medigraphic.com

2023, Number 2

<< Back Next >>

Rev Elec Psic Izt 2023; 26 (2)

Validity and reliability analysis of the list of adjectives to assess personalityrevised (AEPR-44)

García SHD, Sapino BME, González REN, Riber ZSM

Language: Spanish
References: 31
Page: 629-650
PDF size: 517.09 Kb.


ABSTRACT

The study of personality has given rise to one of the most prolific theories; that of the Big Five Factors. From this model different measuring instruments have been developed; among them, the List of Adjectives to Evaluate Personality (Sánchez and Ledesma, 2013). A two-stage descriptive-instrumental study was carried out with samples of 293 and 245 participants from different regions of Argentina, to evaluate its psychometric properties. The first study showed an unsatisfactory adequacy of the polychoric correlation matrix. After eliminating the reagents that presented difficulties, and obtaining an abbreviated version (44 items), an exploratory factor analysis was carried out that allowed the identification of five factors, which explained more than 55% of the variance. The factor loads clearly discriminated the corresponding factor, coinciding with the ordering found by Sánchez and Ledesma (2013), and acceptable internal consistency indexes were obtained. The confirmatory factorial analysis corroborated the concordance between the theoretical substrate in which the instrument is anchored and the proposed factorial structure of the revised List of adjectives to assess personality (AEPR-44), presenting itself as a valid alternative for use in our context.


REFERENCES

  1. Acuña, M. I., Alonso, D., Reyna, C. y Brussino, S. (2022). Estudio de la EscalaBreve de Personalidad (EBP) desde la Teoría Clásica de los Test y laTeoría de Respuesta al Ítem. Revista Iberoamericana de Diagnóstico yEvaluación – e Avaliação Psicológica, 64 (3), 185-199.

  2. Allport, G. W. (1937). Personality: a psychological interpretation. Nueva York: Holt.

  3. Carretero-Dios H. y Pérez C. (2007). Normas para el desarrollo y revisión deestudios instrumentales: consideraciones sobre la selección de tests en lainvestigación psicológica. International Journal of Clinical and HealthPsychology, 7 (3), 863-882.

  4. Cemalcilar, Z., Baruh, L., Kezer, M., Soto, C. J., Sumer, N., y John, O. P. (2021).Testing the BFI-2 in a non-WEIRD community sample. Personality andIndividual Differences, 182, 111087

  5. Cordero, A., Pamos, A., y Seisdedos, N. (2008). NEO PI-R, Inventario dePersonalidad NEO Revisado. Adaptación española. (3a edición revisada yampliada). Madrid: TEA Ediciones.

  6. Costa, P. T. y McCrae, R. R. (1999). Inventario de la personalidad NEO Revisado(NEO-PI-R) e Inventario NEO Reducido de Cinco Factores (NEOFFI).Manual profesional. Madrid: TEA Ediciones.

  7. Costa, P.T. y McCrae, R.R. (1990). Personality disorders and the five-factor modelof personality. Journal of Personality Disorders, 4 (4), 362-371.

  8. Costa, Paul y McCrae, R.R. (1999). A five-factor theory of personality. The Five-Factor Model of Personality. Theoretical Perspectives, 2, 51-87.

  9. Cupani, M., Saretti, B., Pizzichini, F. Vaiman, M. y Font, M.L. (2012). Análisisfactorial confirmatorio del NEO-FFI utilizando parcelización de ítems ymétodo bootstrap. Avaliação Psicológica, 11 (2),159-168. Recuperado dehttps://www.redalyc.org/articulo.oa?id=335027501002

  10. Dominguez-Lara, S.A. (2014). ¿Matrices Policóricas/Tetracóricas o MatricesPearson? Un estudio metodológico. Revista Argentina de Ciencias delComportamiento, 6 (1), 39-48.

  11. Ferrando, P. J., Lorenzo-Seva, U., Hernández-Dorado, A. y Muñiz, J. (2022).Decálogo para el Análisis Factorial de los Ítems de un Test. Psicothema, 34,7-17.

  12. Frías-Navarro, D. (2022). Apuntes de estimación de la fiabilidad de consistenciainterna de los ítems de un instrumento de medida. Universidad de Valencia.España. Recuperado de https://www.uv.es/friasnav/AlfaCronbach.pdf

  13. Holgado–Tello, F. P., Chacón–Moscoso, S., Barbero–García, I. y Vila–Abad, E.(2010). Polychoric versus Pearson correlations in exploratory andconfirmatory factor analysis of ordinal variables. Quality y Quantity, 44, 153.

  14. Hu, L.-t., y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariancestructure analysis: Conventional criteria versus new alternatives. StructuralEquation Modeling: A Multidisciplinary Journal, 6 (1), 1–55.

  15. John, O., y Srivastava, S. (1999). The Big Five trait taxonomy: History,measurement, and theoretical perspectives. En L. A. Pervin y O. P. John(Eds.), Handbook of personality: Theory and research (pp. 102-138). NewYork: Guilford.

  16. Kline, R.B. (2016). Principles and Practices of Structural Equation Modeling.Cuarta edición. Nueva York: The Guilford Press.

  17. Ledesma, R. D., Sánchez, R., y Díaz-Lázaro, C. M. (2011). Adjective checklist toassess the big five personality factors in the Argentine population. Journal ofpersonality assessment, 93 (1), 46–55.

  18. Lorenzo-Seva, U. y Ferrando, P.J. (2021). MSA: The Forgotten Index forIdentifying Inappropriate Items Before Computing Exploratory Item FactorAnalysis. Methodology, 17 (4), 296-306.

  19. McCrae, R. (2000). Trait psychology and the revival of personality and culturestudies. American Behavioral Scientist, 44, 10–31.

  20. McCrae, R., Costa, P., Ostendorf, F., Angleitner, A., Harcaron, M., Avia, M., Sanz,J., Sánchez-Bernardos, M., Kusdil, M., Woodfiel, R., Saunders, P., y Smith,P. (2000). Nature Over Nurture. Temperament, Personality, and Life SpanDevelopment. Journal of Personality and Social Psychology, 78, 173-186.

  21. McCrae, R., y Costa, P. (1990). Personality In Adulthood. a Five-Factor TheoryPerspective. New York: Guilford Press.

  22. McCrae, R., y John, O. (1992). An Introduction to the Five Factor Model and hisapplications. Journal of Personality, 60, 162-215.

  23. Meneses, J., Barrios, M., Bonillo, A., Cosculluela, A., Lozano, L.M., Turbany, J. yValero, S. (2013). Psicometría. Editorial UOC: Barcelona

  24. Montero, I. y León, G. O. (2007). A guide for naming research studies inPsychology. International Journal of Clinical and Health Psychology, 7 (3),847-862.

  25. Muthen, B. y Kaplan, D. (1992). A comparison of some methodologies for thefactor analysis of non-normal Likert variables: A note on the size of themodel. British Journal of Mathematical and Statistical Psychology, 45, 19-30.

  26. Rammstedt, B. y John, O. P. (2007) Measuring personality in one minute or less: A10-item short version of the Big Five Inventory in English and German.Journal of Research in Personality, 41 (1), 203-212

  27. Sánchez, R. O., Montes, S. A. y Somerstein, L. D. (2020). Inventario dePersonalidad para el DSM-5: propiedades psicométricas en poblaciónargentina. Estudio preliminar. Interdisciplinaria, 37 (1), 7-8.

  28. Sánchez, R. y Ledesma R. (2007). Los cinco grandes factores: cómo entender lapersonalidad y cómo evaluarla. En A. Monjeau (Ed.) Conocimiento para latransformación. Serie Investigación y Desarrollo (pp. 131-160). Mar delPlata: Ediciones Universidad Atlántida Argentina.

  29. Sánchez, R.O. y Ledesma, R.D. (2013). Listado de adjetivos para evaluarpersonalidad: Propiedades y normas para una población argentina. RevistaArgentina de Clínica Psicológica, 22, 147–160.

  30. Sanz, J., Silva, F. y Avia, M. (1999). La evaluación de la personalidad desde elmodelo de los “Cinco Grandes”: El Inventario de Cinco-Factores NEO(NEO-FFI) de Costa y McCrae. En F.Silva (Ed.) Avances en EvaluaciónPsicológica (pp. 171-234). Valencia: Promolibro.

  31. Widiger, T.A. y Simonsen, E. (2005). Introduction to the special section: TheAmerican Psychiatric Association's research agenda for the DSM-V. Journalof Personality Disorders, 19 (2), 103-109.




2020     |     www.medigraphic.com