R: Partition-primed Probability Judgement Task for Car...
CarTask
R Documentation
Partition-primed Probability Judgement Task for Car Dealership
Description
In this study participants were asked to judge how likely it is that a
customer trades in a coupe or that a customer buys a car form a
specific salesperson out of four possible salespersons.
Usage
data(CarTask)
Format
A data frame with 155 observations on the following 3 variables.
task
a factor with levels Car and
Salesperson indicating the condition.
probability
a numeric vector of the estimated probability.
NFCCscale
a numeric vector of the NFCC scale.
Details
All participants in the study were undergraduate students at The
Australian National University, some of whom obtained course credit in
first-year Psychology for their participation in the study.
The NFCC scale is a combined scale of the Need for Closure and Need
for Certainty scales which are strongly correlated.
For task the questions were:
Car
What is the probability that a customer trades in a coupe?
Salesperson
What is the probability that a customer buys a
car from Carlos?
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.