Psychometric properties of a scale of tolerance to corruption using moral dilemmas

Autores

DOI:

https://doi.org/10.15517//ap.v39i139.60490

Palavras-chave:

corruption, moral dilemmas, social desirability, validity, psychometry

Resumo

Objective. Understanding the extent of citizen participation in corrupt practices presents a challenge given that the illicit and socially reprehensible nature of corrupt acts generates a social desirability bias into measures of corruption. The objective was to design a measurement to assess individuals’ propensity to either tolerate or resist corruption, employing eight moral dilemmas. Method. The instrument was administered to 173 participants for the exploratory factor analysis, followed by 282 participants for the confirmatory factor analysis. Results. The results of exploratory and confirmatory factor analysis revealed a single factor structure that grouped seven out of the eight dilemmas obtaining optimal goodness-of-fit indices and acceptable reliability. The measurement is useful for future research analyzing corruption.

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Referências

Bowles, S. & Gintis, H. (2011). A cooperative species. Human Reciprocity and its Evolution, Princeton University Press. https://library.uniteddiversity.coop/Cooperatives/A_Cooperative_Species-Human_Reciprocity_and_Its_Evolution.pdf

Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications. http://www.kharazmi-statistics.ir/Uploads/Public/book/Methodology%20in%20the%20Social%20Sciences.pdf

Christensen, J. F., & Gomila, A. (2012). Moral dilemmas in cognitive neuroscience of moral decision-making: A principled review. Neuroscience & Biobehavioral Reviews, 36(4), 1249-1264. https://doi.org/10.1016/j.neubiorev.2012.02.008

Carrasco, D., & Pavón, A. (2021). Tolerance of corruption among students in Latin America. In E. Treviño, D. Carrasco, E. Claes & K. J. Kennedy (Eds.) Good citizenship for the next generation: a global perspective using IEA ICCS 2016 data (pp. 107-125). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-75746-5

Costa‐Lopes, R., Do Bú, E. A., Madeira, F., & Pinto, I. R. (2025). The ore I See It the Less I Want It: Sociotropic Corruption and (In) tolerance Towards Corruption in Contexts of Perceived Economic Crisis. European Journal of Social Psychology, 55(3), 490-500. https://doi.org/10.1002/ejsp.3138

Cruz Torres, C. E., Correa Romero, F. E., García y Barragán, L. F., Contreras, & Ibáñez, C. C. (2020). Las creencias que justifican la corrupción disminuyen la disposición y el apoyo percibido para combatirla. Revista Latinoamericana de Psicología, 52, 235-242. https://doi.org/10.14349/rlp.2020.v52.23

Duarte, J.J. & Cruz, C. E. (2024). Transparency and altruistic punishment in an experimental model of cooperation to corruption through economic games. Revista Colombiana de Psicología, 33(2), 43-62. https://doi.org/10.15446/rcp.v33n2.103188

Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British journal of psychology, 105(3), 399-412. https://doi.org/10.1111/bjop.12046

Fehr, E., & Gächter, S. (2000). Cooperation and punishment in public goods experiments. American Economic Review, 90(4), 980–994. https://doi.org/10.1257/aer.90.4.980

Fehr, E., & Gächter, S. (2002). Altruistic punishment in humans. Nature, 415, 137–140. https://doi.org/10.1038/415137a

Ferrando, P. J., & Seva, U. L. (2017). 10 años del programa FACTOR: una revisión crítica de sus orígenes, desarrollo y líneas futuras. Psicothema, 29(2), 236-240. https://doi.org/10.7334/psicothema2016.304

Gong, T., & Wang, S. (2013). Indicators and implications of zero tolerance of corruption: The case of Hong Kong. Social Indicators Research, 112(3), 569-586. https://doi.org/10.1007/s11205-012-0071-3

González-Ramírez, M. F., & Monsiváis-Carrillo, A. (2022). ¿Por qué la ciudadanía acepta pagar sobornos? La tolerancia a la corrupción en América Latina. América Latina Hoy, 91, 135-154. https://doi.org/10.14201/alh.28059

Guzmán, J., & Ponce, A. F. (2017). Los tipos de corrupción y la satisfacción con los servicios públicos. Evidencia del caso mexicano. Región y sociedad, 29(70), 231-262. https://doi.org/10.22198/rys.2017.70.a344

Hardin, G. (1968). The Tragedy of the Commons. Science, 162(3859), 1243–1248. https://doi.org/10.1126/science.162.3859.1243

Hoelter, J. W. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods & Research, 11(3), 325-344. https://doi.org/10.1177/0049124183011003003

JASP Team (2023). JASP (Version 0.17.2.1) [Computer software]. https://jasp-stats.org

Krumpal, I. (2013). Determinants of social desirability bias in sensitive surveys: a literature review. Quality & Quantity, 47(4), 2025-2047. https://doi.org/10.1007/s11135-011-9640-9

Liu, T. A. X., Juang, W. J., & Yu, C. (2022). Understanding Corruption with Perceived Corruption: The Understudied Effect of Corruption Tolerance. Public Integrity, 25(2), 207–219. https://doi.org/10.1080/10999922.2022.2029095

Lorenzo-Seva, U., & Ferrando, P. J. (2019). Robust Promin: a method for diagonally weighted factor rotation. LIBERABIT. Revista Peruana de Psicología, 25(1), 99-106. https://doi.org/10.24265/liberabit.2019.v25n1.08

Muthukrishna, M., Francois, P., Pourahmadi, S., & Henrich, J. (2017). Corrupting cooperation and how anti-corruption strategies may backfire. Nature Human Behaviour, 1(7), 0138. https://doi.org/10.1038/s41562-017-0138

Murray, C. K., Frijters, P., & Vorster, M. (2017). The back-scratching game. Journal of Economic Behavior & Organization, 142, 494-508. https://doi.org/10.1016/j.jebo.2017.07.018

Muthén, B. O., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Retrieved from http://gseis.ucla.edu/faculty/muthen/articles/Article_075.pdf

Nystrand, M. J. (2014). Petty and grand corruption and the conflict dynamics in Northern Uganda. Third World Quarterly, 35(5), 821-835. https://www.jstor.org/stable/24522119

Nowak, M. A. (2006). Five rules for the evolution of cooperation, Science, 314 (5805), 1560–1563. https://doi.org/10.1126/science.1133755

Ostrom, E. (2003). How types of goods and property rights jointly affect collective action. Journal of Theoretical Politics, 15(3), 239–270. https://doi.org/10.1177/0951692803015003002

Ostrom, E. (2010). Beyond Markets and States: Polycentric Governance of Complex Economic Systems. American Economic Review, 100(3), 641–672. https://doi.org/10.1257/aer.100.3.641

Ostrom, E. (2011). El gobierno de los bienes comunes: La evolución de las instituciones de acción colectiva. México, Fondo de Cultura Económica.

Pedersen, E. J., McAuliffe, W. H., & McCullough, M. E. (2018). The unresponsive avenger: More evidence that disinterested third parties do not punish altruistically. Journal of Experimental Psychology: General, 147(4), 514-544. https://doi.org/10.1037/xge0000410

Pedersen, E. J., McAuliffe, W. H. B., Shah, Y., Tanaka, H., Ohtsubo, Y., & McCullough, M. E. (2020). When and Why Do Third Parties Punish Outside of the Lab? A Cross-Cultural Recall Study. Social Psychological and Personality Science, 11(6), 846-853. https://doi.org/10.1177/1948550619884565

Sandoval, I. E. (2016). Enfoque de la corrupción estructural: poder, impunidad y voz ciudadana. Revista Mexicana de Sociología, 78(1), 119-152. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-25032016000100119

Sutherland, E. H. (1940). White-Collar Criminality. American Sociological Review, 5(1), 1-12. https://doi.org/10.2307/2083937

Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209. https://doi.org/10.1037/a0023353

Transparency International. (2025, Febraury 11). Índice de percepción de la corrupción 2024. Retrieved from https://www.transparency.org/en/news/cpi-2024-highlights-insights-corruption-climate-crisis?gad_source=1&gad_campaignid=22216016049&gbraid=0AAAAADud0D9cHXhWT2YjN2RHhIL3U4m0c&gclid=Cj0KCQiA5abIBhCaARIsAM3-zFXUZLOoAbvvPo_EzRl2JpKJLpUChefLiCo4VyusA_8niq6fzM7uEc8aAh1bEALw_wcB

Transparency International (2020, February 10). Anti-Corruption Glossary. Retrieved from https://www.transparency.org/glossary/term/corruption (consultado el 10 de febrero de 2020).

Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best Alternatives to Cronbach’s Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measuremen Frontiers in Psychology, 7, 769. https://doi.org/10.3389/fpsyg.2016.00769

World Justice Project (2025, August 15). The World Justice Project Rule of Law Index® 2025. https://worldjusticeproject.org/rule-of-law-index/global

Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s α, Revelle’s β, and McDonald’s ω H: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70(1), 123-133. https://doi.org/10.1007/s11336-003-0974-7

Zúñiga, V., Zapata, J., Torres, I., Carrillo, E., Domínguez, T., Muela. C. & Rendon, C. (2019). Historias de corrupción cotidiana. Nuevo León, México: Fondo editorial de Nuevo León. https://www.fondoeditorialnl.gob.mx/pdfs/Historiasdecorrupcion.pdf

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Publicado

2025-12-06

Como Citar

Cruz Torres, C. E., Garcia-Campos, T., Domínguez-Espinosa, A. del C., Montesinos-González, C. A., Domínguez-Perera, P., & Salas-Menotti, I. (2025). Psychometric properties of a scale of tolerance to corruption using moral dilemmas. Actualidades En Psicología, 39(139), 81-95. https://doi.org/10.15517//ap.v39i139.60490

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