any other race/ethnicity] 0.64 0.40 – 1.00 0.055
Residence [Urban] 1.03 0.81 – 1.31 0.839
PoliticalParty [Democrat] 1.49 1.07 – 2.07 0.017
PoliticalParty [Independent] 1.12 0.82 – 1.53 0.457
PoliticalParty [Other third Party] 1.11 0.45 – 2.69 0.821
PoliticalParty [No political party affiliation] 0.93 0.63 – 1.36 0.711
PoliticalBelief 0.99 0.91 – 1.06 0.725
Religiosity 1.04 0.98 – 1.09 0.164
VaxStatus 2 [Partially vaccinated] 3.25 2.03 – 5.30 <0.001
VaxStatus 2 [Fully Vaccinated] 1.50 1.13 – 1.97 0.004
VaxStatus 2 [Fully Vaccinated + Booster] 1.54 1.08 – 2.19 0.017
GroceryMaskUse 1.03 0.92 – 1.15 0.634
Prevent norm 0.93 0.84 – 1.04 0.209
VaccineAttitudes 0.97 0.90 – 1.03 0.315
R BeliefinScience 1.14 1.05 – 1.24 0.002
ConspiracyBeliefs Yes [Yes] 1.34 1.06 – 1.70 0.015
Info Dr CDC DoH [Yes] 1.16 0.89 – 1.52 0.276
Info Celeb Media [Yes] 1.61 1.09 – 2.40 0.017
Observations 1650
R2 Tjur 0.109
Observations 1650 (83 missing obs. deleted)
Dependent variable Dishonesty
Type Generalized linear model
Family binomial
Link logit
𝛘²(23) 186.10
Pseudo-R² (Cragg-Uhler) 0.14
Pseudo-R² (McFadden) 0.08
AIC 2099.46
BIC 2229.27
Est. S.E. z val. p VIF
(Intercept) 0.14 0.41 0.35 0.73 NA
Age -0.03 0.00 -8.22 0.00 1.20
EducationHigh School, College, or Trade -0.23 0.22 -1.02 0.31 1.22
EducationBachelors or More -0.03 0.25 -0.13 0.90 1.22
RaceEthnicity_1Non-Hispanic black -0.07 0.16 -0.44 0.66 1.33
RaceEthnicity_1Hispanic -0.04 0.18 -0.21 0.84 1.33
RaceEthnicity_1Any other race/ethnicity -0.44 0.23 -1.92 0.06 1.33
ResidenceUrban 0.03 0.12 0.20 0.84 1.08
PoliticalPartyDemocrat 0.40 0.17 2.38 0.02 1.82
PoliticalPartyIndependent 0.12 0.16 0.74 0.46 1.82
PoliticalPartyOther third Party 0.10 0.45 0.23 0.82 1.82
PoliticalPartyNo political party affiliation -0.07 0.19 -0.37 0.71 1.82
PoliticalBelief -0.01 0.04 -0.35 0.73 1.47
Religiosity 0.04 0.03 1.39 0.16 1.20
VaxStatus_2Partially vaccinated 1.18 0.24 4.84 0.00 1.61
VaxStatus_2Fully Vaccinated 0.40 0.14 2.85 0.00 1.61
VaxStatus_2Fully Vaccinated + Booster 0.43 0.18 2.38 0.02 1.61
GroceryMaskUse 0.03 0.06 0.48 0.63 1.59
Prevent_norm -0.07 0.05 -1.26 0.21 1.57
VaccineAttitudes -0.03 0.03 -1.00 0.32 1.73
R_BeliefinScience 0.13 0.04 3.09 0.00 1.43
ConspiracyBeliefs_YesYes 0.29 0.12 2.42 0.02 1.29
Info_Dr_CDC_DoHYes 0.15 0.14 1.09 0.28 1.24
Info_Celeb_MediaYes 0.48 0.20 2.39 0.02 1.04
Standard errors: MLE




Table: Logistic regression predicting dishonesty



15 Analyses: Kids



16 End