Social Aggressiveness Scale in Adolescents: Validity, Reliability and Determining Factors
Keywords:
validity, reliability, determining factors, aggressivenessAbstract
Introduction: Aggressiveness is a manifestation of violence that is most frequently evident in adolescence. An instrument is required that allows identifying behavioral problems in a premeditated and impulsive way, to establish an adequate coexistence.
Objective: Determine the validity, reliability and determining factors of the social aggressiveness scale using an adolescent-oriented approach.
Methods: Instrumental study carried out on 2184 students (49.04 % women), aged from 14 to 17 years (M = 15.39; SD = 0.98), distributed in two parts: validity and reliability (1100) and determining factors (1084). The measurement instrument was the Premeditated and Impulsive Aggression Questionnaire in Adolescents.
Results: The questionnaire had a unifactor model with a McDonald's omega coefficient of 0.85; an average trend was obtained in relation to the levels of aggressiveness, and statistically significant differences were found in relation to sex and the activities carried out in their free time, with a higher average range for men, and in those who spend more time on social networks.
Conclusions: The social aggressiveness scale represents a useful instrument that should be considered in the educational field to identify behavioral problems.
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References
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25. Cruz A, Castro – Rodríguez A, Rundle B, Berrios – Torres I, Abrunhosa R, Barbosa F, Standford M. Versatility and exploratory psychometric properties of the Impulsive/Premeditated Aggression Scale (IPAS): A review. Aggress. Violent Behav. 2019; 47: 12-20. Available from: https://doi.org/10.1016/j.avb.2019.03.003
26. Tudkuea T, Laeheem K, Sittichai R. Development of a causal relationship model for cyber bullying behaviors among public secondary school students in the three southern border provinces of Thailand. Child. Youth Serv. Rev. 2019; 102: 145-149. Available from: https://doi.org/10.1016/j.childyouth.2019.05.013
27. Song M, Zhu Z, Liu S, Fan H, Zhu T, Zhang L. Effects of aggressive traits on cyberbullying: Mediated moderation or moderated mediation?. Comput Human Behav 2019; 97: 167–178. Disponible en: https://doi.org/10.1016/j.chb.2019.03.015
28. Zhang C, Xu W, Lu H. Longitudinal relationship between inferiority and aggression in Chinese college students: The moderation of left-behind experience. Pers Individ Dif. 2020; 156: 109791. Disponible en: https://doi.org/10.1016/j.paid.2019.109791
29. Zhang J, Slesnick N. Academic performance and delinquent and aggressive behaviors among children with substance using mothers. Child. Youth Serv. Rev. 2020; 109: 104683. Disponible en: https://doi.org/10.1016/j.childyouth.2019.104683
30. Dowsett A, Jackson M. The effect of violence and competition within video games on aggression. Comput Human Behav. 2019; 99: 22-27. https://doi.org/10.1016/j.chb.2019.05.002
31. Lin S, Yu C, Chen J, Zhang W, Cao L, Liu L. Predicting adolescent aggressive behavior from community violence exposure, deviant peer affiliation and school engagement: A one-year longitudinal study. Child. Youth Serv. Rev. 2020; 111: 104840. Available from: https://doi.org/10.1016/j.childyouth.2020.104840
32. Lee P, Bierman K. Longitudinal trends and year-to-year fluctuations in student–teacher conflict and closeness: Associations with aggressive behavior problems. J. Sch. Psychol. 2018; 70: 1–15. Available from: https://doi.org/10.1016/j.jsp.2018.06.002
33. Nikel L. Submissiveness, assertiveness and aggressiveness in school-age children: The role of self-efficacy and the Big Five. Child. Youth Serv. Rev. 2020; 110. Available from: https://doi.org/10.1016/j.childyouth.2020.104746
34. Lei H, Ming C, Cui Y, Li S, Lu M. Changes in aggression among mainland Chinese elementary, junior high, and senior high school students across years: A cross-temporal meta-analysis. Aggress. Violent Behav. 2019; 48: 190-196. Available from: https://doi.org/10.1016/j.avb.2019.08.014
2. Sil E. The effects of therapeutic group drumming with Korean middle school students on aggression as related to school violence prevention. Arts Psychother. 2019; 66: 101583. Available from: https://doi.org/10.1016/j.aip.2019.101583
3. García M, Ríos M, Carrillo C, Sabuco E. The moderating role of resilience in the relationship between academic burnout and the perception of psychological health in nursing students. Educ. Psychol. 2018; 38(1): 1-13. Available from: http://dx.doi.org/10.1080/01443410.2015.1044944
4. Pinel – Martínez C, Pérez – Fuentes M, Carrión – Martínez J. Relación entre género, resiliencia y autoconcepto académico y social en la adolescencia. J. Educ. Psychol. 2019; 14(2): 112-123. Disponible en: https://doi.org/10.23923/rpye2019.02.176
5. Prendergast B, Zucker I. Social behavior: Developmental timing defies puberty. Curr Biol 2018; 28(9): 553-555. Available from: https://doi.org/10.1016/j.cub.2018.03.040
6. Chu A. Adolescent reactive and proactive aggression, and bullying in Hong Kong: Prevalence, psychosocial correlates, and prevention. J Adolesc Health 2019; 64: S65−S72. Disponible en: https://doi.org/10.1016/j.jadohealth.2018.09.018
7. Martínez A, Ruiz-Rico G, Zurita F, Chacón R, Castro M, Cachón J. Actividad física y conductas agresivas en adolescentes en régimen de acogimiento residencial. Suma Psicol. 2017; 24: 135-141. Disponible en: http://dx.doi.org/10.1016/j.sumpsi.2017.02.002
8. Aloba O, Opakunle T, Ogunrinu O. Childhood Trauma Questionnaire-Short Form (CTQ-SF): Dimensionality, validity, reliability and gender invariance among Nigerian adolescents. Child Abuse Negl. 2020; 101: 104357. Available from: https://doi.org/10.1016/j.chiabu.2020.104357
9. Bouquet G, García – Méndez M, Díaz – Loving R, Rivera – Aragón S. Conceptuación y medición de la agresividad: validación de una escala. Rev. colomb. psicol. 2019; 28: 115-130. Disponible en: https://doi.org/10.15446/rcp.v28n1.70184
10. Reyes J, Hernández D, Juárez I, Tovilla C, López L, Villar M, González T, Fresan A. Evaluación psicológica de la agresividad impulsiva/predeterminada y factores asociados: Un estudio transversal en usuarios de los servicios de salud en Tabasco, México. Salud mental 2016; 39(1). Disponible en: https://doi.org/10.17711/SM.0185-3325.2015.064
11. Thomas R. College student peer aggression: A review with applications for colleges and universities. Aggress. Violent Behav. 2019; 48: 218-229. Disponible en: https://doi.org/10.1016/j.avb.2019.08.013
12. Roser A, Suriá R, Mateo M. Problemas de conducta infantil y competencias parentales en madres en contextos de violencia de género. Gac. Sanit. 2018; 32(1): 35-40. Disponible en: https://doi.org/10.1016/j.gaceta.2017.02.004
13. Kashy G, Aizenkot D. Exposure to cyberbullying in WhatsApp classmates‘groups and classroom climate as predictors of students‘sense of belonging: A multi-level analysis of elementary, middle and high schools. Child. Youth Serv. Rev. 2020; 108: 104614. Available from: https://doi.org/10.1016/j.childyouth.2019.104614
14. Li Y, Binti N, Binti Z, Zhang L, Roslan S. Effectiveness of group interpersonal psychotherapy for decreasing aggression and increasing social support among Chinese university students: A randomized controlled study. J. Affect. Disord. 2018; 251: 274-279. Available from: https://doi.org/10.1016/j.jad.2018.12.051
15. Portnow S, Downer J, Brown J. Reductions in aggressive behavior within the context of a universal, social emotional learning program: Classroom- and student-level mechanisms. J. Sch. Psychol. 2018; 68: 38–52. Available from: https://doi.org/10.1016/j.jsp.2017.12.004
16. Lessels J, Bishop T. A post-event stratified random sampling scheme for monitoring event-based water quality using an automatic sampler. J. Hydrol. 2020; 580: 123393. Available from: https://doi.org/10.1016/j.jhydrol.2018.12.063
17. Andreu J, Peña M, Ramírez J. Cuestionario de agresión reactiva y proactiva: un instrumento de medida de la agresión en adolescentes. Rev. Psicopatol. Psicol. Clin. 2009; 14(1): 37-49. Disponible en: https://doi.org/10.5944/rppc.vol.14.num.1.2009.4065
18. Gálvez P, Boleto A, Romero R. Validación de la versión reducida del CECASDEP en usuarios de servicios deportivos. Suma Psicol. 2015; 22(2): 78-85. Disponible en: https://doi.org/10.1016/j.sumpsi.2015.08.001
19. Chung – Ying L, Jung – Der W, Ming – Chyi P, Li – Jung K. Measuring burden in dementia caregivers: Confirmatory factor analysis for short forms of the Zarit Burden Interview. Arch Gerontol Geriatr. 2017; 68: 8-13. Available from: https://doi.org/10.1016/j.archger.2016.08.005
20. Kudo S, Fujimoto M, Sato T, Nagano A. Determination of the optimal number of linked rigid-bodies of the trunk during walking and running based on Akaike’s information criterion. Gait Posture. 2020; 77: 264-268. Available from: https://doi.org/10.1016/j.gaitpost.2020.02.009
21. Barrera – Barrera R, Navarro – García A, Peris – Ortiz M. El papel de la invarianza factorial en la validación del constructo calidad de servicio electrónico.
Rev. europe. direc. econom. empres. 2015; 24 (1): 13-24. Disponible en: https://doi.org/10.1016/j.redee.2014.07.001
22. Oliveira T, Benedita C. Dataset for understanding why people share their travel experiences on social media: Structural equation model analysis. Data Brief 2020; 30: 105447. Available from: https://doi.org/10.1016/j.dib.2020.105447
23. Burga – León A, Escurra – Mayaute M. Propiedades psicométricas de la escala de deseabilidad social de Marlowe y Crowne en docentes peruanos. Liberabit 2017; 23(2): 189-210. Disponible en: https://doi.org/10.24265/liberabit.2017.v23n2.03
24. Shapka J, Maghsoudi R. Examining the validity and reliability of the cyber-aggression and cyber-victimization scale. Comput Human Behav 2017; 69: 10-17. Available from: http://dx.doi.org/10.1016/j.chb.2016.12.015
25. Cruz A, Castro – Rodríguez A, Rundle B, Berrios – Torres I, Abrunhosa R, Barbosa F, Standford M. Versatility and exploratory psychometric properties of the Impulsive/Premeditated Aggression Scale (IPAS): A review. Aggress. Violent Behav. 2019; 47: 12-20. Available from: https://doi.org/10.1016/j.avb.2019.03.003
26. Tudkuea T, Laeheem K, Sittichai R. Development of a causal relationship model for cyber bullying behaviors among public secondary school students in the three southern border provinces of Thailand. Child. Youth Serv. Rev. 2019; 102: 145-149. Available from: https://doi.org/10.1016/j.childyouth.2019.05.013
27. Song M, Zhu Z, Liu S, Fan H, Zhu T, Zhang L. Effects of aggressive traits on cyberbullying: Mediated moderation or moderated mediation?. Comput Human Behav 2019; 97: 167–178. Disponible en: https://doi.org/10.1016/j.chb.2019.03.015
28. Zhang C, Xu W, Lu H. Longitudinal relationship between inferiority and aggression in Chinese college students: The moderation of left-behind experience. Pers Individ Dif. 2020; 156: 109791. Disponible en: https://doi.org/10.1016/j.paid.2019.109791
29. Zhang J, Slesnick N. Academic performance and delinquent and aggressive behaviors among children with substance using mothers. Child. Youth Serv. Rev. 2020; 109: 104683. Disponible en: https://doi.org/10.1016/j.childyouth.2019.104683
30. Dowsett A, Jackson M. The effect of violence and competition within video games on aggression. Comput Human Behav. 2019; 99: 22-27. https://doi.org/10.1016/j.chb.2019.05.002
31. Lin S, Yu C, Chen J, Zhang W, Cao L, Liu L. Predicting adolescent aggressive behavior from community violence exposure, deviant peer affiliation and school engagement: A one-year longitudinal study. Child. Youth Serv. Rev. 2020; 111: 104840. Available from: https://doi.org/10.1016/j.childyouth.2020.104840
32. Lee P, Bierman K. Longitudinal trends and year-to-year fluctuations in student–teacher conflict and closeness: Associations with aggressive behavior problems. J. Sch. Psychol. 2018; 70: 1–15. Available from: https://doi.org/10.1016/j.jsp.2018.06.002
33. Nikel L. Submissiveness, assertiveness and aggressiveness in school-age children: The role of self-efficacy and the Big Five. Child. Youth Serv. Rev. 2020; 110. Available from: https://doi.org/10.1016/j.childyouth.2020.104746
34. Lei H, Ming C, Cui Y, Li S, Lu M. Changes in aggression among mainland Chinese elementary, junior high, and senior high school students across years: A cross-temporal meta-analysis. Aggress. Violent Behav. 2019; 48: 190-196. Available from: https://doi.org/10.1016/j.avb.2019.08.014
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Published
2024-04-25
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Carranza Escudero AY, Mejia Pinedo davis A, Castillo Saavedra EF, Reyes Alfaro CE, Perez León Camborda JR. Social Aggressiveness Scale in Adolescents: Validity, Reliability and Determining Factors. Rev. Hosp. Psiq. Habana [Internet]. 2024 Apr. 25 [cited 2025 Aug. 18];21(1). Available from: https://revhph.sld.cu/index.php/hph/article/view/497
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