intent_morality

0th

Percentile

Moral judgments about third-party moral behavior.

Moral judgments about third-party moral behavior.

Keywords
datasets
Usage
intent_morality
Details

This dataset contains data from a recent study about how people judge behavior of others when they unintentionally or intentionally cause harm to others.

Participants responded to four different vignettes that contains four different types of conditions-

  • accidental harm. neutral belief, harmful/negative outcome

  • intentional harm. harmful/negative belief, harmful/negative outcome

  • attempted harm. harmful/negative belief, neutral outcome

  • neutral harm. neutral belief, neutral outcome

Additionally, participants saw one of the four variants for each of the four items. Each of the item had a different type of harm.

Format

A data frame with 4016 rows and 8 variables

  • id. Participant id.

  • gender. Participant's gender.

  • item. Which story/vignette participants read for a given condition.

  • harm. What kind of harm was involved in the item.

  • belief. What kind of belief the actor had (neutral or negative/harmful).

  • outcome. What kind of outcome the actor caused (neutral or negative/harmful).

  • condition. Type of harm, composed of belif and outcome.

  • question. Type of moral judgment asked (wrongess or punishment).

  • rating. Moral judgment rating on a scale of 1 to 7.

Aliases
  • intent_morality
Examples
# NOT RUN {
dim(intent_morality)
head(intent_morality)
dplyr::glimpse(intent_morality)
# }
Documentation reproduced from package ggstatsplot, version 0.0.11, License: GPL-3 | file LICENSE

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