“In Weapons We Trust?” Four-culture analysis of factors associated with weapon tolerance in young males

Marek Palace, Brandon May, Neil Shortland, William Brown, David Mcllroy, Manish Madan, Anna Bokszczanin, Dominika Gurbisz, Sarah Daly, Laura Hansen, Rakhi Tripathi, Divyashree Harjai, Sukdeo Ingale, Olga Dussart, Wenping Jiang and Vie Palle

PLOS ONE, 2025, vol. 20, issue 3, 1-16

Abstract: Addressing the under-researched issue of weapon tolerance, the paper examines factors behind male knife and gun tolerance across four different cultures, seeking to rank them in terms of predictive power and shed light on relations between them. To this end, four regression and structural equation modelling analyses were conducted using samples from the US (n = 189), India (n = 196), England (n = 107) and Poland (n = 375). Each sample of male participants indicated their standing on several dimensions (i.e., predictors) derived from theory and related research (i.e., Psychoticism, Need for Respect, Aggressive Masculinity, Belief in Social Mobility and Doubt in Authority). All four regression models were statistically significant. The knife tolerance predictors were: Aggressive Masculinity (positive) in the US, Poland and England, Belief in Social Mobility (negative) in the US and England, Need for Respect (positive) in India and Psychoticism (positive) in Poland. The gun tolerance predictors were: Psychoticism (positive) in the US, India and Poland, Aggressive Masculinity (positive) in the US, England and Poland, and Belief in in Social Mobility (negative) in the US, Belief in Social Mobility (positive) and Doubt in Authority (negative) in Poland. The Structural Equation Weapon Tolerance Model (WTM) suggested an indirect effect for the latent factor Perceived Social Ecological Constraints via its positive relation with the latent factor Saving Face, both knife and gun tolerance were predicted by Psychoticism.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0317182

DOI: 10.1371/journal.pone.0317182

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