Mapping the moral domain.
Open accessAbstract
The moral domain is broader than the empathy and justice concerns assessed by existing measures of moral competence, and it is not just a subset of the values assessed by value inventories. To fill the need for reliable and theoretically grounded measurement of the full range of moral concerns, we developed the Moral Foundations Questionnaire on the basis of a theoretical model of 5 universally available (but variably developed) sets of moral intuitions: Harm/Care, Fairness/Reciprocity, Ingroup/Loyalty, Authority/Respect, and Purity/Sanctity. We present evidence for the internal and external validity of the scale and the model, and in doing so we present new findings about morality: (a) Comparative model fitting of confirmatory factor analyses provides empirical justification for a 5-factor structure of moral concerns; (b) convergent/discriminant validity evidence suggests that moral concerns predict personality features and social group attitudes not previously considered morally relevant; and (c) we establish pragmatic validity of the measure in providing new knowledge and research opportunities concerning demographic and cultural differences in moral intuitions. These analyses provide evidence for the usefulness of Moral Foundations Theory in simultaneously increasing the scope and sharpening the resolution of psychological views of morality.
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MFQ scores have been shown to vary between cultures and between social groups within a single culture.
“MFQ scores have been shown to vary between cultures (Graham et al., 2011) and between social groups within a single culture (Graham et al., 2009).”
From Exploring the psychology of LLMs’ moral and legal reasoning (2024) · cites this paper as Graham et al., 2011
According to each of the three distance metrics, self-reported GPT liberals had a lower distance to the human liberal sample and a higher distance to the human conservative sample than did the self-reported GPT conservatives.
“When these three distance metrics were applied to our sample of self-reported GPT liberals, we found that first, according to each of the three distance metrics, self-reported GPT liberals had a lower distance to the human liberal sample and a higher distance to the human conservative sample than did the self-reported GPT conservatives.”
From Diminished diversity-of-thought in a standard large language model (2024) · cites this paper as Graham et al. (2011)
For self-reported GPT liberals, the two human samples furthest away were always the liberal sample and the libertarian sample.
“Just like for self-reported GPT conservatives, the two human samples furthest away from the self-reported GPT liberals were always the liberal sample (furthest away from with respect to cosine similarity metric) and the libertarian sample (furthest away with respect to the L1 and L2 distance metrics).”
From Diminished diversity-of-thought in a standard large language model (2024) · cites this paper as Graham et al. (2011)
The L1 distance metric found self-reported GPT liberals closest in response to human conservatives among human liberals, moderates, conservatives, and libertarians; the L2 and cosine similarity metrics found them closest to human moderates, with human conservatives a close second.
“Also, the L1 distance metric found that self-reported GPT liberals were – among human liberals, human moderates, human conservatives, and human libertarians – closest in response to human conservatives.”
From Diminished diversity-of-thought in a standard large language model (2024) · cites this paper as Graham et al. (2011)
According to each of the three distance metrics, self-reported GPT liberals were still closer to the human conservative sample than to the human liberal sample.
“The second, arguably more surprising finding was that according to each of the three distance metrics, our sample of self-reported GPT liberals were still closer to the human conservative sample than it was to the human liberal sample.”
From Diminished diversity-of-thought in a standard large language model (2024) · cites this paper as Graham et al. (2011)
All three distance metrics found the sample of self-reported GPT conservatives to be most similar to conservative participants of Graham et al. (2011), followed relatively closely by the moderate sample; the furthest away were always the liberal and libertarian samples.
“All three distance metrics found our sample of self-reported GPT conservatives to be most similar to conservative participants of Graham et al. (2011). This was always followed relatively closely by the moderate sample. The two furthest away were always the liberal sample (furthest away with respect to cosine similarity metric) and the libertarian sample (furthest away with respect to the L1 and L”
From Diminished diversity-of-thought in a standard large language model (2024) · cites this paper as Graham et al. (2011)
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Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries
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Self-citationShifting Liberal and Conservative Attitudes Using Moral Foundations Theory
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Moralized Leadership: The Construction and Consequences of Ethical Leader Perceptions
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Consumer reactions to corporate social responsibility: The role of CSR domains
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Moral foundations and political orientation: Systematic review and meta-analysis.
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How Words Do the Work of Politics: Moral Foundations Theory and the Debate over Stem Cell Research
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A Constructionist Review of Morality and Emotions
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The Development of Social Categorization
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Self-citationWhen and Why We See Victims as Responsible
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- Authors
- Graham, J., Nosek, B. A., Haidt, J., Iyer, R., Koleva, S., & Ditto, P. H.
- Affiliations
- University of Southern California (US)
- University of Virginia (US)
- University of California, Irvine (US)
- Venue
- Journal of Personality and Social Psychology
- Published
- 2011
- Volume
- 101
- Issue
- 2
- Pages
- 366-385
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- PMC
- PMC3116962
- OpenAlex
- W2096910467
- Cited by
- 2,666
- References
- 91
- Citations by year
- 2026: 169 · 2025: 254 · 2024: 245 · 2023: 242 · 2022: 269 · 2021: 245 · 2020: 212 · 2019: 215 · 2018: 174 · 2017: 157 · 2016: 137 · 2015: 114 · 2014: 92 · 2013: 77 · 2012: 42
- FWCI
- 37.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Institute of Education Sciences
- National Institute of Mental Health (R01 MH68447)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Psychology of Moral and Emotional Judgment
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Social Sciences › Education › Values and Moral Education
- Keywords
- moral foundations, Moral Foundations Questionnaire, moral intuitions, harm/care, ingroup loyalty, moral competence, empathy, justice, personality traits, cultural differences in morality, cross-cultural comparison
- MeSH terms
- Adult, Attitude, Female, Humans, Judgment, Male, Morals, Pilot Projects, Surveys and Questionnaires, Social Values, Reproducibility of Results, Intuition
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