betareg (version 3.0-3)

WeatherTask: 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)

source

Taken from http://dl.dropbox.com/u/1857674/betareg/betareg.html.

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: [object Object],[object Object] For eliciting the instructions were if [object Object],[object Object]

References

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.

Examples

data("WeatherTask", package = "betareg")
wt_betamix <- betamix(agreement ~ 1, data = WeatherTask, k = 2,
  extra_components = extraComponent(type = "betareg", coef =
    list(mean = 0, precision = 2)),
  FLXconcomitant = FLXPmultinom(~ priming + eliciting))