| sundh2023.meanvariance.e4 {samplrData} | R Documentation |
Data from Experiment 4 in Sundh et al. (2023)
Description
Participants made probability judgments about future hypothetical events, of the format: “What is the probability that there will be an early UK general election AND the UK economy will recover this year?". The experiment consisted of three blocks, so that all participants responded to each unique query three times.
Usage
sundh2023.meanvariance.e4
Format
An object of class data.frame with 13320 rows and 7 columns.
Details
These data are licensed under CC BY 4.0, reproduced from materials in OSF.
- ID
- block
3 blocks in total
- query, querydetail
Verbal descriptions of the query
- querytype
Type of query: e.g. not B given A = p(¬B|A)
- queryset
Whether the query is about biden and 2050 climate goals or UK election and economic recovery
- Estimate
Estimated probability, in percentages
Source
References
Sundh J, Zhu J, Chater N, Sanborn A (2023). “A Unified Explanation of Variability and Bias in Human Probability Judgments: How Computational Noise Explains the Mean Variance Signature.” Journal of Experimental Psychology: General, 152(10), 2842–2860. doi:10.1037/xge0001414.