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Representations of moral violations: Category members and associated features

Published online by Cambridge University Press:  01 January 2023

Justin F. Landy*
Affiliation:
Center for Decision Research, University of Chicago Booth School of Business, 5807 S Woodlawn Avenue, Chicago, IL, 60637, USA
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Abstract

I present a novel way to conceptualize Turiel and colleagues’ Social Domain Theory (SDT), and Haidt and colleagues’ Moral Foundations Theory (MFT), as theories of how concepts of moral violations are mentally represented. I argue that SDT is best viewed as a theory of the features that are associated with concepts of moral violations, including wrongness, generalizability across cultures, and intrinsic harmfulness, and that MFT, in contrast, is best viewed as a theory of individual differences in what kinds of acts are categorized as moral violations (i.e., of category membership). This perspective generates a novel prediction: the same individual difference variables that predict variation in moral values according to MFT should predict ascription of the features predicted by SDT. That is, judgments of wrongness, generalizability, and intrinsic harmfulness should covary with the same predictors as do endorsed moral values, specifically, political orientation and analytic thinking. Three studies supported this hypothesis.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
The authors license this article under the terms of the Creative Commons Attribution 3.0 License.
Copyright
Copyright © The Authors [2016] This is an Open Access article, distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Figure 0

Table 1: Descriptive statistics from Studies 1–3. Scale ranges are presented in brackets, and standard deviations are presented in parentheses.

Figure 1

Table 2: Correlations between individual difference variables and moral judgments in Study 1 (df = 224).

Figure 2

Table 3: Correlations between individual difference variables and intrinsic harm ratings, in Study 2 (df = 256).

Figure 3

Table 4: Correlations between individual difference variables and moral judgments in Study 3 (df = 250).

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