CV19_Parents
A Thorpe
09/12/2021
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$DistributionChannel n percent
## anonymous 1752 100.0%
## Total 1752 100.0%2 Timing
2.1 All respondents
Median completion timing for all respondents:
## [1] "9M 24.5S"1/3rd of overall median completion timing for all respondents:
## [1] 188.1667## [1] "3M 8.16669999999999S"Mean completion timing for all respondents:
## [1] "11M 3.98000000000002S"Quickest timing (seems fast; is less than 1/3 of the median time):
## [1] "2M 42S"We decided to exclude all those <1/3 of the median overall time (n=19). Leaving us with 1733.
| gc | n |
|---|---|
| 1 | 1733 |
We also only look here at parents who had a child under age of 18 living with them during the pandemic. Leaving us with 580.
| gc | n |
|---|---|
| 1 | 580 |
2.2 Vaccination status
## data$VaxStatus_Fct n percent
## Not received a COVID-19 vaccine 300 51.7%
## One dose (Pfizer or Moderna) 39 6.7%
## Two doses (Pfizer or Moderna) 148 25.5%
## Two doses AND a booster (Pfizer or Moderna) 65 11.2%
## One dose (J&J) 16 2.8%
## One dose AND a booster (J&J) 12 2.1%
## Total 580 100.0%## data$VaxStatus_1 n percent
## Not vaccinated 300 51.7%
## Vaccinated 280 48.3%
## Total 580 100.0%2.3 Prior covid infection
## data$HadCoV_Fct n percent valid_percent
## No: Pretty sure/certain not had COVID-19 299 51.6% 51.8%
## Yes: Pretty sure/certain had COVID-19 192 33.1% 33.3%
## Not sure 86 14.8% 14.9%
## <NA> 3 0.5% -
## Total 580 100.0% 100.0%2.4 Vax status x infection
| HadCoV_Fct | VaxStatus_1 | count |
|---|---|---|
| Not sure | Not vaccinated | 36 |
| Not sure | Vaccinated | 50 |
| Yes: Pretty sure/certain had COVID-19 | Not vaccinated | 96 |
| Yes: Pretty sure/certain had COVID-19 | Vaccinated | 96 |
| No: Pretty sure/certain not had COVID-19 | Not vaccinated | 168 |
| No: Pretty sure/certain not had COVID-19 | Vaccinated | 131 |
| NA | Vaccinated | 3 |
3 Vaccine and infection qs
3.1 HadCoV_how
## HadCoV_How_Fct n percent valid_percent
## Positive COVID-19 test 117 20.2% 61.3%
## No test: told by HC provider 21 3.6% 11.0%
## No test: assumed based on symptoms/exposure 48 8.3% 25.1%
## 1 + 2 2 0.3% 1.0%
## 1 + 3 1 0.2% 0.5%
## 2 + 3 2 0.3% 1.0%
## 1 + 2 + 3 0 0.0% 0.0%
## <NA> 389 67.1% -
## Total 580 100.0% 100.0%
3.2 Booster intentions
Only shown to those who had 2 doses of moderna or pfizer (n=148) or 1 of the J&J (n=16) with no booster yet. So should be (n=164)
## VaxBoost_Fct n percent valid_percent
## I will definitely not get a booster 4 0.7% 2.4%
## I will probably not get a booster 11 1.9% 6.7%
## I don’t know if I will get a booster 22 3.8% 13.4%
## I will probably get a booster 49 8.4% 29.9%
## I will definitely get a booster 78 13.4% 47.6%
## <NA> 416 71.7% -
## Total 580 100.0% 100.0%
| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Booster intentions | 1 | 164 | 4.134146 | 1.042204 | 4 | 4.310606 | 1.4826 | 1 | 5 | 4 | -1.140016 | 0.5888361 | 0.0813824 |
3.3 Vaccine intentions
Only shown to those who had 0 doses (n=300).
## VaxIntent_Fct n percent valid_percent
## Will definitely not get a vaccine 155 26.7% 51.7%
## Will probably not get a vaccine 43 7.4% 14.3%
## I don't know 57 9.8% 19.0%
## Will probably get a vaccine 24 4.1% 8.0%
## Will definitely get a vaccine 21 3.6% 7.0%
## <NA> 280 48.3% -
## Total 580 100.0% 100.0%
| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vaccine intentions | 1 | 300 | 2.043333 | 1.288535 | 1 | 1.841667 | 0 | 1 | 5 | 4 | 0.9292994 | -0.3542713 | 0.0743936 |
3.4 VaccinexInfection timeline
Only shown to those who had covid and been vaccinated ≥1 dose (n=96).
## WhenHadCoV_Fct n percent valid_percent
## Before I got a COVID-19 vaccine 64 11.0% 66.7%
## After I got a COVID-19 vaccine 25 4.3% 26.0%
## Both before and after I got a COVID-19 vaccine 7 1.2% 7.3%
## <NA> 484 83.4% -
## Total 580 100.0% 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 | 478 | 2.880753 | 1.18180 | 3 | 2.973958 | 1.4826 | 1 | 4 | 3 | -0.5220249 | -1.275843 | 0.0540543 |
| Had had CV19 | 2 | 478 | 2.619247 | 1.20855 | 3 | 2.648438 | 1.4826 | 1 | 4 | 3 | -0.2012401 | -1.517917 | 0.0552778 |
##
## Paired samples t-test
##
## Variables: VaxBnftNoCoV_Num , VaxBnftHadCoV_Num
##
## Descriptive statistics:
## VaxBnftNoCoV_Num VaxBnftHadCoV_Num difference
## mean 2.881 2.619 0.262
## std dev. 1.182 1.209 0.857
##
## Hypotheses:
## null: population means equal for both measurements
## alternative: different population means for each measurement
##
## Test results:
## t-statistic: 6.672
## degrees of freedom: 477
## p-value: <.001
##
## Other information:
## two-sided 95% confidence interval: [0.184, 0.339]
## estimated effect size (Cohen's d): 0.305
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 | 433 | 2.990762 | 1.069314 | 3 | 3.112392 | 1.4826 | 1 | 4 | 3 | -0.6843473 | -0.8372839 | 0.0513880 |
| Had CV19 | 2 | 433 | 2.921478 | 1.028900 | 3 | 3.025937 | 1.4826 | 1 | 4 | 3 | -0.6319679 | -0.7467053 | 0.0494458 |
##
## Paired samples t-test
##
## Variables: VaxSafeNoCoV_Num , VaxSafeHadCoV_Num
##
## Descriptive statistics:
## VaxSafeNoCoV_Num VaxSafeHadCoV_Num difference
## mean 2.991 2.921 0.069
## std dev. 1.069 1.029 0.680
##
## Hypotheses:
## null: population means equal for both measurements
## alternative: different population means for each measurement
##
## Test results:
## t-statistic: 2.119
## degrees of freedom: 432
## p-value: 0.035
##
## Other information:
## two-sided 95% confidence interval: [0.005, 0.134]
## estimated effect size (Cohen's d): 0.102
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 Total
## GenLie_Disagree 411 (70.9%) 169 (29.1%) 580 (100.0%)
## GenLie_Exer 446 (76.9%) 134 (23.1%) 580 (100.0%)
## GenLie_Depres 394 (67.9%) 186 (32.1%) 580 (100.0%)
## GenLie_Drug 442 (76.2%) 138 (23.8%) 580 (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 28 0.005879882
## No 3321 0.697396052
## Yes 1413 0.296724066## measurement
## condition Never Had CV19 No Yes Total
## CoVSymp 0 (0.0%) 244 (42.1%) 336 (57.9%) 580 (100.0%)
## CoVLie_PrvdrScreen 10 (2.6%) 282 (74.4%) 87 (23.0%) 379 (100.0%)
## CoVLie_PublicScreen 9 (2.4%) 295 (77.2%) 78 (20.4%) 382 (100.0%)
## CoVLie_InPerson 9 (2.3%) 292 (76.2%) 82 (21.4%) 383 (100.0%)
## CoVLie_Precau 0 (0.0%) 402 (69.7%) 175 (30.3%) 577 (100.0%)
## CoVLie_HadVax 0 (0.0%) 274 (91.6%) 25 (8.4%) 299 (100.0%)
## CoVLie_Exmpt 0 (0.0%) 267 (89.0%) 33 (11.0%) 300 (100.0%)
## CoVLie_NoVax 0 (0.0%) 234 (83.6%) 46 (16.4%) 280 (100.0%)
## CoVLie_Tested 0 (0.0%) 268 (79.8%) 68 (20.2%) 336 (100.0%)
## AskedToQteen 0 (0.0%) 247 (42.6%) 333 (57.4%) 580 (100.0%)
## CoVLie_Qteen 0 (0.0%) 269 (80.8%) 64 (19.2%) 333 (100.0%)
## CoVBrk_Qteen 0 (0.0%) 247 (74.2%) 86 (25.8%) 333 (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 0 (0.0%) 580 (100.0%) 580 (100.0%)
## ChildU18Lived 0 (0.0%) 580 (100.0%) 580 (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
| .1 | .2 | |
|---|---|---|
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 47 (54.0%) | 87 (100.0%) |
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 45 (51.7%) | 87 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 44 (51.2%) | 86 (100.0%) |
| I didn’t feel very sick. | 40 (46.5%) | 86 (100.0%) |
| I didn’t think I really had COVID-19. | 39 (44.8%) | 87 (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). | 36 (41.4%) | 87 (100.0%) |
| I didn’t want to have to get tested for COVID-19. | 35 (40.7%) | 86 (100.0%) |
| It’s no one else’s business. | 35 (40.2%) | 87 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 32 (36.8%) | 87 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 31 (35.6%) | 87 (100.0%) |
| I didn’t want certain people to know. | 31 (35.6%) | 87 (100.0%) |
| I didn’t think COVID-19 was real. | 29 (33.7%) | 86 (100.0%) |
| I didn’t think it mattered. | 28 (32.2%) | 87 (100.0%) |
| condition | Yes | Total |
7.1.1 Any other reasons?
7.1.2 Reasons for feeling judged
7.2 Public Screening
| .1 | .2 | |
|---|---|---|
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 42 (53.8%) | 78 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 39 (50.0%) | 78 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 39 (50.0%) | 78 (100.0%) |
| I didn’t want to be stopped from doing something I needed to do (e.g., go to the grocery store). | 38 (49.4%) | 77 (100.0%) |
| I didn’t think I really had COVID-19. | 36 (46.2%) | 78 (100.0%) |
| I didn’t feel very sick. | 36 (46.2%) | 78 (100.0%) |
| I didn’t want to have to get tested for COVID-19. | 33 (42.9%) | 77 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 29 (38.2%) | 76 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 29 (37.2%) | 78 (100.0%) |
| I didn’t think COVID-19 was real. | 28 (35.9%) | 78 (100.0%) |
| I didn’t want certain people to know. | 28 (35.9%) | 78 (100.0%) |
| I didn’t think it mattered. | 26 (33.8%) | 77 (100.0%) |
| condition | Yes | Total |
7.2.1 Any other reasons?
7.2.2 Reasons for feeling judged
7.3 In person
| .1 | .2 | |
|---|---|---|
| I wanted to exercise my freedom to do what I want. | 44 (54.3%) | 81 (100.0%) |
| I didn’t feel very sick. | 42 (51.9%) | 81 (100.0%) |
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 42 (51.9%) | 81 (100.0%) |
| I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). | 39 (48.8%) | 80 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 37 (46.2%) | 80 (100.0%) |
| I was bored or lonely. | 35 (43.2%) | 81 (100.0%) |
| It’s no one else’s business. | 34 (42.5%) | 80 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 34 (42.0%) | 81 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 32 (39.5%) | 81 (100.0%) |
| I couldn’t miss work to stay home. | 32 (39.0%) | 82 (100.0%) |
| I didn’t think I really had COVID-19. | 31 (38.3%) | 81 (100.0%) |
| I didn’t think COVID-19 was real. | 30 (37.0%) | 81 (100.0%) |
| I didn’t want to miss an event or other fun activity to stay home. | 30 (37.0%) | 81 (100.0%) |
| I didn’t think it mattered. | 29 (35.8%) | 81 (100.0%) |
| I didn’t want them to be angry at me for exposing them. | 28 (35.0%) | 80 (100.0%) |
| I was confused about the rules for quarantine. | 28 (35.0%) | 80 (100.0%) |
| I didn’t want certain people to know. | 28 (34.6%) | 81 (100.0%) |
| condition | Yes | Total |
7.3.1 Any other reasons?
7.3.2 Reasons for feeling judged
7.4 Precautions
| .1 | .2 | |
|---|---|---|
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 89 (50.9%) | 175 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 86 (49.1%) | 175 (100.0%) |
| I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). | 72 (41.4%) | 174 (100.0%) |
| It’s no one else’s business. | 70 (40.0%) | 175 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 68 (39.1%) | 174 (100.0%) |
| I couldn’t miss work to stay home. | 66 (37.7%) | 175 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 61 (34.9%) | 175 (100.0%) |
| I was bored or lonely. | 57 (32.8%) | 174 (100.0%) |
| I didn’t want to miss an event or other fun activity to stay home. | 56 (32.2%) | 174 (100.0%) |
| I didn’t want them to be angry at me for exposing them. | 55 (31.6%) | 174 (100.0%) |
| I didn’t want certain people to know. | 52 (29.9%) | 174 (100.0%) |
| I didn’t think it mattered. | 47 (26.9%) | 175 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 47 (26.9%) | 175 (100.0%) |
| I didn’t think COVID-19 was real. | 46 (26.3%) | 175 (100.0%) |
| condition | Yes | Total |
7.4.1 Any other reasons?
7.4.2 Reasons for feeling judged
7.5 Vaccinated when not
| .1 | .2 | |
|---|---|---|
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 13 (52.0%) | 25 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 12 (50.0%) | 24 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 12 (48.0%) | 25 (100.0%) |
| It’s no one else’s business. | 12 (48.0%) | 25 (100.0%) |
| I didn’t want certain people to know. | 12 (48.0%) | 25 (100.0%) |
| I didn’t think COVID-19 was real. | 11 (44.0%) | 25 (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). | 10 (40.0%) | 25 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 10 (40.0%) | 25 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 9 (36.0%) | 25 (100.0%) |
| I needed to be able to go to work. | 8 (32.0%) | 25 (100.0%) |
| I didn’t think it mattered. | 5 (20.0%) | 25 (100.0%) |
| I needed to be able to attend college classes. | 3 (12.0%) | 25 (100.0%) |
| condition | Yes | Total |
7.5.1 Any other reasons?
7.5.2 Reasons for feeling judged
7.6 Vaccine exemption
| .1 | .2 | |
|---|---|---|
| I wanted to exercise my freedom to do what I want. | 18 (54.5%) | 33 (100.0%) |
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 17 (51.5%) | 33 (100.0%) |
| It’s no one else’s business. | 16 (48.5%) | 33 (100.0%) |
| I needed to be able to go to work. | 11 (33.3%) | 33 (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). | 10 (30.3%) | 33 (100.0%) |
| I didn’t think it mattered. | 9 (27.3%) | 33 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 9 (27.3%) | 33 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 9 (27.3%) | 33 (100.0%) |
| I didn’t think COVID-19 was real. | 9 (27.3%) | 33 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 9 (27.3%) | 33 (100.0%) |
| I needed to be able to attend college classes. | 5 (15.2%) | 33 (100.0%) |
| I didn’t want certain people to know. | 5 (15.2%) | 33 (100.0%) |
| condition | Yes | Total |
7.6.1 Any other reasons?
7.6.2 Reasons for feeling judged
7.7 Not vaccinated when are
| .1 | .2 | |
|---|---|---|
| I didn’t think it mattered. | 29 (63.0%) | 46 (100.0%) |
| It’s no one else’s business. | 29 (63.0%) | 46 (100.0%) |
| I didn’t want certain people to know. | 26 (56.5%) | 46 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 25 (54.3%) | 46 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 23 (51.1%) | 45 (100.0%) |
| condition | Yes | Total |
7.7.1 Any other reasons?
7.7.2 Reasons for feeling judged
7.8 Avoid test
| .1 | .2 | |
|---|---|---|
| I wanted to exercise my freedom to do what I want. | 40 (58.8%) | 68 (100.0%) |
| I didn’t feel very sick. | 34 (50.0%) | 68 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 31 (45.6%) | 68 (100.0%) |
| I was worried it would hurt or be uncomfortable to get tested. | 30 (44.1%) | 68 (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). | 30 (44.1%) | 68 (100.0%) |
| It’s no one else’s business. | 27 (40.3%) | 67 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 26 (38.2%) | 68 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 24 (35.8%) | 67 (100.0%) |
| I didn’t want certain people to know. | 24 (35.8%) | 67 (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). | 24 (35.8%) | 67 (100.0%) |
| I didn’t think I really had COVID-19. | 23 (33.8%) | 68 (100.0%) |
| I didn’t think COVID-19 was real. | 23 (33.8%) | 68 (100.0%) |
| I thought I couldn’t afford the cost of getting tested. | 21 (31.8%) | 66 (100.0%) |
| I didn’t want the government to have my personal medical information. | 22 (32.4%) | 68 (100.0%) |
| I didn’t think it mattered. | 21 (31.3%) | 67 (100.0%) |
| I didn’t have time to get tested. | 19 (28.4%) | 67 (100.0%) |
| I didn’t know how or where to get tested. | 17 (25.0%) | 68 (100.0%) |
| condition | Yes | Total |
7.8.1 Any other reasons?
7.8.2 Reasons for feeling judged
7.9 Lie Qtine
| .1 | .2 | |
|---|---|---|
| I didn’t feel very sick. | 36 (56.2%) | 64 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 34 (53.1%) | 64 (100.0%) |
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 33 (52.4%) | 63 (100.0%) |
| I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). | 32 (50.0%) | 64 (100.0%) |
| I didn’t think I really had COVID-19. | 31 (48.4%) | 64 (100.0%) |
| I didn’t think COVID-19 was real. | 29 (46.0%) | 63 (100.0%) |
| It’s no one else’s business. | 28 (43.8%) | 64 (100.0%) |
| I was bored or lonely. | 27 (42.2%) | 64 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 26 (40.6%) | 64 (100.0%) |
| I didn’t want certain people to know. | 25 (39.7%) | 63 (100.0%) |
| I didn’t want them to be angry at me for exposing them. | 25 (39.7%) | 63 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 25 (39.1%) | 64 (100.0%) |
| I didn’t think it mattered. | 24 (37.5%) | 64 (100.0%) |
| I couldn’t miss work to stay home. | 24 (37.5%) | 64 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 23 (35.9%) | 64 (100.0%) |
| I didn’t want to miss an event or other fun activity to stay home. | 23 (35.9%) | 64 (100.0%) |
| I was confused about the rules for quarantine. | 20 (31.2%) | 64 (100.0%) |
| condition | Yes | Total |
7.9.1 Any other reasons?
7.9.2 Reasons for feeling judged
7.10 Broke Qtine
| .1 | .2 | |
|---|---|---|
| condition | 2 | Total |
| It’s no one else’s business. | 47 (54.7%) | 86 (100.0%) |
| I couldn’t miss important non-work responsibilities to stay home (e.g., get groceries, care for loved ones). | 45 (52.3%) | 86 (100.0%) |
| I wanted my life to feel “normal” (i.e., how I felt before the COVID-19 pandemic began). | 43 (50.6%) | 85 (100.0%) |
| I wanted to exercise my freedom to do what I want. | 38 (44.7%) | 85 (100.0%) |
| I didn’t feel very sick. | 35 (40.7%) | 86 (100.0%) |
| I didn’t think I really had COVID-19. | 34 (39.5%) | 86 (100.0%) |
| I didn’t think it mattered. | 31 (36.5%) | 85 (100.0%) |
| I couldn’t miss work to stay home. | 28 (33.3%) | 84 (100.0%) |
| I didn’t want to miss an event or other fun activity to stay home. | 28 (32.9%) | 85 (100.0%) |
| I was following guidance from a public figure that I trust (e.g., politicians, scientists, people on the news, celebrities). | 27 (31.8%) | 85 (100.0%) |
| I didn’t want someone to judge or think badly of me. | 27 (31.4%) | 86 (100.0%) |
| I didn’t think COVID-19 was a big deal. | 27 (31.4%) | 86 (100.0%) |
| I was confused about the rules for quarantine. | 27 (31.4%) | 86 (100.0%) |
| I didn’t want certain people to know. | 25 (29.4%) | 85 (100.0%) |
| I was bored or lonely. | 23 (26.7%) | 86 (100.0%) |
| I didn’t think COVID-19 was real. | 16 (19.0%) | 84 (100.0%) |
7.10.1 Any other reasons?
7.10.2 Reasons for feeling judged
7.11 In person (kid)
| .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)
| .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)
| .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)
| .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)
| .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)
| .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)
| .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 28 4.8% 11.0%
## No 213 36.7% 83.5%
## Yes 14 2.4% 5.5%
## <NA> 325 56.0% -
## Total 580 100.0% 100.0%## data$AnonVax_Chr n percent valid_percent
## No 234 40.3% 83.6%
## Yes 46 7.9% 16.4%
## <NA> 300 51.7% -
## Total 580 100.0% 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 | 545 | 2.622018 | 1.167998 | 3 | 2.652174 | 1.4826 | 1 | 4 | 3 | -0.1324582 | -1.463185 | 0.0500316 |
| Outdoor (w/friends/family) | 2 | 559 | 2.262970 | 1.197626 | 2 | 2.204900 | 1.4826 | 1 | 4 | 3 | 0.3035071 | -1.461130 | 0.0506542 |
| At work | 3 | 450 | 2.866667 | 1.190160 | 3 | 2.958333 | 1.4826 | 1 | 4 | 3 | -0.4541534 | -1.369381 | 0.0561047 |
| Grocery store | 4 | 569 | 2.813708 | 1.121378 | 3 | 2.890591 | 1.4826 | 1 | 4 | 3 | -0.3479035 | -1.301099 | 0.0470106 |
| Public transport | 5 | 368 | 2.904891 | 1.194528 | 3 | 3.003378 | 1.4826 | 1 | 4 | 3 | -0.5632037 | -1.264752 | 0.0622691 |
## $total
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd
## 0.9050516 0.9055763 0.8968419 0.6573126 9.590559 0.006314074 2.656362 1.009163
## median_r
## 0.6558116## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 579 2.66 1.01 2.75 2.69 1.36 1 4 3 -0.16 -1.24 0.048.3 Mask + vax norm
| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mask compared to others | 1 | 578 | 3.160900 | 1.213755 | 3 | 3.200431 | 1.4826 | 1 | 5 | 4 | -0.0829389 | -0.7745168 | 0.0504855 |
| Other vax | 2 | 580 | 3.012069 | 1.078055 | 3 | 2.987069 | 1.4826 | 1 | 5 | 4 | 0.0834394 | -0.7821660 | 0.0447638 |
8.4 Mandates
## data$MaskMandateSchools n percent
## No 173 29.8%
## Yes 345 59.5%
## Unsure 62 10.7%
## Total 580 100.0%## data$VaxMandateWork n percent valid_percent
## Not currently employed 192 33.1% 38.9%
## No 215 37.1% 43.5%
## Yes: Employer requires vaccination 87 15.0% 17.6%
## Yes: Employed requires vaccination or test 0 0.0% 0.0%
## <NA> 86 14.8% -
## Total 580 100.0% 100.0%## data$VaxRequireOther n percent
## No 407 70.2%
## Yes 173 29.8%
## Total 580 100.0%
8.5 Exemptions
## data$MedExempt n percent
## No 500 86.2%
## Yes 80 13.8%
## Total 580 100.0%## data$ReligExempt n percent
## No 495 85.3%
## Yes 85 14.7%
## Total 580 100.0%
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 1 578 35.88 8.79 35 35.42 8.9 18 70 52 0.48 0.17 0.37
9.2 Gender
## data$Gender_Model n percent valid_percent
## Female 403 69.5% 70.2%
## Male 171 29.5% 29.8%
## <NA> 6 1.0% -
## Total 580 100.0% 100.0%## data$Gender_CHR n percent
## Female 403 69.5%
## Male 171 29.5%
## Non-binary/third gender 1 0.2%
## Prefer to not say 1 0.2%
## Prefer to self-describe 1 0.2%
## Transgender man /Transman 3 0.5%
## Total 580 100.0%9.3 Race/Ethnicity
## data$NonHispanicWhite_Fct n percent valid_percent
## No 185 31.9% 32.2%
## Yes 389 67.1% 67.8%
## <NA> 6 1.0% -
## Total 580 100.0% 100.0%## Race_ovr n percent
## Hispanic - American Indian or Alaskan Native 3 0.5%
## Hispanic - Asian or Asian American 2 0.3%
## Hispanic - Black or African American 11 1.9%
## Hispanic - Multiple 4 0.7%
## Hispanic - Other 14 2.4%
## Hispanic - White or European American 44 7.6%
## No response - White or European American 1 0.2%
## Non-hispanic - American Indian or Alaskan Native 5 0.9%
## Non-hispanic - Asian or Asian American 14 2.4%
## Non-hispanic - Black or African American 86 14.8%
## Non-hispanic - Multiple 5 0.9%
## Non-hispanic - Other 2 0.3%
## Non-hispanic - White or European American 389 67.1%
## Total 580 100.0%## Race_ovr1 n percent
## Hispanic 78 13.4%
## No response - White or European American 1 0.2%
## Non-hispanic - American Indian or Alaskan Native 5 0.9%
## Non-hispanic - Asian or Asian American 14 2.4%
## Non-hispanic - Black or African American 86 14.8%
## Non-hispanic - Multiple 5 0.9%
## Non-hispanic - Other 2 0.3%
## Non-hispanic - White or European American 389 67.1%
## Total 580 100.0%9.4 Education
How participants best described their highest level of education
## data$Education_Fct n percent
## None 1 0.2%
## Elementary school 1 0.2%
## Some high school but no diploma 35 6.0%
## High school (Diploma or GED) 177 30.5%
## Some college, but no degree 127 21.9%
## Trade school 47 8.1%
## Bachelor’s degree (BS, BA, etc.) 144 24.8%
## Master’s degree (MA, MPH, etc.) 44 7.6%
## Doctoral/Professional degree (PhD, MD, etc.) 3 0.5%
## No response 1 0.2%
## Total 580 100.0%9.5 Rural/Urban
How participants best described the place where they live
## data$UrbanRural_Fct n percent valid_percent
## Rural 162 27.9% 28.0%
## Small (less than 100,000) 89 15.3% 15.4%
## Suburban near large city 175 30.2% 30.2%
## Mid sized city (100,000 to 1million) 48 8.3% 8.3%
## large city more than 1million 102 17.6% 17.6%
## Other 3 0.5% 0.5%
## <NA> 1 0.2% -
## Total 580 100.0% 100.0%9.6 States/Regions
Looking at regions based on states.
9.6.1 Region
## data$State_Region n percent valid_percent
## Midwest 123 21.2% 21.4%
## Northeast 108 18.6% 18.8%
## South 281 48.4% 48.8%
## West 64 11.0% 11.1%
## <NA> 4 0.7% -
## Total 580 100.0% 100.0%9.6.2 State
10 Individual differences
10.1 Politics
## data$Political_Fct n percent
## Democrat 208 35.9%
## Republican 167 28.8%
## Independent 130 22.4%
## Liberal third party 10 1.7%
## Conservative third party 2 0.3%
## No political party affiliation 63 10.9%
## Total 580 100.0%
## data$PoliticalSocial_Fct n percent
## Very liberal 64 11.0%
## Liberal 61 10.5%
## Slightly liberal 46 7.9%
## Moderate 260 44.8%
## Slightly conservative 37 6.4%
## Conservative 67 11.6%
## Very conservative 45 7.8%
## Total 580 100.0%| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Political views | 1 | 580 | 3.906897 | 1.647195 | 4 | 3.911638 | 1.4826 | 1 | 7 | 6 | -0.0134031 | -0.4553139 | 0.068396 |
10.2 Religion
## data$Religiosity_Fct n percent
## Not at all religious 120 20.7%
## 2 43 7.4%
## 3 48 8.3%
## 4 98 16.9%
## 5 108 18.6%
## 6 70 12.1%
## Very religious 93 16.0%
## Total 580 100.0%| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Religiosity | 1 | 580 | 4.056897 | 2.087516 | 4 | 4.071121 | 2.9652 | 1 | 7 | 6 | -0.1675041 | -1.241419 | 0.0866794 |
## data$ReligiousViews_Fct n percent
## Very traditional 52 9.0%
## 2 58 10.0%
## 3 65 11.2%
## 4 103 17.8%
## 5 75 12.9%
## 6 41 7.1%
## Very progressive 76 13.1%
## I'm not religious at all 110 19.0%
## Total 580 100.0%| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Religious views | 1 | 470 | 4.102128 | 1.894385 | 4 | 4.12766 | 1.4826 | 1 | 7 | 6 | 0.0018236 | -1.020117 | 0.0873815 |
10.3 Vax general
## data$VaxGeneral_Fct n percent valid_percent
## Very negative 68 11.7% 11.7%
## 2 31 5.3% 5.4%
## 3 50 8.6% 8.6%
## 4 113 19.5% 19.5%
## 5 90 15.5% 15.5%
## 6 66 11.4% 11.4%
## Very positive 161 27.8% 27.8%
## <NA> 1 0.2% -
## Total 580 100.0% 100.0%| vars | n | mean | sd | median | trimmed | mad | min | max | range | skew | kurtosis | se | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vax General | 1 | 579 | 4.671848 | 2.006758 | 5 | 4.836559 | 2.9652 | 1 | 7 | 6 | -0.4351401 | -0.9455664 | 0.083398 |
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
## 0.9279774 0.9280844 0.9177858 0.6826268 12.90519 0.004637504 4.133333 1.474365
## median_r
## 0.6684092## $sample.size
## [1] 577
##
## $number.of.items
## [1] 6
##
## $alpha
## [1] 0.9285853Overall descriptives
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 580 4.13 1.47 4 4.15 1.48 1 7 6 -0.12 -0.41 0.06## vars n mean sd median trimmed mad min max range skew
## beliefinscience_1 1 580 4.23 1.72 4 4.26 1.48 1 7 6 -0.19
## beliefinscience_2 2 579 4.17 1.64 4 4.19 1.48 1 7 6 -0.17
## beliefinscience_3 3 579 4.04 1.73 4 4.06 1.48 1 7 6 -0.11
## beliefinscience_4 4 579 4.15 1.78 4 4.19 1.48 1 7 6 -0.18
## beliefinscience_5 5 580 4.06 1.72 4 4.07 1.48 1 7 6 -0.09
## beliefinscience_6 6 580 4.14 1.73 4 4.15 1.48 1 7 6 -0.12
## kurtosis se
## beliefinscience_1 -0.75 0.07
## beliefinscience_2 -0.59 0.07
## beliefinscience_3 -0.78 0.07
## beliefinscience_4 -0.85 0.07
## beliefinscience_5 -0.80 0.07
## beliefinscience_6 -0.81 0.07Reported 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.
## $total
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd
## 0.8840193 0.8838441 0.8775973 0.5591191 7.609118 0.007492164 2.669253 1.006953
## median_r
## 0.5873446Overall descriptives
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 580 2.67 1.01 2.83 2.66 0.99 1 5 4 0.01 -0.63 0.04## vars n mean sd median trimmed mad min max range skew
## conspiracy_1 1 580 3.02 1.29 3 3.02 1.48 1 5 4 -0.19
## conspiracy_2 2 580 2.85 1.27 3 2.82 1.48 1 5 4 -0.09
## conspiracy_3 3 580 2.87 1.30 3 2.84 1.48 1 5 4 -0.06
## conspiracy_4 4 580 2.40 1.29 2 2.29 1.48 1 5 4 0.37
## conspiracy_5 5 580 2.11 1.26 2 1.96 1.48 1 5 4 0.73
## conspiracy_6 6 580 2.76 1.19 3 2.74 1.48 1 5 4 -0.02
## kurtosis se
## conspiracy_1 -1.03 0.05
## conspiracy_2 -1.06 0.05
## conspiracy_3 -1.08 0.05
## conspiracy_4 -1.08 0.05
## conspiracy_5 -0.70 0.05
## conspiracy_6 -0.84 0.05Reported belief in each conspiracy theory item
10.6 Info Sources
From where do you get guidance regarding COVID-19?
## measurement
## condition No Yes Total
## My doctor 197 (34.3%) 378 (65.7%) 575 (100.0%)
## Friends 318 (55.2%) 258 (44.8%) 576 (100.0%)
## Family 261 (45.2%) 317 (54.8%) 578 (100.0%)
## Local Health Dept 263 (45.7%) 313 (54.3%) 576 (100.0%)
## CDC 240 (41.7%) 335 (58.3%) 575 (100.0%)
## Google 284 (49.4%) 291 (50.6%) 575 (100.0%)
## A certain politician 522 (93.4%) 37 (6.6%) 559 (100.0%)
## A certain celebrity 528 (94.0%) 34 (6.0%) 562 (100.0%)
## A certain media personality 503 (90.0%) 56 (10.0%) 559 (100.0%)10.6.1 Politician
10.6.2 Celebrity
10.6.3 Media personality
11 Checking for DV
11.1 COVID Lying questions only
We can see below that 254 (44%) lied at least once to one of the LYING COVID questions and 326 (56%) did not lie at all on these questions.
(Provider screen, public screen, in-person, precautions, had vax, not had vax, need for quarantine)
## data$TimesLied n percent
## 0 326 56.2%
## 1 125 21.6%
## 2 47 8.1%
## 3 31 5.3%
## 4 24 4.1%
## 5 13 2.2%
## 6 14 2.4%
## Total 580 100.0%Here we can see that respondents reported lying to 19% (±27%) 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 1 580 0.19 0.27 0 0.13 0 0 1 1 1.43 1.14 0.01
## data$Avg_TimesLied n percent
## 0 326 56.2%
## 0.166666666666667 53 9.1%
## 0.2 32 5.5%
## 0.25 1 0.2%
## 0.333333333333333 51 8.8%
## 0.4 14 2.4%
## 0.5 35 6.0%
## 0.6 8 1.4%
## 0.666666666666667 25 4.3%
## 0.75 1 0.2%
## 0.8 4 0.7%
## 0.833333333333333 12 2.1%
## 1 18 3.1%
## Total 580 100.0%
Here we can see that respondents who lied at least once reported lying to 43% (±25%) of the questions on average with the median 33%.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 254 0.43 0.25 0.33 0.4 0.25 0.17 1 0.83 0.82 -0.34 0.02
## data_liars$Avg_TimesLied n percent
## 0.166666666666667 53 20.9%
## 0.2 32 12.6%
## 0.25 1 0.4%
## 0.333333333333333 51 20.1%
## 0.4 14 5.5%
## 0.5 35 13.8%
## 0.6 8 3.1%
## 0.666666666666667 25 9.8%
## 0.75 1 0.4%
## 0.8 4 1.6%
## 0.833333333333333 12 4.7%
## 1 18 7.1%
## Total 254 100.0%
11.2 All COVID adult questions
We can see below that 287 (49.5%) lied at least once to one of the LYING + NON-ADHERENCE COVID questions and 293 (50.5%) 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$TimesLied_all n percent
## 0 293 50.5%
## 1 130 22.4%
## 2 52 9.0%
## 3 39 6.7%
## 4 23 4.0%
## 5 17 2.9%
## 6 11 1.9%
## 7 3 0.5%
## 8 12 2.1%
## Total 580 100.0%Here we can see that respondents reported lying to 19% (±26%) of the questions on average with the median and mode both 0%. We can also see the data are highly skewed with a long tail.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 580 0.19 0.26 0 0.14 0 0 1 1 1.42 1.28 0.01
## data$Avg_TimesLied_all n percent
## 0 293 50.5%
## 0.125 52 9.0%
## 0.142857142857143 2 0.3%
## 0.166666666666667 33 5.7%
## 0.2 3 0.5%
## 0.25 50 8.6%
## 0.285714285714286 3 0.5%
## 0.333333333333333 9 1.6%
## 0.375 22 3.8%
## 0.4 3 0.5%
## 0.428571428571429 2 0.3%
## 0.5 52 9.0%
## 0.6 3 0.5%
## 0.625 14 2.4%
## 0.666666666666667 3 0.5%
## 0.714285714285714 1 0.2%
## 0.75 14 2.4%
## 0.8 1 0.2%
## 0.833333333333333 2 0.3%
## 0.875 3 0.5%
## 1 15 2.6%
## Total 580 100.0%
Here we can see that respondents who lied at least once reported lying to 38% (±24%) of the questions on average with the median 33%.
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 287 0.38 0.24 0.33 0.35 0.25 0.12 1 0.88 0.94 0.09 0.01
## data_liars_all$Avg_TimesLied_all n percent
## 0.125 52 18.1%
## 0.142857142857143 2 0.7%
## 0.166666666666667 33 11.5%
## 0.2 3 1.0%
## 0.25 50 17.4%
## 0.285714285714286 3 1.0%
## 0.333333333333333 9 3.1%
## 0.375 22 7.7%
## 0.4 3 1.0%
## 0.428571428571429 2 0.7%
## 0.5 52 18.1%
## 0.6 3 1.0%
## 0.625 14 4.9%
## 0.666666666666667 3 1.0%
## 0.714285714285714 1 0.3%
## 0.75 14 4.9%
## 0.8 1 0.3%
## 0.833333333333333 2 0.7%
## 0.875 3 1.0%
## 1 15 5.2%
## Total 287 100.0%
12 EVCI
The reliability of the Emory vaccine items is good. Cronbach’s Alpha is .92.
## $total
## raw_alpha std.alpha G6(smc) average_r S/N ase mean
## 0.9176905 0.9181734 0.9212983 0.5837878 11.22096 0.005208383 1.794212
## sd median_r
## 0.7725635 0.5601648Overall descriptives
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 580 14.34 6.18 15 14.86 5.93 0 24 24 -0.66 -0.1 0.26Vaccine confidence for each item
Trust: Scientists involved in developingand testing new vaccines
Trust: Federal government agencies responsible formonitoring the safety of recommended vaccines
Trust: Centers for Disease Control and Prevention,the federal government agency that makesrecommendations about who should getlicensed vaccines
Trust: Food & Drug Administration, the federalgovernment agency that licenses vaccines
Confidence: Vaccines recommendedchildren are safe.
Confidence: My doctor/nurse is a reliableof trustworthy vaccine information
**Confidence: My doctor/nurse has my best healthinterests mind when making vaccine*
It is important for everyone to get thevaccines for their child(ren)
There were also two items we added
Vaccines recommended for adults are safe
It is important for everyone to get the recommended vaccines for them
13 New plots
14 Analyses: Adult
14.1 Predicting dishonesty
##
## 1 2 3 4 5
## 107 80 162 157 74## data$TimesBelievedCT n percent
## 0 243 41.9%
## 1 86 14.8%
## 2 63 10.9%
## 3 63 10.9%
## 4 54 9.3%
## 5 41 7.1%
## 6 30 5.2%
## Total 580 100.0%| Dishonesty | |||
|---|---|---|---|
| Predictors | Odds Ratios | CI | p value |
| (Intercept) | 0.33 | 0.08 – 1.38 | 0.130 |
| age_cat35-44 | 1.40 | 0.81 – 2.46 | 0.231 |
| age_cat25-34 | 1.82 | 1.03 – 3.27 | 0.041 |
| age_cat18-24 | 3.18 | 1.37 – 7.61 | 0.008 |
| Education [High School, College, or Trade] | 1.43 | 0.63 – 3.40 | 0.401 |
| Education [Bachelors or More] | 1.69 | 0.70 – 4.27 | 0.249 |
| RaceEthnicity 1 [Non-Hispanic black] | 0.81 | 0.44 – 1.48 | 0.490 |
| RaceEthnicity 1 [Hispanic] | 1.51 | 0.84 – 2.74 | 0.171 |
| RaceEthnicity 1 [Any other race/ethnicity] | 0.53 | 0.21 – 1.27 | 0.162 |
| Residence [Urban] | 0.98 | 0.64 – 1.48 | 0.907 |
| PoliticalParty [Democrat] | 1.76 | 1.01 – 3.11 | 0.048 |
| PoliticalParty [Independent] | 1.01 | 0.59 – 1.72 | 0.965 |
| PoliticalParty [Other third Party] | 0.83 | 0.21 – 3.30 | 0.790 |
| PoliticalParty [No political party affiliation] | 0.45 | 0.21 – 0.89 | 0.025 |
| PoliticalBelief | 0.98 | 0.86 – 1.12 | 0.771 |
| Religiosity | 0.98 | 0.89 – 1.07 | 0.635 |
| VaxStatus 2 [Partially vaccinated] | 4.90 | 2.06 – 12.81 | 0.001 |
| VaxStatus 2 [Fully Vaccinated] | 1.63 | 1.02 – 2.62 | 0.043 |
| VaxStatus 2 [Fully Vaccinated + Booster] | 2.49 | 1.33 – 4.73 | 0.005 |
| GroceryMaskUse | 0.98 | 0.80 – 1.21 | 0.879 |
| Prevent norm | 0.86 | 0.71 – 1.03 | 0.099 |
| VaccineAttitudes | 0.94 | 0.83 – 1.05 | 0.258 |
| R BeliefinScience | 1.20 | 1.03 – 1.39 | 0.017 |
| ConspiracyBeliefs Yes [Yes] | 0.90 | 0.60 – 1.37 | 0.631 |
| Info Dr CDC DoH [Yes] | 1.03 | 0.63 – 1.69 | 0.892 |
| Info Celeb Media [Yes] | 2.62 | 1.40 – 5.10 | 0.003 |
| Observations | 560 | ||
| R2 Tjur | 0.136 | ||
| Observations | 560 (20 missing obs. deleted) |
| Dependent variable | Dishonesty |
| Type | Generalized linear model |
| Family | binomial |
| Link | logit |
| 𝛘²(25) | 82.43 |
| Pseudo-R² (Cragg-Uhler) | 0.18 |
| Pseudo-R² (McFadden) | 0.11 |
| AIC | 745.72 |
| BIC | 858.24 |
| Est. | S.E. | z val. | p | VIF | |
|---|---|---|---|---|---|
| (Intercept) | -1.12 | 0.74 | -1.51 | 0.13 | NA |
| age_cat35-44 | 0.34 | 0.28 | 1.20 | 0.23 | 1.27 |
| age_cat25-34 | 0.60 | 0.29 | 2.05 | 0.04 | 1.27 |
| age_cat18-24 | 1.16 | 0.44 | 2.65 | 0.01 | 1.27 |
| EducationHigh School, College, or Trade | 0.36 | 0.43 | 0.84 | 0.40 | 1.35 |
| EducationBachelors or More | 0.53 | 0.46 | 1.15 | 0.25 | 1.35 |
| RaceEthnicity_1Non-Hispanic black | -0.21 | 0.31 | -0.69 | 0.49 | 1.54 |
| RaceEthnicity_1Hispanic | 0.41 | 0.30 | 1.37 | 0.17 | 1.54 |
| RaceEthnicity_1Any other race/ethnicity | -0.63 | 0.45 | -1.40 | 0.16 | 1.54 |
| ResidenceUrban | -0.02 | 0.21 | -0.12 | 0.91 | 1.10 |
| PoliticalPartyDemocrat | 0.57 | 0.29 | 1.98 | 0.05 | 2.06 |
| PoliticalPartyIndependent | 0.01 | 0.27 | 0.04 | 0.97 | 2.06 |
| PoliticalPartyOther third Party | -0.18 | 0.69 | -0.27 | 0.79 | 2.06 |
| PoliticalPartyNo political party affiliation | -0.81 | 0.36 | -2.23 | 0.03 | 2.06 |
| PoliticalBelief | -0.02 | 0.07 | -0.29 | 0.77 | 1.42 |
| Religiosity | -0.02 | 0.05 | -0.48 | 0.63 | 1.25 |
| VaxStatus_2Partially vaccinated | 1.59 | 0.46 | 3.45 | 0.00 | 1.67 |
| VaxStatus_2Fully Vaccinated | 0.49 | 0.24 | 2.02 | 0.04 | 1.67 |
| VaxStatus_2Fully Vaccinated + Booster | 0.91 | 0.32 | 2.82 | 0.00 | 1.67 |
| GroceryMaskUse | -0.02 | 0.11 | -0.15 | 0.88 | 1.70 |
| Prevent_norm | -0.16 | 0.09 | -1.65 | 0.10 | 1.59 |
| VaccineAttitudes | -0.07 | 0.06 | -1.13 | 0.26 | 1.67 |
| R_BeliefinScience | 0.18 | 0.07 | 2.38 | 0.02 | 1.52 |
| ConspiracyBeliefs_YesYes | -0.10 | 0.21 | -0.48 | 0.63 | 1.32 |
| Info_Dr_CDC_DoHYes | 0.03 | 0.25 | 0.14 | 0.89 | 1.22 |
| Info_Celeb_MediaYes | 0.96 | 0.33 | 2.94 | 0.00 | 1.09 |
| Standard errors: MLE |
Table: Logistic regression predicting dishonesty
14.2 Beliefs x vax status
15 Analyses: Kids
15.1 Predicting dishonesty
We can see below that 150 (26%) lied at least once to one of the seven LYING COVID questions about their children and 430 (74%) did not lie at all on these questions.
(To someone in-person, avoided tested, lied about quarantine, broke quarantine, lied about kids age, said kid not vaccinated when they are, said kid vaccinated when they are not)
## data_Kid$TimesLied_Kid n percent
## 0 430 74.1%
## 1 75 12.9%
## 2 22 3.8%
## 3 19 3.3%
## 4 13 2.2%
## 5 5 0.9%
## 6 13 2.2%
## 7 3 0.5%
## Total 580 100.0%Here we can see that respondents reported lying to 12% (±2%) 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 1 580 0.12 0.25 0 0.05 0 0 1 1 2.32 4.57 0.01
| Dishonesty Kid | |||
|---|---|---|---|
| Predictors | Odds Ratios | CI | p value |
| (Intercept) | 0.12 | 0.02 – 0.63 | 0.014 |
| age_cat130-39 | 0.96 | 0.58 – 1.61 | 0.885 |
| age_cat118-29 | 2.10 | 1.13 – 3.93 | 0.019 |
| Education [High School, College, or Trade] | 1.43 | 0.55 – 4.25 | 0.490 |
| Education [Bachelors or More] | 1.83 | 0.65 – 5.83 | 0.272 |
| RaceEthnicity 1 [Non-Hispanic black] | 0.70 | 0.34 – 1.39 | 0.317 |
| RaceEthnicity 1 [Hispanic] | 1.63 | 0.87 – 3.01 | 0.120 |
| RaceEthnicity 1 [Any other race/ethnicity] | 0.59 | 0.18 – 1.64 | 0.346 |
| Residence [Urban] | 1.14 | 0.70 – 1.88 | 0.591 |
| PoliticalParty [Democrat] | 0.94 | 0.49 – 1.81 | 0.860 |
| PoliticalParty [Independent] | 1.03 | 0.56 – 1.90 | 0.918 |
| PoliticalParty [Other third Party] | 1.29 | 0.30 – 5.33 | 0.723 |
| PoliticalParty [No political party affiliation] | 0.68 | 0.29 – 1.51 | 0.359 |
| PoliticalBelief | 0.84 | 0.73 – 0.98 | 0.023 |
| Religiosity | 1.05 | 0.94 – 1.18 | 0.388 |
|
ChildVaxed Fct [No (None of my children who are old enough have got one)] |
1.94 | 1.10 – 3.44 | 0.022 |
|
ChildVaxed Fct [Yes (Some but not all who are old enough have)] |
4.90 | 2.51 – 9.68 | <0.001 |
| ChildVaxed Fct [Yes (All who are old enough have)] | 1.80 | 0.96 – 3.37 | 0.065 |
| GroceryMaskUse | 0.84 | 0.66 – 1.06 | 0.135 |
| Prevent norm | 0.91 | 0.74 – 1.13 | 0.401 |
| VaccineAttitudes | 1.00 | 0.88 – 1.13 | 0.999 |
| R BeliefinScience | 1.27 | 1.07 – 1.51 | 0.008 |
| ConspiracyBeliefs Yes [Yes] | 1.12 | 0.69 – 1.84 | 0.644 |
| Info Dr CDC DoH [Yes] | 0.85 | 0.49 – 1.53 | 0.588 |
| Info Celeb Media [Yes] | 2.36 | 1.24 – 4.47 | 0.009 |
| Observations | 560 | ||
| R2 Tjur | 0.141 | ||
| Observations | 560 (20 missing obs. deleted) |
| Dependent variable | Dishonesty_Kid |
| Type | Generalized linear model |
| Family | binomial |
| Link | logit |
| 𝛘²(24) | 74.41 |
| Pseudo-R² (Cragg-Uhler) | 0.18 |
| Pseudo-R² (McFadden) | 0.12 |
| AIC | 603.19 |
| BIC | 711.39 |
| Est. | S.E. | z val. | p | VIF | |
|---|---|---|---|---|---|
| (Intercept) | -2.14 | 0.87 | -2.46 | 0.01 | NA |
| age_cat130-39 | -0.04 | 0.26 | -0.14 | 0.88 | 1.48 |
| age_cat118-29 | 0.74 | 0.32 | 2.34 | 0.02 | 1.48 |
| EducationHigh School, College, or Trade | 0.35 | 0.51 | 0.69 | 0.49 | 1.42 |
| EducationBachelors or More | 0.61 | 0.55 | 1.10 | 0.27 | 1.42 |
| RaceEthnicity_1Non-Hispanic black | -0.36 | 0.36 | -1.00 | 0.32 | 1.52 |
| RaceEthnicity_1Hispanic | 0.49 | 0.32 | 1.55 | 0.12 | 1.52 |
| RaceEthnicity_1Any other race/ethnicity | -0.52 | 0.56 | -0.94 | 0.35 | 1.52 |
| ResidenceUrban | 0.13 | 0.25 | 0.54 | 0.59 | 1.09 |
| PoliticalPartyDemocrat | -0.06 | 0.33 | -0.18 | 0.86 | 2.08 |
| PoliticalPartyIndependent | 0.03 | 0.31 | 0.10 | 0.92 | 2.08 |
| PoliticalPartyOther third Party | 0.26 | 0.73 | 0.35 | 0.72 | 2.08 |
| PoliticalPartyNo political party affiliation | -0.38 | 0.41 | -0.92 | 0.36 | 2.08 |
| PoliticalBelief | -0.17 | 0.08 | -2.27 | 0.02 | 1.40 |
| Religiosity | 0.05 | 0.06 | 0.86 | 0.39 | 1.28 |
| ChildVaxed_FctNo (None of my children who are old enough have got one) | 0.66 | 0.29 | 2.29 | 0.02 | 1.51 |
| ChildVaxed_FctYes (Some but not all who are old enough have) | 1.59 | 0.34 | 4.63 | 0.00 | 1.51 |
| ChildVaxed_FctYes (All who are old enough have) | 0.59 | 0.32 | 1.85 | 0.06 | 1.51 |
| GroceryMaskUse | -0.18 | 0.12 | -1.49 | 0.14 | 1.63 |
| Prevent_norm | -0.09 | 0.11 | -0.84 | 0.40 | 1.61 |
| VaccineAttitudes | 0.00 | 0.06 | 0.00 | 1.00 | 1.47 |
| R_BeliefinScience | 0.24 | 0.09 | 2.64 | 0.01 | 1.51 |
| ConspiracyBeliefs_YesYes | 0.12 | 0.25 | 0.46 | 0.64 | 1.32 |
| Info_Dr_CDC_DoHYes | -0.16 | 0.29 | -0.54 | 0.59 | 1.23 |
| Info_Celeb_MediaYes | 0.86 | 0.33 | 2.62 | 0.01 | 1.12 |
| Standard errors: MLE |
## [1] 0.885 0.019 0.490 0.272 0.317 0.120 0.346 0.591 0.860 0.918 0.723 0.359
## [13] 0.023 0.388 0.022 0.000 0.065 0.135 0.401 0.999 0.008 0.644 0.588 0.009## [1] 1.000 0.409 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
## [13] 0.445 1.000 0.440 0.000 1.000 1.000 1.000 1.000 0.190 1.000 1.000 0.191