Developing brief versions of the Moral Foundations Vignettes using a genetic algorithm-based approach

Abstract

The time-efficient assessment of moral values using systematically validated measures is a high priority in moral psychology research. However, few such options exist for researchers working with Moral Foundations Theory, one of the most popular theories in moral psychology. Across two samples totaling 1336 participants (756 Australian undergraduates and 580 American Mechanical Turk workers), we used a genetic algorithm-based (GA) approach to construct and validate abbreviated versions of the Moral Foundations Vignettes (MFV), a 90-item scale comprising vignettes of concrete violations of each of the six moral foundations. We constructed 36- and 18-item versions of the MFV, demonstrating close correspondence with the complete MFV, and adequate reliability, predictive validity, and factor-analytic goodness of fit for both abbreviated versions. Overall, the abbreviated scales achieve substantially reduced length with minimal loss of information, providing a useful resource for moral psychology researchers.