Animal welfare survey analysis
2024-08-23
First check demographics and attention checks
-# who didn’t select “don’t know” for “Don’t know attention check”
-# who didn’t select “somewhat unsupportive” for “Somewhat unsupportive attention check”
-remove those who got both wrong above
## N before Don't know attention check: 2113## N after Don't know attention check: 2074## N dropped from attention check: 39report % Female and % Male in “Gender”
| Var1 | Freq |
|---|---|
| Female | 49.9750623 |
| Male | 47.8304239 |
| Non-binary / third gender | 1.3965087 |
| Prefer not to say | 0.4987531 |
| Prefer to self-describe | 0.2992519 |
report % Democrat, % Republican, % Independent in “Political Affiliation”
| Var1 | Freq |
|---|---|
| Democrat | 41.267465 |
| Independent | 28.892216 |
| Republican | 23.702595 |
| Something else/no party | 6.137725 |
report % $100,000-$149,999 or $150,000 or more in “Income”
| Var1 | Freq |
|---|---|
| $100,000-$149,999 | 15.261845 |
| $150,000 or more | 9.975062 |
| $25,000-$49,999 | 24.039900 |
| $50,000-$74,999 | 20.249377 |
| $75,000-$99,999 | 14.513716 |
| Less than $25,000 | 13.865337 |
| Prefer not to say | 2.094763 |
## [1] 62500## [1] 83602.9report % 18-24 years old, % 25-34 years old, and %65+ years old in “Age”
| Var1 | Freq |
|---|---|
| 18-24 years old | 11.82045 |
| 25-34 years old | 18.25436 |
| 35-44 years old | 17.20698 |
| 45-54 years old | 15.66085 |
| 55-64 years old | 25.23691 |
| 65+ years old | 11.82045 |
##
## Median age: 50##
## Mean age: 46.08828report % Bachelors degree or Graduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.) in “education”
| Var1 | Freq |
|---|---|
| Associates or technical degree | 12.80 |
| Bachelor’s degree | 34.00 |
| Graduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.) | 16.25 |
| High school diploma or GED | 14.30 |
| Prefer not to say | 0.30 |
| Some college, but no degree | 21.30 |
| Some high school or less | 1.05 |
-Bar figure with % very or extremely concerned for all the “Concern about….” questions together, preferably with the label just the type of animal
## [1] "Concern about pets" "Concern about native wildlife"
## [3] "Concern about invasive wildlife" "Concern about farmed animals"
## [5] "Concern about research animals" "Concern about zoo animals"
## [7] "Concern about show/rodeo animals"## Loading required package: viridisLite
mean concern for each of the “Concern about…” questions
## # A tibble: 7 × 4
## Question `mean(as.numeric(Response))` ci.lb ci.ub
## <chr> <dbl> <dbl> <dbl>
## 1 Farmed Animals 3.48 3.43 3.53
## 2 Invasive Wildlife 2.75 2.70 2.81
## 3 Native Wildlife 3.51 3.46 3.56
## 4 Pets 3.52 3.46 3.58
## 5 Research Animals 3.77 3.72 3.82
## 6 Show/Rodeo Animals 3.76 3.71 3.82
## 7 Zoo Animals 3.63 3.58 3.68-Bar figure with % very or extremely important for all the “Importance of” questions together, preferably with the label just the type of animal
## [1] "Importance of programs for pets"
## [2] "Importance of programs for native wildlife"
## [3] "Importance of programs for invasive wildlife"
## [4] "Importance of programs for farmed animals"
## [5] "Importance of programs for research animals"
## [6] "Importance of programs for zoo animals"
## [7] "Importance of programs for show/rodeo animals"
mean importance for each of the “Importance of” questions
## # A tibble: 7 × 4
## Question mean(as.numeric(Resp…¹ ci.lb ci.ub
## <chr> <dbl> <dbl> <dbl>
## 1 Importance of programs for farmed animals 3.88 3.84 3.93
## 2 Importance of programs for invasive wildli… 3.08 3.02 3.14
## 3 Importance of programs for native wildlife 3.90 3.85 3.95
## 4 Importance of programs for pets 3.87 3.82 3.92
## 5 Importance of programs for research animals 4.04 3.99 4.09
## 6 Importance of programs for show/rodeo anim… 3.98 3.94 4.03
## 7 Importance of programs for zoo animals 4.01 3.96 4.06
## # ℹ abbreviated name: ¹`mean(as.numeric(Response))`-Histogram of % selected each number for “Rank of animal welfare personal”, with 0/1 being labeled as “least important” and 10 being labeled as “most important”
## Warning: Removed 1 row containing non-finite outside the scale range
## (`stat_bin()`).
-Histogram of % selected each number for “Rank of animal welfare among Americans”, with 0/1 being labeled as “least important” and 10 being labeled as “most important”
## Warning: Removed 1 row containing non-finite outside the scale range
## (`stat_bin()`).
Also means and t-tests comparing the last two above (rank of animal welfare personal vs rank of animal welfare among americans)
mean(d$`Rank of animal welfare among Americans`)## [1] NAt.test(x=d$`Rank of animal welfare personal`, y=d$`Rank of animal welfare among Americans`)##
## Welch Two Sample t-test
##
## data: d$`Rank of animal welfare personal` and d$`Rank of animal welfare among Americans`
## t = 15.608, df = 4053.6, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 1.036359 1.334119
## sample estimates:
## mean of x mean of y
## 5.480463 4.295224-Table with % not at all knowledgeable, % very or extremely knowledgeable for all three “knowledge…” questions
| Question | Very.or.extremely.knowledgeable |
|---|---|
| Knowledge which animals are suffering | 12.150434 |
| Knowledge federal laws | 8.678881 |
| Knowledge state laws | 9.787850 |
-Table with % somewhat or strongly agree, % somewhat or strongly disagree for all “Belief-” questions
| Question | Somewhat.or.strongly.Agree |
|---|---|
| Belief-farmed animals good life | 17.30955 |
| Belief- farmed animals strong laws | 27.53134 |
| Belief- research animals good life | 10.80039 |
| Belief- research animals strong laws | 24.05979 |
| Belief- killing wildlife humane | 40.54966 |
| Belief- strong laws preventing inhumane hunting | 48.21601 |
| Belief- wild animals good life | 40.01929 |
| Belief- legal system should give animals rights | 68.65959 |
-Table with % True for all “T/F-” questions
| Statement | Percent.True |
|---|---|
| Laws in my state addressing cruelty towards wildlife | 86.30005 |
| Limits on the number of carnivores that can be killed | 75.25326 |
| Carnivores can be killed in any way | 31.98263 |
| Commercial farming of octopus allowed | 24.86721 |
| Pigs have room | 32.25651 |
-Histogram with the % and # selecting all responses for “Belief- legal system should give animals rights”
## [1] "Neither agree nor disagree" "Somewhat agree"
## [3] "Strongly agree" "Strongly disagree"
## [5] "Somewhat disagree" NA
Histograms with % and # selecting all responses for: Support for state law specifying wildlife cruelty is criminal
## [1] "Very supportive" "Somewhat supportive"
## [3] "Neither supportive nor unsupportive" "Very unsupportive"
## [5] "Somewhat unsupportive" NA##
## Neither supportive nor unsupportive Somewhat supportive
## 108 411
## Somewhat unsupportive Very supportive
## 53 1414
## Very unsupportive
## 44
Histograms with % and # selecting all responses for: Support for federal law specifying wildlife cruelty is criminal
Histograms with % and # selecting all responses for: US public support for federal law specifying wildlife cruelty is criminal
Also means for each of the above and t-tests comparing the last two above (support for federal law and US public support for federal law)
##
## Welch Two Sample t-test
##
## data: as.numeric(d$`Support for federal law specifying wildlife cruelty is criminal`) and as.numeric(d$`US public support for federal law specifying wildlife cruelty is criminal`)
## t = 25.275, df = 3986.7, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.7678577 0.8970018
## sample estimates:
## mean of x mean of y
## 4.471661 3.639231One bar graph figure with % Strongly agree for each of the “Cruelty Def-” Items together
## [1] "Cruelty Def- Torturing or needlessly mutilating a wild animal"
## [2] "Cruelty Def- Capturing a wild animal and depriving it of necessary food and water"
## [3] "Cruelty Def- beating, shocking, or inflicting repeated pain"
## [4] "Cruelty Def- Leaving an animal in a trap for more than one day"
## [5] "Cruelty Def- Using a motorized vehicle to kill a wild animal"
-Histograms with % and # selecting all responses for:
-Support for state law limiting the numbers of carnivores that can be killed by a hunter in a year -Support for state law restricting hunting season length for carnivores -Support for a federal law requiring limit to carnivores killed -United States public support of federal law requiring limit to numbers of carnivores killed Support for a state law banning wildlife killing contests -Support for a federal law banning wildlife killing contests
# -Histograms with % and # selecting all responses for:
# -Support for state law limiting the numbers of carnivores that can be killed by a hunter in a year
d$support_for_state_law_limiting_the_numbers_of_carnivores = factor(d$`Support for state law limiting the numbers of carnivores that can be killed by a hunter in a year`, levels = support_levels)
make_bar_chart(d, var="support_for_state_law_limiting_the_numbers_of_carnivores",
title="Support for state law limiting the numbers of carnivores\nthat can be killed by a hunter in a year")
# -Support for state law restricting hunting season length for carnivores
d$support_for_state_law_restricting_hunting_season_length_for_carnivores = factor(d$`Support for state law restricting hunting season length for carnivores`, levels = support_levels)
make_bar_chart(d, var="support_for_state_law_restricting_hunting_season_length_for_carnivores",
title="Support for state law restricting\nhunting season length for carnivores")
# -Support for a federal law requiring limit to carnivores killed
d$support_for_a_federal_law_requiring_limit_to_carnivores_killed = factor(d$`Support for a federal law requiring limit to carnivores killed`, levels = support_levels)
make_bar_chart(d, var="support_for_a_federal_law_requiring_limit_to_carnivores_killed",
title="Support for a federal law\nrequiring limit to carnivores killed")
# -United States public support of federal law requiring limit to numbers of carnivores killed
d$US_support_for_a_federal_law_requiring_limit_to_carnivores_killed = factor(d$`United States public support of federal law requiring limit to numbers of carnivores killed`, levels = support_levels)
make_bar_chart(d, var="US_support_for_a_federal_law_requiring_limit_to_carnivores_killed",
title="United States public support of federal law requiring limit to numbers of carnivores killed")
#Support for a state law banning wildlife killing contests
d$support_for_state_ban_wildlife_killing_contests = factor(d$`Support for a state law banning wildlife killing contests`, levels = support_levels)
make_bar_chart(d, var="support_for_state_ban_wildlife_killing_contests",
title="Support for a state law banning wildlife killing contests")
# -Support for a federal law banning wildlife killing contests
d$support_for_a_federal_law_banning_wildlife_killing_contests = factor(d$`Support for a federal law banning wildlife killing contests`, levels = support_levels)
make_bar_chart(d, var="support_for_a_federal_law_banning_wildlife_killing_contests",
title="Support for a federal law banning wildlife killing contests")
Also means for each of the above and t-tests comparing -Support for a federal law requiring limit to carnivores killed and United States public support of federal law requiring limit to numbers of carnivores killed
mean(as.numeric(d$support_for_state_law_limiting_the_numbers_of_carnivores, na.rm=T))## [1] NAmean(as.numeric(d$support_for_state_law_restricting_hunting_season_length_for_carnivores, na.rm=T))## [1] NAmean(as.numeric(d$support_for_a_federal_law_requiring_limit_to_carnivores_killed, na.rm=T))## [1] NAmean(as.numeric(d$US_support_for_a_federal_law_requiring_limit_to_carnivores_killed, na.rm=T)) ## [1] NAmean(as.numeric(d$support_for_state_ban_wildlife_killing_contests, na.rm=T))## [1] NAmean(as.numeric(d$support_for_a_federal_law_banning_wildlife_killing_contests, na.rm=T))## [1] NAt.test(x=as.numeric(factor(d$`Support for a federal law requiring limit to carnivores killed`, levels=support_levels)),
y=as.numeric(factor(d$`United States public support of federal law requiring limit to numbers of carnivores killed`, levels=support_levels)))##
## Welch Two Sample t-test
##
## data: as.numeric(factor(d$`Support for a federal law requiring limit to carnivores killed`, levels = support_levels)) and as.numeric(factor(d$`United States public support of federal law requiring limit to numbers of carnivores killed`, levels = support_levels))
## t = 24.32, df = 4070.9, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.8174487 0.9607996
## sample estimates:
## mean of x mean of y
## 4.145874 3.256750-Histograms with % and # selecting all responses for:
-Support for state law requiring pig space
-Support for federal law requiring pig space
-United States general public Support for federal law requiring pig
space
-Support for state law banning the sale of pork coming from confinement
-Support for state law requiring labeling of pork coming from
confinement
Also means for each of the above and t-tests comparing –Support for federal law requiring pig space -United States general public Support for federal law requiring pig space
mean(as.numeric(d$support_for_state_law_requiring_pig_space, na.rm=T))## [1] NAmean(as.numeric(d$support_for_federal_law_requiring_pig_space, na.rm=T)) ## [1] NAmean(as.numeric(d$US_public_support_for_federal_law_requiring_pig_space, na.rm=T))## [1] NAmean(as.numeric(d$support_for_state_law_banning_pork_from_confinement, na.rm=T))## [1] NAmean(as.numeric(d$support_for_state_law_requiring_labeling_pork_from_confinement, na.rm=T))## [1] NAt.test(x=as.numeric(d$support_for_federal_law_requiring_pig_space),
y=as.numeric(d$US_public_support_for_federal_law_requiring_pig_space))##
## Welch Two Sample t-test
##
## data: as.numeric(d$support_for_federal_law_requiring_pig_space) and as.numeric(d$US_public_support_for_federal_law_requiring_pig_space)
## t = 25.977, df = 3962.4, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.7527120 0.8756066
## sample estimates:
## mean of x mean of y
## 4.530482 3.716323–Histograms with % and # selecting all responses for:
-Support for state law banning eggs from confinement -Support for federal law banning eggs from confinement
- Also means for each of the above
mean(as.numeric(d$support_for_state_law_banning_eggs_from_confinement), na.rm=T)## [1] 4.390256mean(as.numeric(d$support_for_federal_law_banning_eggs_from_confinement), na.rm=T)## [1] 4.329562Histograms with % and # selecting all responses for:
-Support for state law banning octopus farming -Support for state law banning importation of farmed octopuses -Support for a federal law banning octopus farming -United States general public support for federal law banning octopus farming
-Also means for each of the above and t-tests comparing -Support for a federal law banning octopus farming -United States general public support for federal law banning octopus farming
## [1] 4.110674## [1] 4.038367## [1] 4.026096## [1] 3.240905##
## Welch Two Sample t-test
##
## data: as.numeric(d$support_for_a_federal_law_banning_octopus_farming) and as.numeric(d$US_support_for_a_federal_law_banning_octopus_farming)
## t = 20.99, df = 4043.8, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.7118495 0.8585322
## sample estimates:
## mean of x mean of y
## 4.026096 3.240905Histogram with % and # selecting all responses for Support for NOAA speed restrictions. Mean as well.
## [1] 4.466995-Histograms with % and # selecting all responses to “Pet owernship” and “Visited zoo/wildlife sanctuary” and “Frequency of wildlife viewing”
Table with % Yes for the following:
- Identify as animal activist
- Have friends who are farmers or ranchers
- Have made an effort to reduce consumption of meat and/or animal products
- Have friends who hunt or fish
- Vegan or vegetarian
- Hunt or fish
- Farmer or rancher
- Friends/family generally share my views on animal welfare
- Have friends who are vegan or vegetarian
| Trait | Percent.Yes |
|---|---|
| Identify as animal activist | 35.437376 |
| Have friends who are farmers or ranchers | 38.648783 |
| Have made an effort to reduce consumption of meat and or animal products | 47.193244 |
| Have friends who hunt or fish | 69.085487 |
| Vegan or vegetarian | 8.449304 |
| Hunt or fish | 18.439364 |
| Farmer or rancher | 7.848982 |
| Friends family generally share my views on animal welfare | 61.679921 |
| Have friends who are vegan or vegetarian | 63.735718 |
Regression analyses
“Rank of animal welfare personal”
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 3.1136128 | 0.7749183 | 4.0179885 | 0.0000609 |
Pet owernshipYes I have had a pet before
but do not currently own a pet |
0.5007085 | 0.2320028 | 2.1582006 | 0.0310346 |
Pet owernshipYes I currently own a
pet |
1.4576338 | 0.2189228 | 6.6582087 | 0.0000000 |
Visited zoo/wildlife sanctuaryYes |
-0.3448243 | 0.1593474 | -2.1639783 | 0.0305878 |
Frequency of wildlife viewingSeveral times
a year |
-0.2770078 | 0.5858901 | -0.4727982 | 0.6364104 |
Frequency of wildlife viewingA few times a
month |
-0.2442450 | 0.5817518 | -0.4198439 | 0.6746460 |
Frequency of wildlife viewingWeekly |
-0.5495816 | 0.5714827 | -0.9616767 | 0.3363320 |
Frequency of wildlife viewingDaily |
-0.2674282 | 0.5588667 | -0.4785188 | 0.6323350 |
Identify as animal activistNot Sure |
0.9105502 | 0.1416399 | 6.4286261 | 0.0000000 |
Identify as animal activistYes |
1.9594272 | 0.1266619 | 15.4697443 | 0.0000000 |
Have friends who are farmers or ranchersNot
Sure |
-0.0481850 | 0.3279376 | -0.1469334 | 0.8831999 |
Have friends who are farmers or ranchersYes |
-0.1494300 | 0.1185292 | -1.2607018 | 0.2075680 |
Have made an effort to reduce consumption of meat and/or animal productsNot
Sure |
0.3784351 | 0.3017317 | 1.2542107 | 0.2099166 |
Have made an effort to reduce consumption of meat and/or animal productsYes |
0.6275729 | 0.1181470 | 5.3117952 | 0.0000001 |
Have friends who hunt or fishNot Sure |
0.2459871 | 0.3427602 | 0.7176655 | 0.4730500 |
Have friends who hunt or fishYes |
-0.3408771 | 0.1269657 | -2.6847958 | 0.0073192 |
Vegan or vegetarianNot Sure |
-0.1597750 | 0.4000385 | -0.3993992 | 0.6896431 |
Vegan or vegetarianYes |
0.4010928 | 0.1937509 | 2.0701473 | 0.0385707 |
Hunt or fishNot Sure |
0.3351066 | 0.5576786 | 0.6008957 | 0.5479797 |
Hunt or fishYes |
-0.1802431 | 0.1431291 | -1.2593046 | 0.2080719 |
Farmer or rancherNot Sure |
-0.0206901 | 0.7818395 | -0.0264633 | 0.9788905 |
Farmer or rancherYes |
-0.0076504 | 0.1988950 | -0.0384645 | 0.9693213 |
Friends/family generally share my views on animal welfareNot
Sure |
-0.4182722 | 0.1727260 | -2.4215943 | 0.0155438 |
Friends/family generally share my views on animal welfareYes |
-0.1185782 | 0.1512669 | -0.7839005 | 0.4331942 |
Have friends who are vegan or vegetarianNot
Sure |
0.6801046 | 0.2574772 | 2.6414168 | 0.0083223 |
Have friends who are vegan or vegetarianYes |
0.2791611 | 0.1189256 | 2.3473587 | 0.0190071 |
Spanish, Hispanic, or LatinoYes |
0.1454112 | 0.1698829 | 0.8559494 | 0.3921315 |
| RaceMixed race | -0.0020788 | 0.4802540 | -0.0043285 | 0.9965468 |
| RaceAsian | 0.5480856 | 0.4884307 | 1.1221359 | 0.2619436 |
| RaceBlack or African American | 0.7047342 | 0.4636906 | 1.5198371 | 0.1287150 |
| RaceNative Hawaiian or Other Pacific Islander | 4.8131745 | 2.2907158 | 2.1011661 | 0.0357552 |
| RaceOther | 0.2457423 | 0.5136615 | 0.4784130 | 0.6324102 |
| RacePrefer not to say | 0.3975605 | 0.7162929 | 0.5550250 | 0.5789416 |
| RaceWhite or Caucasian | 0.3267136 | 0.4432772 | 0.7370412 | 0.4611865 |
| EducationBachelor’s degree | -0.3472134 | 0.1678906 | -2.0680930 | 0.0387636 |
| EducationGraduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.) | -0.3531497 | 0.1953382 | -1.8078891 | 0.0707787 |
| EducationHigh school diploma or GED | 0.1611012 | 0.1979144 | 0.8139943 | 0.4157482 |
| EducationPrefer not to say | -0.5156422 | 1.0801851 | -0.4773647 | 0.6331563 |
| EducationSome college, but no degree | -0.2910467 | 0.1790007 | -1.6259529 | 0.1041222 |
| EducationSome high school or less | -0.5326996 | 0.5190970 | -1.0262044 | 0.3049233 |
| Income$150,000 or more | 0.0147494 | 0.2059786 | 0.0716064 | 0.9429225 |
| Income$25,000-$49,999 | 0.5708191 | 0.1727237 | 3.3048104 | 0.0009677 |
| Income$50,000-$74,999 | 0.3330570 | 0.1740639 | 1.9134186 | 0.0558416 |
| Income$75,000-$99,999 | 0.2620112 | 0.1861917 | 1.4072121 | 0.1595248 |
| IncomeLess than $25,000 | 0.5445305 | 0.1968105 | 2.7667752 | 0.0057151 |
| IncomePrefer not to say | 0.7081987 | 0.4053172 | 1.7472702 | 0.0807488 |
| Age25-34 years old | 0.0348439 | 0.1929692 | 0.1805671 | 0.8567262 |
| Age35-44 years old | 0.5796609 | 0.1986396 | 2.9181538 | 0.0035617 |
| Age45-54 years old | 0.5249789 | 0.2022529 | 2.5956556 | 0.0095123 |
| Age55-64 years old | 0.6232933 | 0.1876634 | 3.3213356 | 0.0009125 |
| Age65+ years old | 0.7269481 | 0.2214568 | 3.2825734 | 0.0010469 |
| GenderMale | -0.2586481 | 0.1068416 | -2.4208561 | 0.0155753 |
| GenderNon-binary / third gender | -0.4928663 | 0.4349760 | -1.1330887 | 0.2573171 |
| GenderPrefer not to say | 0.1431126 | 0.7806324 | 0.1833291 | 0.8545590 |
| GenderPrefer to self-describe | 0.6145771 | 0.9217356 | 0.6667606 | 0.5050044 |
Political affiliationIndependent |
0.1756733 | 0.1250380 | 1.4049591 | 0.1601936 |
Political affiliationRepublican |
0.0535648 | 0.1386141 | 0.3864315 | 0.6992195 |
Political affiliationSomething else/no
party |
0.4026381 | 0.2231952 | 1.8039733 | 0.0713906 |
Mean of ““Concern about….” questions
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 3.0415232 | 0.2729187 | 11.1444277 | 0.0000000 |
Pet owernshipYes I have had a pet before
but do not currently own a pet |
0.1542250 | 0.0817091 | 1.8874878 | 0.0592440 |
Pet owernshipYes I currently own a
pet |
0.3818787 | 0.0771025 | 4.9528698 | 0.0000008 |
Visited zoo/wildlife sanctuaryYes |
-0.0676666 | 0.0561206 | -1.2057355 | 0.2280666 |
Frequency of wildlife viewingSeveral times
a year |
-0.3070517 | 0.2063448 | -1.4880514 | 0.1368999 |
Frequency of wildlife viewingA few times a
month |
-0.0863321 | 0.2048873 | -0.4213640 | 0.6735360 |
Frequency of wildlife viewingWeekly |
-0.2356561 | 0.2012707 | -1.1708415 | 0.2418064 |
Frequency of wildlife viewingDaily |
-0.0935544 | 0.1968275 | -0.4753116 | 0.6346184 |
Identify as animal activistNot Sure |
0.3101938 | 0.0498842 | 6.2182754 | 0.0000000 |
Identify as animal activistYes |
0.5680551 | 0.0446091 | 12.7340645 | 0.0000000 |
Have friends who are farmers or ranchersNot
Sure |
-0.0504901 | 0.1154964 | -0.4371570 | 0.6620462 |
Have friends who are farmers or ranchersYes |
-0.0233263 | 0.0417449 | -0.5587827 | 0.5763746 |
Have made an effort to reduce consumption of meat and/or animal productsNot
Sure |
0.0815811 | 0.1062670 | 0.7676996 | 0.4427591 |
Have made an effort to reduce consumption of meat and/or animal productsYes |
0.3157321 | 0.0416102 | 7.5878439 | 0.0000000 |
Have friends who hunt or fishNot Sure |
-0.0505482 | 0.1207168 | -0.4187339 | 0.6754570 |
Have friends who hunt or fishYes |
-0.0523628 | 0.0447161 | -1.1710046 | 0.2417408 |
Vegan or vegetarianNot Sure |
0.0544864 | 0.1408897 | 0.3867307 | 0.6989981 |
Vegan or vegetarianYes |
0.1021187 | 0.0682372 | 1.4965253 | 0.1346796 |
Hunt or fishNot Sure |
0.0189249 | 0.1964090 | 0.0963544 | 0.9232490 |
Hunt or fishYes |
-0.1316336 | 0.0504087 | -2.6113275 | 0.0090887 |
Farmer or rancherNot Sure |
-0.0704477 | 0.2753563 | -0.2558419 | 0.7981000 |
Farmer or rancherYes |
-0.0854676 | 0.0700489 | -1.2201135 | 0.2225702 |
Friends/family generally share my views on animal welfareNot
Sure |
0.0055983 | 0.0608324 | 0.0920290 | 0.9266845 |
Friends/family generally share my views on animal welfareYes |
0.1051237 | 0.0532747 | 1.9732364 | 0.0486105 |
Have friends who are vegan or vegetarianNot
Sure |
0.2385963 | 0.0906810 | 2.6311613 | 0.0085768 |
Have friends who are vegan or vegetarianYes |
0.1054432 | 0.0418845 | 2.5174774 | 0.0118999 |
Spanish, Hispanic, or LatinoYes |
-0.0317829 | 0.0598311 | -0.5312101 | 0.5953341 |
| RaceMixed race | -0.2883229 | 0.1691408 | -1.7046320 | 0.0884233 |
| RaceAsian | -0.2656244 | 0.1720206 | -1.5441429 | 0.1227169 |
| RaceBlack or African American | -0.1134295 | 0.1633074 | -0.6945768 | 0.4874038 |
| RaceNative Hawaiian or Other Pacific Islander | 0.0640366 | 0.8067680 | 0.0793743 | 0.9367431 |
| RaceOther | -0.0744214 | 0.1809066 | -0.4113802 | 0.6808392 |
| RacePrefer not to say | -0.4790879 | 0.2522715 | -1.8990967 | 0.0577001 |
| RaceWhite or Caucasian | -0.1663328 | 0.1561180 | -1.0654302 | 0.2868139 |
| EducationBachelor’s degree | -0.0897660 | 0.0591294 | -1.5181272 | 0.1291454 |
| EducationGraduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.) | -0.0967583 | 0.0687962 | -1.4064484 | 0.1597513 |
| EducationHigh school diploma or GED | -0.0110706 | 0.0697036 | -0.1588245 | 0.8738237 |
| EducationPrefer not to say | 0.3587381 | 0.3804308 | 0.9429786 | 0.3458093 |
| EducationSome college, but no degree | -0.1321341 | 0.0630423 | -2.0959594 | 0.0362151 |
| EducationSome high school or less | -0.1209706 | 0.1828209 | -0.6616889 | 0.5082492 |
| Income$150,000 or more | -0.0168113 | 0.0725437 | -0.2317409 | 0.8167637 |
| Income$25,000-$49,999 | 0.1844887 | 0.0608316 | 3.0327756 | 0.0024553 |
| Income$50,000-$74,999 | 0.1033961 | 0.0613036 | 1.6866240 | 0.0918365 |
| Income$75,000-$99,999 | 0.0829473 | 0.0655749 | 1.2649244 | 0.2060504 |
| IncomeLess than $25,000 | 0.1769113 | 0.0693148 | 2.5522883 | 0.0107779 |
| IncomePrefer not to say | -0.0101058 | 0.1427488 | -0.0707942 | 0.9435688 |
| Age25-34 years old | 0.0434215 | 0.0679619 | 0.6389092 | 0.5229575 |
| Age35-44 years old | 0.1517956 | 0.0699590 | 2.1697809 | 0.0301445 |
| Age45-54 years old | 0.2428533 | 0.0712315 | 3.4093508 | 0.0006645 |
| Age55-64 years old | 0.1151795 | 0.0660933 | 1.7426814 | 0.0815478 |
| Age65+ years old | -0.0072127 | 0.0779949 | -0.0924771 | 0.9263285 |
| GenderMale | -0.1241364 | 0.0376286 | -3.2989927 | 0.0009879 |
| GenderNon-binary / third gender | -0.2062202 | 0.1531943 | -1.3461345 | 0.1784165 |
| GenderPrefer not to say | 0.1580687 | 0.2749312 | 0.5749390 | 0.5653993 |
| GenderPrefer to self-describe | -0.3564010 | 0.3246264 | -1.0978806 | 0.2723929 |
Political affiliationIndependent |
-0.0649587 | 0.0440372 | -1.4750876 | 0.1403514 |
Political affiliationRepublican |
-0.1328895 | 0.0488185 | -2.7221116 | 0.0065447 |
Political affiliationSomething else/no
party |
0.0417286 | 0.0786072 | 0.5308493 | 0.5955840 |
Mean of “Importance of…” questions
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 3.1536357 | 0.2766451 | 11.3995701 | 0.0000000 |
Pet owernshipYes I have had a pet before
but do not currently own a pet |
0.2289080 | 0.0828248 | 2.7637617 | 0.0057679 |
Pet owernshipYes I currently own a
pet |
0.4193200 | 0.0781553 | 5.3652186 | 0.0000001 |
Visited zoo/wildlife sanctuaryYes |
-0.0057080 | 0.0568869 | -0.1003397 | 0.9200850 |
Frequency of wildlife viewingSeveral times
a year |
-0.3621265 | 0.2091622 | -1.7313186 | 0.0835540 |
Frequency of wildlife viewingA few times a
month |
-0.1772652 | 0.2076849 | -0.8535295 | 0.3934712 |
Frequency of wildlife viewingWeekly |
-0.2847684 | 0.2040188 | -1.3957950 | 0.1629360 |
Frequency of wildlife viewingDaily |
-0.1030340 | 0.1995149 | -0.5164227 | 0.6056181 |
Identify as animal activistNot Sure |
0.3850559 | 0.0505653 | 7.6150175 | 0.0000000 |
Identify as animal activistYes |
0.5400912 | 0.0452182 | 11.9441151 | 0.0000000 |
Have friends who are farmers or ranchersNot
Sure |
-0.1550340 | 0.1170734 | -1.3242461 | 0.1855774 |
Have friends who are farmers or ranchersYes |
-0.0379727 | 0.0423148 | -0.8973851 | 0.3696249 |
Have made an effort to reduce consumption of meat and/or animal productsNot
Sure |
0.0461095 | 0.1077179 | 0.4280580 | 0.6686564 |
Have made an effort to reduce consumption of meat and/or animal productsYes |
0.2908343 | 0.0421784 | 6.8953381 | 0.0000000 |
Have friends who hunt or fishNot Sure |
0.0584625 | 0.1223651 | 0.4777713 | 0.6328668 |
Have friends who hunt or fishYes |
-0.0300786 | 0.0453267 | -0.6635969 | 0.5070272 |
Vegan or vegetarianNot Sure |
-0.0377313 | 0.1428134 | -0.2642002 | 0.7916538 |
Vegan or vegetarianYes |
0.0197584 | 0.0691689 | 0.2856550 | 0.7751729 |
Hunt or fishNot Sure |
0.1043471 | 0.1990907 | 0.5241180 | 0.6002564 |
Hunt or fishYes |
-0.0794803 | 0.0510969 | -1.5554797 | 0.1199951 |
Farmer or rancherNot Sure |
-0.3486581 | 0.2791160 | -1.2491512 | 0.2117606 |
Farmer or rancherYes |
-0.2043208 | 0.0710053 | -2.8775411 | 0.0040517 |
Friends/family generally share my views on animal welfareNot
Sure |
0.0490288 | 0.0616630 | 0.7951082 | 0.4266479 |
Friends/family generally share my views on animal welfareYes |
0.1370864 | 0.0540022 | 2.5385353 | 0.0112094 |
Have friends who are vegan or vegetarianNot
Sure |
0.3291223 | 0.0919191 | 3.5805635 | 0.0003513 |
Have friends who are vegan or vegetarianYes |
0.1421231 | 0.0424563 | 3.3475120 | 0.0008310 |
Spanish, Hispanic, or LatinoYes |
0.0982177 | 0.0606480 | 1.6194693 | 0.1055089 |
| RaceMixed race | -0.0790372 | 0.1714503 | -0.4609918 | 0.6448562 |
| RaceAsian | -0.0526378 | 0.1743693 | -0.3018751 | 0.7627797 |
| RaceBlack or African American | 0.1057755 | 0.1655371 | 0.6389834 | 0.5229092 |
| RaceNative Hawaiian or Other Pacific Islander | 0.3901677 | 0.8177835 | 0.4771039 | 0.6333419 |
| RaceOther | 0.0294234 | 0.1833767 | 0.1604531 | 0.8725409 |
| RacePrefer not to say | -0.1979679 | 0.2557159 | -0.7741713 | 0.4389239 |
| RaceWhite or Caucasian | 0.0185425 | 0.1582496 | 0.1171724 | 0.9067356 |
| EducationBachelor’s degree | -0.1708248 | 0.0599368 | -2.8500830 | 0.0044170 |
| EducationGraduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.) | -0.1159631 | 0.0697355 | -1.6628985 | 0.0964944 |
| EducationHigh school diploma or GED | -0.0088269 | 0.0706553 | -0.1249285 | 0.9005931 |
| EducationPrefer not to say | -0.2403088 | 0.3856251 | -0.6231669 | 0.5332482 |
| EducationSome college, but no degree | -0.1235807 | 0.0639031 | -1.9338778 | 0.0532735 |
| EducationSome high school or less | 0.0997861 | 0.1853172 | 0.5384611 | 0.5903206 |
| Income$150,000 or more | 0.0435596 | 0.0735342 | 0.5923718 | 0.5536707 |
| Income$25,000-$49,999 | 0.1505283 | 0.0616622 | 2.4411764 | 0.0147284 |
| Income$50,000-$74,999 | 0.0709029 | 0.0621406 | 1.1410075 | 0.2540077 |
| Income$75,000-$99,999 | 0.0529182 | 0.0664703 | 0.7961179 | 0.4260610 |
| IncomeLess than $25,000 | 0.1668544 | 0.0702612 | 2.3747740 | 0.0176565 |
| IncomePrefer not to say | 0.1173896 | 0.1446979 | 0.8112735 | 0.4173082 |
| Age25-34 years old | 0.0515964 | 0.0688898 | 0.7489697 | 0.4539663 |
| Age35-44 years old | 0.1628157 | 0.0709142 | 2.2959548 | 0.0217847 |
| Age45-54 years old | 0.1899635 | 0.0722041 | 2.6309239 | 0.0085828 |
| Age55-64 years old | 0.0744429 | 0.0669957 | 1.1111596 | 0.2666374 |
| Age65+ years old | -0.0462056 | 0.0790599 | -0.5844382 | 0.5589935 |
| GenderMale | -0.1471629 | 0.0381424 | -3.8582554 | 0.0001179 |
| GenderNon-binary / third gender | -0.0386636 | 0.1552860 | -0.2489829 | 0.8034004 |
| GenderPrefer not to say | 0.0640800 | 0.2786851 | 0.2299369 | 0.8181651 |
| GenderPrefer to self-describe | -0.2908489 | 0.3290588 | -0.8838813 | 0.3768699 |
Political affiliationIndependent |
-0.1156857 | 0.0446385 | -2.5916150 | 0.0096244 |
Political affiliationRepublican |
-0.2230218 | 0.0494851 | -4.5068479 | 0.0000070 |
Political affiliationSomething else/no
party |
-0.0158919 | 0.0796805 | -0.1994455 | 0.8419352 |