Toloka sample demographics

library (pacman)
p_load('tidyverse', 'lubridate', 'kableExtra', 'magrittr', 'sjlabelled','haven', 'vtable')

df<-read_sav('toloka_data.sav');

df %>%
  dplyr::rename(country=`Q2.7`,no_attention=`Q14_19`,
                use_often=Q9.1) %>% 
  mutate(Education=haven::as_factor(Education, ordered=T),
         Gender=haven::as_factor(Gender, levels='label'),
         Ethnicity=haven::as_factor(Ethnicity),
         Income=haven::as_factor(Income, ordered=T,levels='label'),
         no_attention=haven::as_factor(no_attention, ordered=T),
         use_often=haven::as_factor(use_often, ordered=T),
         ) %>% 
  mutate(sentry_passed=case_when(sentry_status==''~ 'Not done', 
                                 sentry_status=='1'~ 'Passed',
                                 .default='Failed')) %>% 

  select(sentry_passed, country, no_attention, use_often, Education, Gender,
          Income) %>% 
    sumtable( group='sentry_passed', group.test=T, labels=T)

Summary Statistics

sentry_passed	Failed		Not done		Passed
Variable	N	Percent	N	Percent	N	Percent	Test
NFC - I currently don't pay attention to the questions I'm being asked in the survey	578		1253		514		X2=57.005***
... Strongly Disagree	330	57.1%	820	65.4%	393	76.5%
... Disagree	93	16.1%	177	14.1%	60	11.7%
... Neither	52	9%	88	7%	34	6.6%
... Agree	75	13%	119	9.5%	19	3.7%
... Strongly Agree	28	4.8%	49	3.9%	8	1.6%
How often do you use [Field-site]?	526		1238		484		X2=23.1*
... Less than 1 hour per month	27	5.1%	39	3.2%	12	2.5%
... 1-2 hours per month	17	3.2%	40	3.2%	10	2.1%
... 1-2 hours per week	27	5.1%	72	5.8%	16	3.3%
... 2-4 hours per week	55	10.5%	113	9.1%	54	11.2%
... 4-8 hours per week	91	17.3%	203	16.4%	95	19.6%
... 8-20 hours per week	103	19.6%	286	23.1%	126	26%
... 20-40 hours per wekk	86	16.3%	225	18.2%	77	15.9%
... More than 40 hours per week	120	22.8%	260	21%	94	19.4%
What is the highest level of education that you have completed? - Selected Choice	608		1386		527		X2=33.848**
... Some high school	18	3%	32	2.3%	4	0.8%
... High school	127	20.9%	273	19.7%	110	20.9%
... Associate's degree	35	5.8%	77	5.6%	18	3.4%
... Bachelor's degree	296	48.7%	629	45.4%	279	52.9%
... Some graduate school	26	4.3%	95	6.9%	34	6.5%
... Master's degree	75	12.3%	189	13.6%	61	11.6%
... Other professional degree	11	1.8%	34	2.5%	11	2.1%
... Doctoral Degree	5	0.8%	12	0.9%	6	1.1%
... Other	8	1.3%	23	1.7%	4	0.8%
... I prefer not to say	7	1.2%	22	1.6%	0	0%
What is your gender?	608		1394		527		X2=12.466**
... Male	366	60.2%	903	64.8%	311	59%
... Female	241	39.6%	485	34.8%	210	39.8%
... Non-binary	1	0.2%	6	0.4%	6	1.1%
What is your annual household income?	608		1378		527		X2=36.003**
... Less than $1,000 a year	160	26.3%	325	23.6%	110	20.9%
... $1,000 - $2,000	96	15.8%	225	16.3%	89	16.9%
... $2,000 - $5,000	90	14.8%	179	13%	67	12.7%
... $5,000 - $10,000	83	13.7%	164	11.9%	54	10.2%
... $10,000 - $25,000	53	8.7%	139	10.1%	85	16.1%
... $25,000 - $50,000	33	5.4%	79	5.7%	33	6.3%
... $50,000 - $75,000	19	3.1%	52	3.8%	19	3.6%
... $75,000 - $100,000	15	2.5%	30	2.2%	12	2.3%
... $100,000 - $150,000	12	2%	19	1.4%	4	0.8%
... More than $150,000	8	1.3%	24	1.7%	7	1.3%
... Prefer not to answer	39	6.4%	142	10.3%	47	8.9%
Statistical significance markers: * p<0.1; ** p<0.05; *** p<0.01