El sistema de necesidades de Murray y los 5 grandes rasgos de personalidad: evaluación de su relación mediante un modelo exploratorio de ecuaciones estructurales
Resumen
Las pruebas de personalidad se utilizan regularmente como un requisito en muchos sectores en Brasil, incluyendo la educación, los recursos humanos y la gestión del tráfico. El Inventario de Factores de Personalidad, basado en la teoría de las necesidades de Murray, es una herramienta ampliamente utilizada en Brasil. A pesar de su importancia, sus resultados solo están parcialmente relacionados con la teoría de los cinco grandes, el marco aceptado para entender la personalidad. Esta discrepancia teórica podría crear desafíos prácticos para los profesionales que deben ajustarse a los perfiles de los cinco grandes y la armonización de ambas teorías mejoraría su aplicación práctica. En este estudio, evaluamos la posibilidad de ajustar la teoría de personalidad de Murray dentro del marco de los cinco grandes utilizando el modelo exploratorio de ecuaciones estructurales y pruebas de invarianza (por ejemplo, de género), utilizando datos de 272 845 participantes en Brasil (56.2 % hombres, M edad 21.74 ± 15.24) que completaron el Inventario de Factores de Personalidad. También validamos los resultados cruzando muestras aleatorias. Los resultados demostraron un ajuste adecuado, consistencia en la fiabilidad e invarianza escalar/fuerte. El porcentaje de factores de la teoría de Murray en la solución de los cinco grandes nos llevó a concluir que el sistema de necesidades de Murray podría ajustarse en una solución de cinco factores. Los resultados se discuten desde una perspectiva psicométrica y se consideran aspectos históricos de la evaluación de la personalidad.
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Anunciação, L., Marques, L., Murray, C., Portugal, A. C., Rabelo, I., Landeira-Fernandez, J., & Cruz, R. (2024). Psychometric properties of a brief non-verbal test of g factor intelligence. Journal of Psychological Perspective, 6(1), 47–62. https://doi.org/10.47679/jopp.617532024
Anunciação, L., Portugal, A. C., & Landeira-Fernandez, J. (2021). Avaliação neuropsicológica: aspectos estatísticos da relação entre percentil e classificação. Interação Em Psicologia, 25(3). https://doi.org/10.5380/riep.v25i3.71375
Arruda, M. A., Arruda, R., & Anunciação, L. (2022). Psychometric properties and clinical utility of the executive function inventory for children and adolescents: a large multistage populational study including children with ADHD. Applied Neuropsychology. Child, 11(1), 1–17. https://doi.org/10.1080/21622965.2020.1726353
Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397–438. https://doi.org/10.1080/10705510903008204
Atherton, O. E., Chung, J. M., Harris, K., Rohrer, J. M., Condon, D. M., Cheung, F., Vazire, S., Lucas, R. E., Donnellan, M. B., Mroczek, D. K., Soto, C. J., Antonoplis, S., Damian, R. I., Funder, D. C., Srivastava, S., Fraley, R. C., Jach, H., Roberts, B. W., Smillie, L. D., … Corker, K. S. (2021). Why has personality psychology played an outsized role in the credibility revolution? Personality Science, 2, Article e6001. https://doi.org/10.5964/ps.6001
Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022). Evaluating the Big Five as an organizing framework for commonly used psychological trait scales. Journal of Personality and Social Psychology, 122(4), 749–777. https://doi.org/10.1037/pspp0000395
Booth, T., & Hughes, D. J. (2014). Exploratory structural equation modeling of personality data. Assessment, 21(3), 260–271. https://doi.org/10.1177/1073191114528029
Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research. Guilford Publications.
Burneo-Garcés, C., Fernández-Alcántara, M., Aguayo-Estremera, R., & Pérez-García, M. (2020). Psychometric properties of the spanish adaptation of the Personality Assessment Inventory in Correctional Settings: An ESEM study. Journal of Personality Assessment, 102(1), 75–87. https://doi.org/10.1080/00223891.2018.1481858
Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis 2: Hillsdale. Lawrence Erlbaum Associates.
Costa, P. T., Jr, McCrae, R. R., & Löckenhoff, C. E. (2019). Personality across the life span. Annual Review of Psychology, 70, 423–448. https://doi.org/10.1146/annurev-psych-010418-103244
Costa, P. T., & McCrae, R. R. (1988). From catalog to classification: Murray’s needs and the five-factor model. Journal of Personality and Social Psychology, 55(2), 258–265. https://doi.org/10.1037/0022-3514.55.2.258
Desson, S. (2017). Development of an integrated adaptive and maladaptive personality model for measuring the Big Five. University of Westminster. https://doi.org/10.34737/Q3XW6
DeYoung, C. G. (2015). Cybernetic big five theory. Journal of Research in Personality, 56, 33–58. https://doi.org/10.1016/j.jrp.2014.07.004
Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41(1), 417–440. https://doi.org/10.1146/annurev.ps.41.020190.002221
DiStefano, C., & Morgan, G. B. (2014). A comparison of diagonal weighted least squares robust estimation techniques for ordinal data. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 425–438. https://doi.org/10.1080/10705511.2014.915373
Ellis, L., Hoskin, A. W., & Ratnasingam, M. (2018). Handbook of Social Status Correlates. Elsevier Science.
Erickson, S. K., Lilienfeld, S. O., & Vitacco, M. J. (2007). A critical examination of the suitability and limitations of psychological tests in family court. Family Court Review, 45(2), 157–174. https://doi.org/10.1111/j.1744-1617.2007.00136.x
Feher, A., & Vernon, P. A. (2021). Looking beyond the Big Five: A selective review of alternatives to the Big Five model of personality. Personality and Individual Differences, 169(110002), Article 110002. https://doi.org/10.1016/j.paid.2020.110002
Fonseca-Pedrero, E. (2018). Análisis de redes en psicología. Papeles Del Psicólogo, 39(1). https://doi.org/10.23923/pap.psicol2018.2852
Furnham, A., & Robinson, C. (2022). Myths and misconceptions about personality traits and tests. Personality and Individual Differences, 186(111381), Article 111381. https://doi.org/10.1016/j.paid.2021.111381
Gibby, R. E., & Zickar, M. J. (2008). A history of the early days of personality testing in American industry: An obsession with adjustment. History of Psychology, 11(3), 164–184. https://doi.org/10.1037/a0013041
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Kandler, C., Bleidorn, W., Riemann, R., Angleitner, A., & Spinath, F. M. (2011). The genetic links between the big five personality traits and general interest domains. Personality and Social Psychology Bulletin, 37(12), 1633–1643. https://doi.org/10.1177/0146167211414275
Lee, K., & Ashton, M. C. (2007). Factor analysis in personality research. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 424–443). The Guilford Press.
Mammadov, S. (2022). Big Five personality traits and academic performance: A meta-analysis. Journal of Personality. 90(2), 222-255. https://doi.org/10.1111/jopy.12663
Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J. S., Trautwein, U., & Nagengast, B. (2010). A new look at the big five factor structure through exploratory structural equation modeling. Psychological Assessment, 22(3), 471–491. https://doi.org/10.1037/a0019227
Marsh, H. W., Morin, A. J. S., Parker, P. D., & Kaur, G. (2014). Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology, 10, 85–110. https://doi.org/10.1146/annurev-clinpsy-032813-153700
Mindrila, D. (2024). Bayesian structural equation modeling: Goodness of fit and estimation precision across sample sizes. In Preprints. https://doi.org/10.20944/preprints202405.0065.v1
Moosbrugger, H., & Fischbach, A. (2002). Evaluating the dimensionality of the Eysenck Personality Profiler – German version (EPP-D): A contribution to the Super Three vs. Big Five discussion Personality and Individual Differences, 33(2), 191–211. https://doi.org/10.1016/S0191-8869(02)00095-8
Morin, A., Myers, & Nicholas. (2022). Exploratory structural equation modeling. In The SAGE Encyclopedia of Research Design. SAGE Publications, Inc. https://doi.org/10.4135/9781071812082.n202
Murray, H. A. (1938). Explorations in Personality. John Wiley & Sons.
Muthén, L., & Muthén, B. (2017). Mplus user’s guide (8th ed.). Muthén & Muthén
R Core Team. (2019). A language and environment for statistical computing. R Foundation for Statistical Computing.
Pasquali, L., A. Gotuzzo, A. O. Lopez, A. R. Alves, A. C. Portmann, C. Guarnieri, C. Faiad de Moura, D. de Souza, E. Alves, E. Vivas, E. Coutinho, E. M. Lima, F. A. E. Faleiros, F. L. Parente, F. C. Capovilla, G. Prieto, J. A. da Silva, J. I. Abrahão, J. Alcides ... V. Cassepp-Borges (1997). Instrumentação psicológica: Fundamentos e práticas. Artmed Editora.
Raykov, T. (1998). On the use of confirmatory factor analysis in personality research. Personality and Individual Differences, 24(2), 291–293. https://doi.org/10.1016/S0191-8869(97)00159-1
Revelle, W., & Zinbarg, R. E. (2009). Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma. Psychometrika, 74(1), 145–154. https://doi.org/10.1007/s11336-008-9102-z
Roberts, B. W., & Yoon, H. J. (2022). Personality psychology. Annual Review of Psychology, 73, 489–516. https://doi.org/10.1146/annurev-psych-020821-114927
Rollings, J., Micheletta, J., Van Laar, D., & Waller, B. M. (2022). Personality traits predict social network size in older adults. Personality and Social Psychology Bulletin, 49(6), 925-938. https://doi.org/10.1177/01461672221078664
Steinberg, L., & Thissen, D. (2014). Item response theory in personality research. In Personality research, methods, and theory (pp. 161–181). Psychology Press.
Suh, Y. (2015). The Performance of Maximum Likelihood and Weighted Least Square Mean and Variance Adjusted Estimators in Testing Differential Item Functioning With Nonnormal Trait Distributions. Structural Equation Modeling. 22(4), 568-580. https://doi.org/10.1080/10705511.2014.937669
Tabachnick, B. G., & Fidell, L. S. (2018). Using multivariate statistics (7th ed.). Pearson.
Thissen, D. (2001). Test scoring. In R. F. McLean & J. C. Kramer (Eds.), Handbook of psychological testing. Routledge.
Thorndike, R. M., & Lohman, D. F. (1990). A century of ability testing. Riverside Publishing Company
Vitriol, J. A., Larsen, E. G., & Ludeke, S. G. (2020). Just as WEIRD? Personality traits and political attitudes among immigrant minorities. Journal of Research in Personality, 85(103931), Article 103931. https://doi.org/10.1016/j.jrp.2020.103931
Wilmot, M. P., & Ones, D. S. (2019). A century of research on conscientiousness at work. Proceedings of the National Academy of Sciences of the United States of America, 116(46), 23004–23010. https://doi.org/10.1073/pnas.1908430116
Wilmot, M. P., & Ones, D. S. (2022). Agreeableness and its consequences: A quantitative review of meta-analytic findings. Personality and Social Psychology Review : An Official Journal of the Society for Personality and Social Psychology, Inc, 26(3), 242–280. https://doi.org/10.1177/10888683211073007
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