trains: Experimental effects on attitudes toward immigration
In davidkane9/PPBDS.data: Data for Preceptor's Primer for Bayesian Data Science

Description Usage Format Details Author(s) Source

Data for attitudes toward immigration-related policies, both before and after an experiment which randomly exposed a treated group to Spanish-speakers on a Boston commuter train platform. See Enos (2016) for background and details. Individuals with a treatment value of "Treated" were exposed to two Spanish-speakers on their regular commute. "Control" individuals were not.

trains

A tibble with 115 observations and 8 variables:

gender: character variable with values "Male" and "Female"
liberal: logical variable with TRUE meaning liberal
party: character variable with values "Democrat" and "Republican"
age: integer variable for age in years
income: numeric variable for family income in dollars
treatment: factor variable with two levels: "Treated" and "Control"
att_start: Starting attitude toward immigration issues. Uses a 3 to 15 scale, with higher numbers meaning more conservative
att_end: Ending attitude toward immigration issues. Uses a 3 to 15 scale, with higher numbers meaning more conservative

Table: Data summary


Name	trains
Number of rows	115
Number of columns	8
_______________________
Column type frequency:
character	2
factor	1
logical	1
numeric	4
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
gender	0	1	4	6	0	2	0
party	0	1	8	10	0	2	0

Variable type: factor

skim_variable	n_missing	complete_rate	ordered	n_unique	top_counts
treatment	0	1	FALSE	2	Con: 64, Tre: 51

Variable type: logical

skim_variable	n_missing	complete_rate	mean	count
liberal	0	1	0.44	FAL: 64, TRU: 51

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
age	0	1	42.37	12.20	20	33	43	52	68	▆▇▇▇▃
income	0	1	141813.04	74476.64	23500	87500	135000	135000	300000	▅▇▇▁▆
att_start	0	1	9.19	3.10	3	7	9	11	15	▃▃▇▅▃
att_end	0	1	9.14	2.87	3	7	9	11	15	▂▃▇▃▃