R: Weather Task With Priming and Precise and Imprecise...
WeatherTask
R Documentation
Weather Task With Priming and Precise and Imprecise Probabilities
Description
In this study participants were asked to judge how likely Sunday is to
be the hottest day of the week.
Usage
data(WeatherTask)
Format
A data frame with 345 observations on the following 3 variables.
priming
a factor with levels two-fold (case
prime) and seven-fold (class prime).
eliciting
a factor with levels precise and
imprecise (lower and upper limit).
agreement
a numeric vector, probability indicated by
participants or the average between minimum and maximum
probability indicated.
Details
All participants in the study were either first- or second-year
undergraduate students in psychology, none of whom had a strong
background in probability or were familiar with imprecise probability
theories.
For priming the questions were:
two-fold
[What is the probability that] the temperature at
Canberra airport on Sunday will be higher than every other day
next week?
seven-fold
[What is the probability that] the highest
temperature of the week at Canberra airport will occur on Sunday?
Smithson, M., Merkle, E.C., and Verkuilen, J. (in press). Beta
Regression Finite Mixture Models of Polarization and
Priming. Journal of Educational and Behavioral Statistics.
Smithson, M., and Segale, C. (2009). Partition Priming in Judgments of
Imprecise Probabilities. Journal of Statistical Theory and
Practice, 3(1), 169–181.