Operationalising Moral Foundations Theory
In order to use Moral Foundations Theory to identify and explain cultural differences, we need a way to measure individual variations in how moral judgements are made. The Moral Foundations Questionnaire aims to fulfill this need.
By the end of this section you should know what the Moral Foundations Questionnaire is and how attempts have been made to validate it. You should also be aware of some objections to its use as a tool for identifying cultural differences.
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Notes
According to (Feinberg & Willer, 2013), researchers have found evidence that Moral Foundations Theory is true. What is this evidence?
The first step towards finding evidence is to operationalise the theory. To this end, Haidt & Graham (2007) developed the Moral Foundations Questionnaire (which can be found in Graham et al. (2011)). Each foundation is linked to a number of questions.
The questionnaire has been given to many subjects by various researchers. Patterns in subjects’ answers can be investigated to discover whether the questionnaire has:
- internal validity (roughly, are the patterns in subjects’ answers consistent with the theory that they are answering on the basis of five foundations?1);
- test-retest reliability (are individuals likely to give the same answers at different times); and
- external validity (roughly, are subjects’ answers on other questionnaires correlated with the conceptually related foundations?).
The Moral Foundations Questionnaire exhibits all these features, and passes tests of internal validity in various countries (Graham et al., 2011; Yilmaz, Harma, Bahçekapili, & Cesur, 2016). However, Iurino & Saucier (2020) collected new samples across 27 countries but ‘we were not able to replicate Graham et al.’s (2011) results indicating that a five-factor model is a suitable approach to modeling the moral foundations’ (p.~6).
A further important feature is measurement invariance:
‘A finding of measurement invariance would provide more confidence that use of the MFQ across cultures can shed light on meaningful differences between cultures rather than merely reflecting the measurement properties of the MFQ’ (Iurino & Saucier, 2020, p. 2).
We are particularly interested in one kind of measurement invariance, scalar invariance, as this would justify using the Moral Foundations Questionnaire to compare mean scores on a foundation.2 That is, it would justify us in drawing conclusions like ‘conservatives put more weight on purity than liberals’. Unfortunately attempts to establish scalar invariance have been unsuccessful (Davis et al., 2016; Doğruyol, Alper, & Yilmaz, 2019; Davis, Dooley, Hook, Choe, & McElroy, 2017; Iurino & Saucier, 2020, p. Table 4).
Failure of the Moral Foundations Questionnaire to exhibit scalar invariance may be due in part to lack of diversity in the sample used to develop it:
‘Items of the MFQ [Moral Foundations Questionnaire] were refined on the basis of a sample with participants from a variety of countries, but the sample was predominately White (i.e., 87%). Furthermore, the sample involved people who visited the team’s website, which inevitably involves some selection bias, potentially associated with ideological background’ (Davis et al., 2017, p. 128; compare Kivikangas, Fernández-Castilla, Järvelä, Ravaja, & Lönnqvist, 2021, p. 84).
Overall, we should be cautious about drawing conclusions about cultural variation from results obtained with the Moral Foundations Questionnaire alone. But we have some evidence to suppose that, in some cases, within a single culture, the Moral Foundations Questionnaire can identify aspects of ethical abilities which may be subject to cultural variation:
‘Recognizing ingroup loyalty, authority, and purity as moral concerns—even if they are not your moral concerns—is crucial both for scientific accuracy and for the application of social justice research‘ (Haidt & Graham, 2007, p. 111).
Glossary
References
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For a clear, nontechnical intro to confirmatory factor analysis see Gregorich (2006). (Note that you are not expected to understand this.) ↩
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See Lee (2018): ‘Ascertaining scalar invariance allows you to substantiate multi-group comparisons of factor means (e.g., t-tests or ANOVA), and you can be confident that any statistically significant differences in group means are not due to differences in scale properties.’ ↩