Description Usage Format Details Source References Examples
In this experiment, participants judged the likelihood of Sunday being the hottest day of week
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A data frame with 345 observations on the following 3 variables.
priming
a variable. If 0, two-fold
(case
prime); If 1, seven-fold
(class prime).
eliciting
a variable. If 0, precise
;If 1,
imprecise
(lower and upper limit).
agreement
a numeric vector, probability indicated by participants or the average between minimum and maximum probability indicated.
All study participants were from the first or second year, none of the participants had an in-depth knowledge of probability.
For priming
the questions were:
[What is the probability that] the temperature at Canberra airport on Sunday will be higher than every other day next week?
[What is the probability that] the highest temperature of the week at Canberra airport will occur on Sunday?
For eliciting
the instructions were if
to assign a probability estimate,
to assign a lower and upper probability estimate.
The priming
and eliciting
variables that was a qualitative variable was transformed into a quantitative variable to be used by the package functions.
Taken from Smithson et al. (2011) supplements.
doi: 10.3102/1076998610396893 Smithson, M., Merkle, E.C., and Verkuilen, J. (2011). Beta Regression Finite Mixture Models of Polarization and Priming. Journal of Educational and Behavioral Statistics, 36(6), 804–831.
doi: 10.3102/1076998610396893 Smithson, M., and Segale, C. (2009). Partition Priming in Judgments of Imprecise Probabilities. Journal of Statistical Theory and Practice, 3(1), 169–181.
1 2 3 4 | data("WeatherTask", package = "bayesbr")
bbr <- bayesbr(agreement~eliciting+priming, data = WeatherTask,
iter = 200)
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