wilson: Facial trustworthiness and criminal sentencing

In BFpack: Flexible Bayes Factor Testing of Scientific Expectations

Facial trustworthiness and criminal sentencing

Description

Data from a correlational study in which the correlation between ratings of facial trustworthiness of inmates was correlated with whether they had received the death penalty or not (wilson and Rule, 2015). These data were simulated using the R-package synthpop, based on the characteristics of the original data.

Usage

data(wilson)

Format

A data.frame with 742 rows and 13 columns.

Details

stim	integer	Stimulus Number
sent	integer	Sentence: 1 = Death, 0 = Life
race	integer	Race: 1 = White, -1 = Black
glasses	integer	Glasses: 1 = Yes, 0 = No
tattoos	integer	Tattoos: 1 = Yes, 0 = No
ztrust	numeric	Trustworthiness
trust_2nd	numeric	Trustworthiness ratings with 2nd control group; Death targets are same as in primary analysis, Life targets are different.
afro	numeric	raw Afrocentricity ratings.
zAfro	numeric	Afrocentricity ratings normalized within target race. Analyses in paper were done with this variable.
attract	numeric	Attractiveness
fWHR	numeric	facial width-to-height
afWHR	numeric	fWHR normalized within target race. Analyses in paper were done with this variable
maturity	numeric	Maturity

References

Wilson, J. P., & Rule, N. O. (2015). Facial Trustworthiness Predicts Extreme Criminal-Sentencing Outcomes. Psychological Science, 26(8), 1325–1331. doi: 10.1177/0956797615590992

BFpack documentation built on Oct. 20, 2023, 5:09 p.m.