Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)

La agresión reactiva se caracteriza por una elevada activación emocional, impulsividad y hostilidad, mientras que la agresión proactiva presenta una estrategia fría, instrumental y planificada. El objetivo fue realizar un análisis psicométrico del Reactive-Proactive Aggression Questionnaire [RPQ]. Se conformó una muestra no probabilística de 502 personas entre 18 y 40 años, agrupadas por sexos (n=297, 59.2% mujeres y n=205, 40.8% hombres) y edades (n= 224, 44.62% menores de 25 años y n=278, 55.38% mayores de 25 años). Los instrumentos fueron el RPQ, una escala de rumiación-ira (ARS) y una de afecto (PANAS) en formato impreso. En este estudio instrumental psicométrico se encontró que el RPQ se ajusta mejor en un modelo de dos factores interr... Ver más

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collection International Journal of Psychological Research
title Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
spellingShingle Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
Toro Tobar, Ronald Alberto
García-García, Juan
Zaldívar- Basurto, Flor
invarianza
análisis factorial
agresión proactiva
agresión reactiva
Agresión
Aggression
invariance
reactive aggression
proactive aggression
factor analysis
title_short Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
title_full Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
title_fullStr Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
title_full_unstemmed Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
title_sort analisis factorial e invarianza según edad y género del cuestionario the reactive - proactive aggression questionnaire (rpq)
description La agresión reactiva se caracteriza por una elevada activación emocional, impulsividad y hostilidad, mientras que la agresión proactiva presenta una estrategia fría, instrumental y planificada. El objetivo fue realizar un análisis psicométrico del Reactive-Proactive Aggression Questionnaire [RPQ]. Se conformó una muestra no probabilística de 502 personas entre 18 y 40 años, agrupadas por sexos (n=297, 59.2% mujeres y n=205, 40.8% hombres) y edades (n= 224, 44.62% menores de 25 años y n=278, 55.38% mayores de 25 años). Los instrumentos fueron el RPQ, una escala de rumiación-ira (ARS) y una de afecto (PANAS) en formato impreso. En este estudio instrumental psicométrico se encontró que el RPQ se ajusta mejor en un modelo de dos factores interrelacionados con covarianzas residuales (CFI = .928, RMSEA = .044), presenta correlaciones significativas con el afecto negativo y la rumiación-ira, como evidencias de validez de criterio concurrente, en especial con la agresión reactiva (rumiación-ira r=.542, y afecto negativo r=.359). Además, el test no fue invariante entre sexos y edades, dado que el mejor ajuste estuvo en el sexo masculino y menores de 25 años (∆CFI < 0.01, ∆RMSEA < 0.015). Se concluyó que las mujeres y los adultos mayores de 25 años presentan un perfil de respuesta agresiva diferente. Estos hallazgos representan nuevas direcciones de investigación en torno a la medición de la conducta agresiva y el desarrollo de intervenciones diferenciales por sexos para los adolescentes y adultos jóvenes.
description_eng Reactive aggression is characterized by high emotional activation, impulsivity, and hostility, while proactive aggression presents a cold, instrumental, and planned strategy. The aim was to perform a psychometric analysis of the Reactive-Proactive Aggression Questionnaire [RPQ]. A non-probability sample of 502 people between 18 and 40 years old was formed, grouped by sex (n=297, 59.2% women and n=205, 40.8% men) and age (n = 224, 44.62% under 25 years old and n=278, 55.38% over 25 years old). The instruments were the RPQ, the Anger Rumination Scale (ARS), and an affective scale (PANAS) in printed format. In this instrumental psychometric study, we found that the RPQ fits better in a model of two factors interrelated with residual covariances (CFI = .928, RMSEA = .044), presenting significant correlations with negative affect and anger rumination, as evidence of validity of concurrent criterion, especially with reactive aggression (anger rumination r = .542, and negative affect r = .359). Also, the test was not invariant between sexes and ages, given that the best fit was in the male sex and those under 25 years of age (∆CFI < 0.01, ∆RMSEA < 0.015). We concluded that women and adults over the age of 25 have a different aggressive response profile. These findings represent new directions of research around the measurement of aggressive behavior and the development of gender differentiated interventions for adolescents and young adults. 
author Toro Tobar, Ronald Alberto
García-García, Juan
Zaldívar- Basurto, Flor
author_facet Toro Tobar, Ronald Alberto
García-García, Juan
Zaldívar- Basurto, Flor
topicspa_str_mv invarianza
análisis factorial
agresión proactiva
agresión reactiva
Agresión
topic invarianza
análisis factorial
agresión proactiva
agresión reactiva
Agresión
Aggression
invariance
reactive aggression
proactive aggression
factor analysis
topic_facet invarianza
análisis factorial
agresión proactiva
agresión reactiva
Agresión
Aggression
invariance
reactive aggression
proactive aggression
factor analysis
citationvolume 13
citationissue 1
publisher Universidad San Buenaventura - USB (Colombia)
ispartofjournal International Journal of Psychological Research
source https://revistas.usb.edu.co/index.php/IJPR/article/view/4190
language Inglés
format Article
rights International Journal of Psychological Research - 2020
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-sa/4.0/
references_eng Andreu, J., Peña, M., & Ramírez, J. (2009). Cuestionario de agresión reactiva y proactiva: Un instrumento de medida de la agresión en adolescentes. Revista de Psicopatología y Psicología Clínica, 14 (1), 37–49. Retrieved from: http://www.aepcp.net/arc/(4)_2009(1)_Andreu_Pena_Ramirez.pdf. Ang, R. P., Huan, V. S., Li, X., & Chan, W. T. (2016). Factor structure and invariance of the reactive and proactive aggression questionnaire in a large sample of young adolescents in Singapore. Child Psychiatry and Human Development, 47 (6), 883–889. doi:10.1007/s10578-015-0619-y. Barker, E. D., Tremblay, R. E., Nagin, D. S., Vitaro, F., & Lacourse, E. (2006). Development of male proactive and reactive physical aggression during adolescence. Journal of Child Psychology and Psychiatry, 47 (8), 783–790. doi:10.1111/j.1469-7610.2005.01585.x. Brugman, S., Cornet, L. J., Smeijers, D., Smeets, K., Oostermeijer, S., Buitelaar, J. K., & Jansen, L. M. (2017). Examining the reactive proactive questionnaire in adults in forensic and non-forensic settings: A variable-and person-based approach. Aggressive Behavior, 43 (2), 155–162. doi:10.1002/ab.21671. Byrne, B. M., & van de Vijver, F. J. R. (2010). Testing for measurement and structural equivalence in largescale cross-cultural studies: Addressing the issue of nonequivalence. International Journal of Testing, 10 (2), 107–132. doi:10.1080/15305051003637306. Cauffman, E., Skeem, J. L., Dmitrieva, J., & Cavanagh, C. (2016). Comparing the stability of psychopathy scores in adolescents versus adults: How often is “fledgling psychopathy” misdiagnosed? Psychology Public Policy and Law, 22 (1), 77–91. doi:10.1037/law0000078. Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14 (3), 464–304. doi:10.1080/10705510701301834. Colins, O. F. (2016). Assessing Reactive and Proactive Aggression in Detained Adolescents Outside of a Research Context. Child Psychiatry & Human Development, 47 (1), 159–172. doi:10.1007/s10578-015-0553-z. Crick, N. R., & Dodge, K. A. (1996). Social informationprocessing mechanisms in reactive and proactive aggression. Child Development, 67 , 993–1002. doi:10.2307/1131875. Dinic, B. M., & Raine, A. (2019). An Item Response Theory Analysis and Further Validation of the Reactive–Proactive Aggression Questionnaire (RPQ): The Serbian Adaptation of the RPQ. Journal of Personality Assessment, 1–11. doi:10.1080/00223891.2019.1573430. Dodge, K. A., & Coie, J. D. (1987). Social-informationprocessing factors in reactive and proactive aggression in childre’s peer groups. Journal of Personality and Social Psychology, 53 (6), 1146–1158. doi:10.1037/0022-3514.53.6.1146. Euler, F., Steinlin, C., & Stadler, C. (2017). Distinct profiles of reactive and proactive aggression in adolescents: Associations with cognitive and affective empathy. Child and Adolescent Psychiatry and Mental Health, 11 (1), 1. doi:10.1186/s13034-016-0141-4. Fung, A. L. C., Li, X., Ramírez, M. J., Lam, B. Y., Millana, L., & Fares-Otero, N. E. (2018). A crossregional study of the reactive and proactive aggression of youth in Spain, Uruguay, mainland China, and Hong Kong. Social Development, 27 (4), 748–760. doi:10.1111/sode.12305. Fung, A. L. C., Raine, A., & Gao, Y. (2009). Cross-cultural generalizability of the Reactive-Proactive Aggression Questionnaire (RPQ). Journal of Personality Assessment, 91 (5), 473–479. doi:10.1080/00223890903088420. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A multidisciplinary Journal, 6 , 1–55. doi:10.1080/10705519909540118. Hubbard, J. A., McAuliffe, M. D., Morrow, M. T., & Romano, L. J. (2010). Reactive and proactive aggression in childhood and adolescence: Precursors, outcomes, processes, experiences and measurement. Journal of Personality, 78 (1), 95–118. doi:10.1111/j.1467-6494.2009.00610.x. Li-Chung, L., Po-Hsien, H., & Li-Jen, W. (2017). Selecting path models in sem: A comparison of model selection criteria. Structural Equation Modeling: A multidisciplinary Journal, 24 (6), 855–869. doi:10.1080/10705511.2017.1363652. Lobbestael, J., Cima, M., & Arntz, A. (2013). The Relationship Between Adult Reactive and Proactive Aggression, Hostile Interpretation Bias, and Antisocial Personality Disorder. Journal of Personality Disorders, 27 (1), 53–66. doi:10.1521/pedi.2013.27.1.53. Marsee, M. A., & Frick, P. J. (2007). Exploring the cognitive and emotional correlates to proactive and reactive aggression in a sample of detained girls. Journal of Abnormal Child Psychology, 36 (6), 969–981. doi:10.1007/s10802-007-9147-y. Ortega-Andrade, N., Alcázar-Olán, R., Matías, O. M., Rivera-Guerrero, A., & Domínguez-Espinosa, A. (2017). Anger rumination scale: Validation in mexico. The Spanish Journal of Psychology, 20 (e1), 1–9. doi:10.1017/sjp.2016.105. Pang, J. S., Ang, R. P., Kom, D. M. Y., Tan, S. H., & Chiang, A. Q. M. (2013). Patterns of reactive and proactive aggression in young adolescents in singapore. Social Development, 22 (4), 794–812. doi:10.1111/sode.12024. Pechorro, P., Kahn, R. E., Ray, J. V., Raine, A., & Gonçalves, R. A. (2017). Psychometric Properties of the Reactive-Proactive Aggression Questionnaire among a sample of detained and community girls. Criminal Justice and Behavior, 44 (4), 531–550. doi:10.1177/0093854816686395. Penado, M., Andreu, J. M., & Peña, E. (2014). Agresividad reactiva, proactiva y mixta: análisis de los factores de riesgo individual. Anuario de Psicología Jurídica, 24 , 37–42. doi:10.1016/j.apj.2014.07.012. Peters, J. R., Smart, L. M., Eisenlohr-Moul, T. A., Geiger, P. J., Smith, G. T., & Baer, R. A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. Journal of Clinical Psychology, 71 (9), 871–884. doi:10.1002/jclp.22189. Raine, A., Dodge, H., Loeber, R., Gatzke-Kopp, L., Lynam, D., Reynolds, C., & Liu, J. (2006). The Reactive-Proactive Aggression Questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32 (2), 159–171. doi:10.1002/ab.20115. Robles, R., & Páez, F. (2003). Estudio sobre la traducción al español y las propiedades psicométricas de las escalas de afecto positivo y negativo (PANAS). Salud Mental, 26 (1), 69–75. Retrieved from: http://www.redalyc.org/articulo.oa?id=58212608. Satorra, A., & Bentler, P. M. (2010). Ensuring positiveness of the Scaled Difference Chi-square Test Statistic. Psychometrika, 75 (2), 243–248. doi:10.1007/s11336-009-9135-y. Smeets, K. C., Oostermeijer, S., Lappenschaar, M., Cohn, M., van der Meer, J. M., Popma, A., & Buitelaar, J. K. (2016). Are Proactive and Reactive Aggression Meaningful Distinctions in Adolescents? A Variable-and Person-Based Approach. Journal of abnormal child psychology, 45 (1), 1–14. doi:10.1007/s10802-016-0149-5. Stoltz, S., Cillessen, A. H. N., van der Berg, I. H. M., & Gommans, R. (2016). Popularity differentially predicts reactive and proactive aggression in early adolescence. Aggressive Behavior, 42 , 29–40. doi:10.1002/ab.21603. Sukhodolsky, D. G., Golub, A., & Cromwell, E. N. (2001). Development and validation of the anger Rumination Scale. Personality and Individual Differences, 31 , 689–700. doi:10.1016/S0191-8869(00)00171-9. Swogger, M. T., Walsh, Z., Christie, M., Priddy, B. M., & Conner, K. R. (2015). Impulsive versus premeditated aggression in the prediction of violent criminal recidivism. Aggressive Behavior, 41 , 346–352. doi:10.1002/ab.21549. Tuvblad, C., Dhamija, D., Berntsen, L., Raine, A., & Liu, J. (2016). Cross-cultural validation of the Reactive-Proactive Aggression Questionnaire (RPQ) using four large samples from the US, Hong Kong, and China. Journal of Psychopathology and Behavioral Assessment, 38 (1), 48–55. doi:10.1007/s10862-015-9501-2. Vitaro, F., Brendgen, M., & Tremblay, R. E. (2002). Reactively and proactively aggressive children: Antecedent and subsequent characteristics. Journal of Child Psychology and Psychiatry, 43 (4), 495–505. doi:10.1111/1469-7610.00040. Watson, D., Clark, L., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54 , 1063–1070. doi:10.1037/0022-3514.76.5.820. White, B. A., & Turner, K. A. (2014). Anger rumination and effortful control: Mediation effects on reactive but not proactive aggression. Personality and Individual Differences, 56 , 186–189. doi:10.1016/j.paid.2013.08.012. White, S. T., & Frick, P. J. (2010). Callous – unemotional traits and their importance to causal models of severe antisocial behavior in youths. In R.T. Salekin and D.T. Lynam (eds), Handbook of child and adolescent psychology (pp. 135-156). Nueva York: The Gilford Press. Yuan, K. H., Marshall, L. L., & Bentler, P. M. (2002). A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers. Psychometrika, 67 (1), 95–121. doi:10.1007/bf02294711.
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spelling Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
Analisis factorial e invarianza según edad y género del cuestionario The Reactive - Proactive Aggression Questionnaire (RPQ)
Artículo de revista
invarianza
análisis factorial
agresión proactiva
agresión reactiva
Agresión
La agresión reactiva se caracteriza por una elevada activación emocional, impulsividad y hostilidad, mientras que la agresión proactiva presenta una estrategia fría, instrumental y planificada. El objetivo fue realizar un análisis psicométrico del Reactive-Proactive Aggression Questionnaire [RPQ]. Se conformó una muestra no probabilística de 502 personas entre 18 y 40 años, agrupadas por sexos (n=297, 59.2% mujeres y n=205, 40.8% hombres) y edades (n= 224, 44.62% menores de 25 años y n=278, 55.38% mayores de 25 años). Los instrumentos fueron el RPQ, una escala de rumiación-ira (ARS) y una de afecto (PANAS) en formato impreso. En este estudio instrumental psicométrico se encontró que el RPQ se ajusta mejor en un modelo de dos factores interrelacionados con covarianzas residuales (CFI = .928, RMSEA = .044), presenta correlaciones significativas con el afecto negativo y la rumiación-ira, como evidencias de validez de criterio concurrente, en especial con la agresión reactiva (rumiación-ira r=.542, y afecto negativo r=.359). Además, el test no fue invariante entre sexos y edades, dado que el mejor ajuste estuvo en el sexo masculino y menores de 25 años (∆CFI < 0.01, ∆RMSEA < 0.015). Se concluyó que las mujeres y los adultos mayores de 25 años presentan un perfil de respuesta agresiva diferente. Estos hallazgos representan nuevas direcciones de investigación en torno a la medición de la conducta agresiva y el desarrollo de intervenciones diferenciales por sexos para los adolescentes y adultos jóvenes.
http://purl.org/coar/resource_type/c_6501
info:eu-repo/semantics/article
Andreu, J., Peña, M., & Ramírez, J. (2009). Cuestionario de agresión reactiva y proactiva: Un instrumento de medida de la agresión en adolescentes. Revista de Psicopatología y Psicología Clínica, 14 (1), 37–49. Retrieved from: http://www.aepcp.net/arc/(4)_2009(1)_Andreu_Pena_Ramirez.pdf. Ang, R. P., Huan, V. S., Li, X., & Chan, W. T. (2016). Factor structure and invariance of the reactive and proactive aggression questionnaire in a large sample of young adolescents in Singapore. Child Psychiatry and Human Development, 47 (6), 883–889. doi:10.1007/s10578-015-0619-y. Barker, E. D., Tremblay, R. E., Nagin, D. S., Vitaro, F., & Lacourse, E. (2006). Development of male proactive and reactive physical aggression during adolescence. Journal of Child Psychology and Psychiatry, 47 (8), 783–790. doi:10.1111/j.1469-7610.2005.01585.x. Brugman, S., Cornet, L. J., Smeijers, D., Smeets, K., Oostermeijer, S., Buitelaar, J. K., & Jansen, L. M. (2017). Examining the reactive proactive questionnaire in adults in forensic and non-forensic settings: A variable-and person-based approach. Aggressive Behavior, 43 (2), 155–162. doi:10.1002/ab.21671. Byrne, B. M., & van de Vijver, F. J. R. (2010). Testing for measurement and structural equivalence in largescale cross-cultural studies: Addressing the issue of nonequivalence. International Journal of Testing, 10 (2), 107–132. doi:10.1080/15305051003637306. Cauffman, E., Skeem, J. L., Dmitrieva, J., & Cavanagh, C. (2016). Comparing the stability of psychopathy scores in adolescents versus adults: How often is “fledgling psychopathy” misdiagnosed? Psychology Public Policy and Law, 22 (1), 77–91. doi:10.1037/law0000078. Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14 (3), 464–304. doi:10.1080/10705510701301834. Colins, O. F. (2016). Assessing Reactive and Proactive Aggression in Detained Adolescents Outside of a Research Context. Child Psychiatry & Human Development, 47 (1), 159–172. doi:10.1007/s10578-015-0553-z. Crick, N. R., & Dodge, K. A. (1996). Social informationprocessing mechanisms in reactive and proactive aggression. Child Development, 67 , 993–1002. doi:10.2307/1131875. Dinic, B. M., & Raine, A. (2019). An Item Response Theory Analysis and Further Validation of the Reactive–Proactive Aggression Questionnaire (RPQ): The Serbian Adaptation of the RPQ. Journal of Personality Assessment, 1–11. doi:10.1080/00223891.2019.1573430. Dodge, K. A., & Coie, J. D. (1987). Social-informationprocessing factors in reactive and proactive aggression in childre’s peer groups. Journal of Personality and Social Psychology, 53 (6), 1146–1158. doi:10.1037/0022-3514.53.6.1146. Euler, F., Steinlin, C., & Stadler, C. (2017). Distinct profiles of reactive and proactive aggression in adolescents: Associations with cognitive and affective empathy. Child and Adolescent Psychiatry and Mental Health, 11 (1), 1. doi:10.1186/s13034-016-0141-4. Fung, A. L. C., Li, X., Ramírez, M. J., Lam, B. Y., Millana, L., & Fares-Otero, N. E. (2018). A crossregional study of the reactive and proactive aggression of youth in Spain, Uruguay, mainland China, and Hong Kong. Social Development, 27 (4), 748–760. doi:10.1111/sode.12305. Fung, A. L. C., Raine, A., & Gao, Y. (2009). Cross-cultural generalizability of the Reactive-Proactive Aggression Questionnaire (RPQ). Journal of Personality Assessment, 91 (5), 473–479. doi:10.1080/00223890903088420. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A multidisciplinary Journal, 6 , 1–55. doi:10.1080/10705519909540118. Hubbard, J. A., McAuliffe, M. D., Morrow, M. T., & Romano, L. J. (2010). Reactive and proactive aggression in childhood and adolescence: Precursors, outcomes, processes, experiences and measurement. Journal of Personality, 78 (1), 95–118. doi:10.1111/j.1467-6494.2009.00610.x. Li-Chung, L., Po-Hsien, H., & Li-Jen, W. (2017). Selecting path models in sem: A comparison of model selection criteria. Structural Equation Modeling: A multidisciplinary Journal, 24 (6), 855–869. doi:10.1080/10705511.2017.1363652. Lobbestael, J., Cima, M., & Arntz, A. (2013). The Relationship Between Adult Reactive and Proactive Aggression, Hostile Interpretation Bias, and Antisocial Personality Disorder. Journal of Personality Disorders, 27 (1), 53–66. doi:10.1521/pedi.2013.27.1.53. Marsee, M. A., & Frick, P. J. (2007). Exploring the cognitive and emotional correlates to proactive and reactive aggression in a sample of detained girls. Journal of Abnormal Child Psychology, 36 (6), 969–981. doi:10.1007/s10802-007-9147-y. Ortega-Andrade, N., Alcázar-Olán, R., Matías, O. M., Rivera-Guerrero, A., & Domínguez-Espinosa, A. (2017). Anger rumination scale: Validation in mexico. The Spanish Journal of Psychology, 20 (e1), 1–9. doi:10.1017/sjp.2016.105. Pang, J. S., Ang, R. P., Kom, D. M. Y., Tan, S. H., & Chiang, A. Q. M. (2013). Patterns of reactive and proactive aggression in young adolescents in singapore. Social Development, 22 (4), 794–812. doi:10.1111/sode.12024. Pechorro, P., Kahn, R. E., Ray, J. V., Raine, A., & Gonçalves, R. A. (2017). Psychometric Properties of the Reactive-Proactive Aggression Questionnaire among a sample of detained and community girls. Criminal Justice and Behavior, 44 (4), 531–550. doi:10.1177/0093854816686395. Penado, M., Andreu, J. M., & Peña, E. (2014). Agresividad reactiva, proactiva y mixta: análisis de los factores de riesgo individual. Anuario de Psicología Jurídica, 24 , 37–42. doi:10.1016/j.apj.2014.07.012. Peters, J. R., Smart, L. M., Eisenlohr-Moul, T. A., Geiger, P. J., Smith, G. T., & Baer, R. A. (2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. Journal of Clinical Psychology, 71 (9), 871–884. doi:10.1002/jclp.22189. Raine, A., Dodge, H., Loeber, R., Gatzke-Kopp, L., Lynam, D., Reynolds, C., & Liu, J. (2006). The Reactive-Proactive Aggression Questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32 (2), 159–171. doi:10.1002/ab.20115. Robles, R., & Páez, F. (2003). Estudio sobre la traducción al español y las propiedades psicométricas de las escalas de afecto positivo y negativo (PANAS). Salud Mental, 26 (1), 69–75. Retrieved from: http://www.redalyc.org/articulo.oa?id=58212608. Satorra, A., & Bentler, P. M. (2010). Ensuring positiveness of the Scaled Difference Chi-square Test Statistic. Psychometrika, 75 (2), 243–248. doi:10.1007/s11336-009-9135-y. Smeets, K. 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International Journal of Psychological Research - 2020
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https://revistas.usb.edu.co/index.php/IJPR/article/view/4190
International Journal of Psychological Research
Universidad San Buenaventura - USB (Colombia)
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Reactive aggression is characterized by high emotional activation, impulsivity, and hostility, while proactive aggression presents a cold, instrumental, and planned strategy. The aim was to perform a psychometric analysis of the Reactive-Proactive Aggression Questionnaire [RPQ]. A non-probability sample of 502 people between 18 and 40 years old was formed, grouped by sex (n=297, 59.2% women and n=205, 40.8% men) and age (n = 224, 44.62% under 25 years old and n=278, 55.38% over 25 years old). The instruments were the RPQ, the Anger Rumination Scale (ARS), and an affective scale (PANAS) in printed format. In this instrumental psychometric study, we found that the RPQ fits better in a model of two factors interrelated with residual covariances (CFI = .928, RMSEA = .044), presenting significant correlations with negative affect and anger rumination, as evidence of validity of concurrent criterion, especially with reactive aggression (anger rumination r = .542, and negative affect r = .359). Also, the test was not invariant between sexes and ages, given that the best fit was in the male sex and those under 25 years of age (∆CFI < 0.01, ∆RMSEA < 0.015). We concluded that women and adults over the age of 25 have a different aggressive response profile. These findings represent new directions of research around the measurement of aggressive behavior and the development of gender differentiated interventions for adolescents and young adults. 
Toro Tobar, Ronald Alberto
García-García, Juan
Journal article
Zaldívar- Basurto, Flor
Aggression
1
13
invariance
reactive aggression
proactive aggression
factor analysis
https://revistas.usb.edu.co/index.php/IJPR/article/download/4190/3660
2020-01-20
https://revistas.usb.edu.co/index.php/IJPR/article/download/4190/3547
2020-01-20T22:24:32Z
62
https://doi.org/10.21500/20112084.4190
10.21500/20112084.4190
2011-7922
2011-2084
2020-01-20T22:24:32Z
70