soccer {mverse} | R Documentation |
Number of cards given for each referee-player pair in soccer.
Description
A dataset containing card counts between 2,053 soccer players playing in the first male divisions of England, Germany, France, and Spain in the 2012-2013 season and 3,147 referees that these players played under in professional matches. The dataset contains other covariates including 2 independent skin tone ratings per player. Each line represents a player-referee pair.
Usage
soccer
Format
A data frame with 146,028 rows and 26 variables:
- playerShort
short player ID
- player
player name
- club
player club
- leagueCountry
country of player club ( England, Germany, France, and Spain)
- birthday
player birthday
- height
player height (in cm)
- weight
player weight (in kg)
- position
detailed player position
- games
number of games in the player-referee dyad
- victories
victories in the player-referee dyad
- ties
ties in the player-referee dyad
- defeats
losses in the player-referee dyad
- goals
goals scored by a player in the player-referee dyad
- yellowCards
number of yellow cards player received from referee
- yellowReds
number of yellow-red cards player received from referee
- redCards
number of red cards player received from referee
- rater1
skin rating of photo by rater 1 (5-point scale ranging from “very light skin” to “very dark skin”)
- rater2
skin rating of photo by rater 2 (5-point scale ranging from “very light skin” to “very dark skin”)
- refNum
unique referee ID number (referee name removed for anonymizing purposes)
- refCountry
unique referee country ID number (country name removed for anonymizing purposes)
- meanIAT
mean implicit bias score (using the race IAT) for referee country, higher values correspond to faster white | good, black | bad associations
- nIAT
sample size for race IAT in that particular country
- seIAT
standard error for mean estimate of race IAT
- meanExp
mean explicit bias score (using a racial thermometer task) for referee country, higher values correspond to greater feelings of warmth toward whites versus blacks
- nExp
sample size for explicit bias in that particular country
- seExp
standard error for mean estimate of explicit bias measure
Details
The skin colour of each player was rated by two independent raters, rater1 and rater2, and the 5-point scale values were scaled to 0 to 1 - i.e., 0, 0.25, 0.5, 0.75, 1.
Source
Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E. C., … Nosek, B. A. (2018, August 24). Many analysts, one dataset: Making transparent how variations in analytical choices affect results. Retrieved from https://osf.io/gvm2z/