We adapted and validated two recent instruments for examining moral judgments do Dutch populations:
1) the Moral Foundations Vignettes (MFVs) and
2) the Socio-Moral Image Database (SMID).
We translated all 120 MFVs from English into Dutch and selected 120 images from SMID that primarily display moral, immoral, or neutral content. 586 crowd-workers from the Netherlands evaluated both stimuli sets on moral and affective dimensions.
Here, we provide the validated vignettes and images for studying moral judgment among Dutch populations, and raw data and python code we used to obtain those.
Organisation of this repository
-------------------------------
**Moral Foundation Vignettes**
Entails *Table1.xlsx*. This file has the following information:
- English Text
- Dutch Text
- Intended Condition
- Nr. of Ratings
- Moral Wrongness
- M, SD
- t-test on Difference to Social Norms/Moral Foundation Ratings
- Classification Rate in %
- Main non-intended Category
- Ratings on
- Comprehensibility
- Imagineability
- Frequency
- Emotion
- Correlation between Moral Wrongness and Political Orientation
- Translators Comment
**Socio Moral Image Database**
Entails a zip with the images (*image.zip*) and a file with image descriptions (*Table2.xlsx*). The later entails:
- Original Image Name (Crone et al., 2018)
- Intended
- Foundation
- Condition
- Arousal
- Ratings
- Nr. of
- Morality (1 - Immoral, 3 - Neutral, 5 Moral)
- Arousal
- Valence
- Authority
- Care
- Fairness
- Loyalty
- Sanctity
- According to Ratings Calculated
- Category
- Condition
- Arousal
- Correlation between Moral Wrongness and Political Orientation
- File Name
**Raw Data and Analysis Code**
- Code
- *smid_selection.ipynb*: How we selected certain Images from the Socio Moral Image Database
- *rating_analysis.ipynb*: How we analysed the data of our validation study
- Raw Data Files
- *numeric_responses.csv*: Survey response data
- *prolific_data.csv*: Demographic Information
- *smid_norms.csv*: Rating Data on SMID from the US-Australian Sample
**Survey Materials**
- *survey_response_options.xlsx*: All response items and options in both English and Dutch
- *coder_training.docx*: Instructions to familiarize coders with MFT, both in original English from Crone et al. (2018) and in Dutch.
