Researching moral foundations using the Bayesian approach

Rakinić, Kristina (author)

Moral foundations theory describes a complex space of human morality along five moralfoundations: care/harm, fairness/cheating, loyalty/betrayal, and sanctity/degradation. Thefirst aim of this study is to explore the role of socio-demographic variables in endorsing thefive moral foundations and to provide insight into the role of moral foundations in attitudestowards homeless people. The second objective of the study is to provide an example ofemploying the Bayesian statistical approach. There were 162 participants in our study (27%male, mean age 36 years). Convenience sampling method was used. Age and educationfound to be the most important predictors of moral foundations, with Bayesian factorsshowing the strongest evidence for age as a positive predictor of moral foundations. Gender,political affiliation, care and authority were found to be important predictors of attitudestowards homeless people, with Bayesian factors showing much stronger evidence for moralfoundations than sociodemographic variables. This study lays the groundwork for researchon moral foundations in Slovenian samples and provides a practical example of Bayesianapproach application in social science.

• Language: English
• Keywords: moral foundations, sociodemographic variables, attitudes, Bayesian statistics
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FDV - Faculty of Social Sciences
• Publication status: Published
• Publication version: Version of Record
• Publication date: 01.01.2023
• Year: 2024
• Number of pages: Str. 77-93
• Numbering: Vol. 20, no. 1
• PID: 20.500.12556/RUL-164508
• UDC: 311/314
• ISSN on article: 1854-0023
• DOI: 10.51936/alnb3451
• COBISS.SI-ID: 213191171
• Publication date in RUL: 28.10.2024

Record is a part of a journal

• Title: Advances in methodology and statistics
• Shortened title: Metodol. zv.
• Publisher: Fakulteta za družbene vede
• ISSN: 1854-0023
• COBISS.SI-ID: 215795712

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P5-0168-2022
• Name: Družboslovna metodologija, statistika in informatika