sivan: Wason task performance and morality
In jomulder/BFpack: Flexible Bayes Factor Testing of Scientific Expectations
sivan R Documentation
Wason task performance and morality
Description
Data from an experimental study, using the Wason selection task (Wason 1968)
to examine whether humans have cognitive adaptations for detecting violations
of rules in multiple moral domains. Moral domains are operationalized in
terms of the five domains of the Moral Foundations Questionnaire
(Graham et al. 2011).
These data were simulated using the
R-package synthpop, based on the characteristics of the original data.
Usage
data(sivan)
Format
A data.frame with 887 rows and 12 columns.
Details
sex factor Participant sex
age integer Participant age
nationality factor Participant nationality
politics integer How would you define your political opinions? Likert type scale, from 1 (Liberal) to 6 (Conservative)
WasonOrder factor Was the Wason task presented before, or after the MFQ?
Harm numeric MFQ harm domain.
Fairness numeric MFQ fairness domain.
Loyalty numeric MFQ loyalty domain.
Purity numeric MFQ purity domain.
Tasktype ordered How was the Wason task framed?
GotRight factor Did the participant give the correct answer to the Wason task?
References
Sivan, J., Curry, O. S., & Van Lissa, C. J. (2018). Excavating the Foundations: Cognitive Adaptations for Multiple Moral Domains. Evolutionary Psychological Science, 4(4), 408–419. doi:10.1007/s40806-018-0154-8
jomulder/BFpack documentation built on April 1, 2024, 5:27 a.m.
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| sivan | R Documentation |
Wason task performance and morality
Description
Data from an experimental study, using the Wason selection task (Wason 1968)
to examine whether humans have cognitive adaptations for detecting violations
of rules in multiple moral domains. Moral domains are operationalized in
terms of the five domains of the Moral Foundations Questionnaire
(Graham et al. 2011).
These data were simulated using the
R-package synthpop, based on the characteristics of the original data.
Usage
data(sivan)
Format
A data.frame with 887 rows and 12 columns.
Details
| sex | factor | Participant sex |
| age | integer | Participant age |
| nationality | factor | Participant nationality |
| politics | integer | How would you define your political opinions? Likert type scale, from 1 (Liberal) to 6 (Conservative) |
| WasonOrder | factor | Was the Wason task presented before, or after the MFQ? |
| Harm | numeric | MFQ harm domain. |
| Fairness | numeric | MFQ fairness domain. |
| Loyalty | numeric | MFQ loyalty domain. |
| Purity | numeric | MFQ purity domain. |
| Tasktype | ordered | How was the Wason task framed? |
| GotRight | factor | Did the participant give the correct answer to the Wason task? |
References
Sivan, J., Curry, O. S., & Van Lissa, C. J. (2018). Excavating the Foundations: Cognitive Adaptations for Multiple Moral Domains. Evolutionary Psychological Science, 4(4), 408–419. doi:10.1007/s40806-018-0154-8
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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