Psychometric properties of the state-trait anger expression inventory - STAXI-2 in students of a public university of Lambayeque
DOI:
https://doi.org/10.18050/psiquemag.v13i1.2807Keywords:
State-Trait Anger Expression Inventory-STAXI-2, validity, reliability, college students, psychometric propertiesAbstract
This study analyzes the psychometric properties of the 49-item State-Trait Anger Expression Inventory - STAXI-2 in its Spanish version authored by Miguel-Tobal, Casado, Cano-Vindel and Spielberger. It was administered to students from a public university in Lambayeque which study’s population was made up of 2,205 male and female university students, enrolled in the 2018-II academic semester. Content validity was carried out with 10 expert judges and the reliability was carried out with a pilot sample of 30 students. The factor analysis (FA) was analyzed with a sample of 285 students selected through non random sampling; with a significance level of 0.05 and a confidence level of 95% (0.95). The validity and reliability of the instrument was reported, according to Aiken's V and Cronbach's Alpha Coefficient, finding good internal consistency. Likewise, the CFA using the least squares estimation method turned out to be good, resulting in three factor model: state anger, trait anger, and anger expression and control. It was concluded that the STAXI-2 is a valid and reliable instrument to assess state anger, trait anger, and anger expression and control in students of a public university in Lambayeque.
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American Psychological Association, APA Task Force on Psychological Assessment and Evaluation Guidelines. (2020). APA Guidelines for Psychological Assessment and Evaluation. https://www.apa.org/about/policy/guidelines-psychological-assessment-evaluation.p
Anastacio, A. L. (2020). Evidencia del análisis psicométrico del inventario de expresión de Ira- Estado –Rasgo (STAXI – 2) en estudiantes universitarios de Piura. [Tesis de Pregrado].https://alicia.concytec.gob.pe/vufind/Record/UCVV_d678617740e2ebe83f6a03e934320b75
Bolarinwa, O. A. (Oct–Dec 2015). Principles and Methods of Validity and Reliability Testing of Questionnaires Used in Social and Health Science Researches. Nigerian Postgraduate Medical Journal, 22(4),195-201. https://pubmed.ncbi.nlm.nih.gov/26776330/
Brett, J.M. y Drasgow, F. (Eds.). (2002). The Psychology of Work: Theoretically Based Empirical Research (1st ed.). Psychology Press. https://doi.org/10.4324/9781410602411
Carretero-Dios, H. y Pérez, C. (2007). Standards for the development and review of instrumental studies: Considerations about test selection in psychological research. International Journal of Clinical and Health Psychology. 7(3), 863-882. https://www.aepc.es/ijchp/carretero_es.pdf
Chereji, S.V., Pintea, S. y David, D. (2012). The relationship of anger and cognitive distortions with violence in violent offenders’ population: a meta-analytic review. The European Journal of Psychology Applied to Legal Context, 4(1): 59-77. https://www.researchgate.net/publication/277272928_The_relationship_of_anger_and_cognitive_distortions_with_violence_in_violent_offenders%27_population_A_meta-analytic_review
Company, R., Oberst, U. y Sánchez, F. (2012). Regulación emocional interpersonal de las emociones de ira y tristeza. Boletín de psicología, 104, 7-36 https://dialnet.unirioja.es/metricas/documentos/ARTREV/3968614
Dash, G. y Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173. https://doi.org/10.1016/j.techfore.2021.121092
Deffenbacher, J. L., Oetting, E. R., Thwaites, G. A., Lynch, R. S., Baker, D. A., Stark, R. S., Thacker, S., & Eiswerth-Cox, L. (1996). State-Trait Anger Theory and the utility of the Trait Anger Scale. Journal of Counseling Psychology, 43(2), 131–148. https://psycnet.apa.org/doi/10.1037/0022-0167.43.2.131
Delgado, A. E., Escurra, L. M. y Torres, W. (2006). La medición en psicología y educación: teoría y aprendizaje. Editorial HOZLO.
Escurra, L. M. (1988). Cuantificación de la validez de contenido por criterio de jueces. Revista de Psicología, 6(1-2),103-111. https://dialnet.unirioja.es/servlet/articulo?codigo=6123333
Flores, J. C. y Terán, M. M. (2022). Validez de contenido de juicio por expertos en instrumento para medir la influencia de factores psicosociales en el estrés organizacional en empresas del giro hotelero. Revista Compendium: Cuadernos de Economía y Administración, 9(3), 219-231. https://doi.org/10.46677/compendium.v9i3.1130
Gadermann, A. M., Guhn, M. y Zumbo, B. D. (2019). Estimating ordinal reliability for Likert type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research and Evaluation, 17(3). https://doi.org/10.7275/n560-j767
García-Batista, Z. E. et al. (2018). Evidencias de validez y fiabilidad de las Puntuaciones del STAXI-2 para población general y hospitalaria: Estudio con una muestra de adultos de República Dominicana. Suma Psicológica, 25(1), 21-29. https://doi.org/10.14349/sumapsi.2018.v25.n1.3
García-Padilla, A. K., Lara-Vargas, E. J. y Albarracín-Rodríguez, A. P. (2016). Análisis psicométrico del Staxi-2 y el MI-Staxi en adultos del Área Metropolitana de Bucaramanga. Cuadernos Hispanoamericanos de Psicología, 16(2), 5-44. http://scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-43812018000100021
Hernández-Sampieri, R. y Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. Editorial Mc Graw Hill Education. https://doi.org/10.22201/fesc.20072236e.2019.10.18.6
Hooper, D., Coughlan, J. y Mullen, M. R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. The Electronic Journal of Business Research Methods, 6(1), 53 – 60. https://core.ac.uk/download/pdf/297019805.pdf
Hu, L. T. y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analuss: Conventional criteria versus new alternatives. Stuctural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540||8
Hunsley, J.y Allan, T. (2019). Psychometrics and Psychological Assessment. In M. Sellbom & J. Suhr (Eds.), The Cambridge Handbook of Clinical Assessment and Diagnosis (Cambridge Handbooks in Psychology, pp. 9-24). Cambridge University Press. https://doi.org/10.1017/9781108235433.002
Kaplan, R. M. y Sacuzzo, D. P. (2006). Pruebas psicológicas: Principios, aplicaciones y temas. (6ta ed.). Thomson.
Kocakaya, S. y Kocakaya, F. (2014). A Structural Equation Modeling on Factors of How Experienced Teachers Affect the Students’ Science and Mathematics Achievements. Education Research International, 1-8. https://doi.org/10.1155/2014/490371.b
Kyriazos, T. A. y Stalikas, A. (2018). Applied Psychometrics: The Steps of Scale Development and Standardization Process. Psychology, 9, 2531-2560. https://doi.org/10.4236/psych.2018.911145
Li, Ch. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behav Res., 48, 936–949 https://doi.org/10.3758/s13428-015-0619-7
Lickley, R. A. y Sebastian, C. L. (2018) The neural basis of reactive aggression and its development in adolescence. Psychology, Crime and Law, 24(3), 313-333, https://doi.org/10.1080/1068316X.2017.1420187
Lloret, S., Ferreres, A., Hernández, A. y Tomás, I. (mayo, 2017). The exploratory factor analysis of items: guided analysis based on empirical data and software. Anales de Psicología, 33(2), 417-432 https://www.redalyc.org/pdf/167/16750533026_1.pdf
Lown, B. A. (2007). Difficult conversations: anger in the clinician-patient/family relationship. Southern medical journal, 100(1), 33–62. https://doi.org/10.1097/01.smj.0000223950.96273.61
Martínez, M. y Sánchez, R. (enero-junio, 2014). Valoración de Situaciones-Estímulo Que Generan Enojo en Diferentes Relaciones Interpersonales. Revista Colombiana de Psicología, 23(1), 163-175. https://www.redalyc.org/pdf/804/80431219010.pdf
Mayer, E. (2018). Pensar con el estómago: como la relación entre digestión y cerebro afecta a la salud y el estado de ánimo. (3ra ed.). Editorial Grijalbo.
Miguel-Tobal, J. J., Casado, M. I, Cano-Vindel, A. y Spielberger, C. D. (2009). Manual del Inventario de Expresión de Ira Estado-Rasgo. TEA Ediciones.
Mohamad, M. M., Sulaiman, N. L., Sern, L. C. y Salleh, K. M. (2015). Measuring the Validity and Reliability of Research Instruments. Procedia - Social and Behavioral Sciences, 204, 164–171. https://doi.org/10.1016/j.sbspro.2015.08.129
Monteza, K. E. y Pacheco, S. E. (2020). Evidencias de Validez y Confiabilidad del Inventario Expresión de Ira Estado/Rasgo STAXI 2 en Policías de la Ciudad de Trujillo. [Tesis de Pregrado]. https://repositorio.ucv.edu.pe/handle/20.500.12692/46340
Mostofsky, E., Penne, E. A. y Mittleman, M. A. (2014). Outbursts of anger as a trigger of acute cardiovascular events: a systematic review and meta-analysis. European heart journal, 35(21), 1404–1410. https://doi.org/10.1093/eurheartj/ehu033
Neuman, W. L. (2007). Basics of social research: Qualitative and Quantitative Approaches. (2nd ed). Pearson Education, Inc.
O’Hair, C., Grocott, L., McNulty, J. y Temple, J. y Shorey, R. (2022). The Interactive Effect of Alcohol Use and Depressive Symptoms in Predicting Couples’ Risk for Intimate Partner Violence Perpetration. Journal of Family Violence, 38, 1-7. 10.1007/s10896-022-00421-6
Quan, F., Yang, R. y Xia, L.X. (2020). The longitudinal relationships among agreeableness, anger rumination, and aggression. Current Psychology, 40(1), 9-20. https://doi.org/10.1007/s12144-020-01030-6
Santandreu, M. y Ferrer, V. A. (2014). Análisis de la emotividad negativa en mujeres víctimas de violencia de pareja: La culpa y la ira. Revista de Psicopatología y Psicología Clínica, 19(2), 129-140. https://doi.org/10.5944/rppc.vol.19.num.2.2014.13063
Schamborg, S., Tully, R. J, Browne, K.D. (2016). The Use of the State-Trait Anger Expression Inventory-II With Forensic Populations: A Psychometric Critique. Int J Offender Ther Comp Criminol. 60(11), 1239-56. https://doi.org/10.1177/0306624X15577932.
Schuberth, F., Henseler, J. y Dijkstra, T.K. (2018). Partial least squares path modeling using ordinal categorical indicators. Qual Quant, 52, 9–35. https://doi.org/10.1007/s11135-016-0401-7
Tabachnick, B. G. y Fidell, L.S. (2007). Using multivariate statistics (5th ed.). Pearson/Allyn & Bacon.
Titova, O. E., Baron, J. A., Michaelsson, K., y Larsson, S. C. (July, 2022). Anger frequency and risk of cardiovascular morbidity and mortality, European Heart Journal Open, 2(4). https://doi.org/10.1093/ehjopen/oeac050
Yuni, J. y Urbano, C. (2014). Técnicas para investigar. Vol. 2 Recursos metodológicos para la preparación de proyectos de investigación. Editorial Brujas.
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