Psychometric properties of a scale of tolerance to corruption using moral dilemmas
DOI:
https://doi.org/10.15517//ap.v39i139.60490Palavras-chave:
corruption, moral dilemmas, social desirability, validity, psychometryResumo
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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Copyright (c) 2025 Christian Enrique Cruz Torres, Tonatiuh Garcia-Campos, Alejandra del Carmen Domínguez-Espinosa, Carlos Alberto Montesinos-González, Pablo Domínguez-Perera, Irene Salas-Menotti (Autor/a)

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Esta obra está sob licença de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Unported.




