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Artículo científico / Research paper<= /span>

 

Bullying y cyberbullying escolar en niños y jóve= nes adolescentes: un estudio de caso

 

School bullying and cyberbullying in children and young adolescents: a case study

 

Miriam C. Ordóñez-Ordóñez = , Katerine D. Prado Cab= rera

Facultad de Psic= ología, Universidad de Cuenca, Cuenca, Ecuador.

Autor para correspondencia: miriam.ordonez@ucuenca.edu.ec

Fecha de recepción: 17 de may= o de 2019 - Fecha de aceptación: 2 de octubre de 2019

 

 

RESUMEN

El objetivo de la investigación fue identificar la incidencia de bullying y cyberbullying en = 983 estudiantes de 10 a 15 años de edad, del sexto al décimo año de EGB, pertenecientes a cinco instituciones educativas de la ciudad de Cuenca, par= a lo cual se cruzaron las variables de bullying y cyberbullying con la edad, el = sexo y nivel educativo de los estudiantes encuestados, visualizando la implicaci= ón de los protagonistas, la tipología y sus manifestaciones. La metodología utilizada fue cuantitativa, con alcance descriptivo relacional, haciendo us= o de dos instrumentos de medición: la escala European Bullying Intervention Proj= ect Questionnaire (EBIPQ) y la escala European Cyberbullying Intervention Proje= ct Questionnaire (ECIPQ), que permitieron identificar la incidencia y características del bullying y cyberbullying. Se evidenció un 28.3% de estudiantes víctimas de acoso escolar, de ellos un 20.7% eran víctimas de bullying, un 4.3% cibervíctimas y un 3.4% víctimas tanto de bullying como de ciberbullying. En el bullying la principal tipología presente era la verbal directa, en tanto que en el cyberbullying su principal manifestación fueron= los insultos electrónicos y la exclusión. Se visualizó un mayor nivel de implicación de los varones como víctimas y agresores victimizados, en cuant= o a la edad, los estudiantes de 12 a 15 años pertenecientes al octavo, noveno y décimo año presentaron un mayor grado de implicación como ciberagresores victimizados. En conclusión, se puede evidenciar que existe una mayor prese= ncia del acoso escolar tradicional y una menor incidencia del cyberbullying, no obstante, parecería presentarse una relación directa entre las dos modalida= des de acoso escolar.

Palabras clave: Acoso escolar, cyberbullying, acosador, víctima, acosador-victimizado.=

 

 

ABSTRACT

The objective of the research was to identify the incidence of bully= ing and cyberbullying in 983 students at age 10 to 15, from the sixth to the te= nth grade of EGB, belonging to five educational institutions in the city of Cue= nca, for which the variables of bullying and cyberbullying were crossed with age, sex and educational level of the surveyed students, visualizing the involve= ment of the protagonists, the typology and its manifestations. The methodology u= sed was quantitative, with relational descriptive scope, making use of two measurement instruments: The European Bullying Intervention Project Questionnaire (EBIPQ) and the European Cyberbullying Intervention Project Questionnaire (ECIPQ), which allowed to identify the incidence and characteristics of bullying and cyberbullying. There was evidence of 28.3% = of students’ victim of bullying, of them 20.7% were victim of bullying, 4.3% c= yber victim and 3.4% victim of both bullying and cyberbullying. In bullying the = main typology was direct verbal, while in cyberbullying its main manifestation w= ere electronic insults and exclusion. A higher level of involvement of males was seen as victims and victimized aggressors. In terms of age, the 12- to 15-year-old students belonging respectively to the eighth, ninth and tenth grade presented a higher level of involvement as victimized cyber attackers= . In conclusion, there is a greater presence of traditional school bullying and a lower incidence of cyberbullying, however, a direct relationship between the two forms of bullying seems to be present.

Keywords: Bullying, cyberbullying, stalker, victim, victim= ized stalker.

 

 


1.         INTRODUCCIÓN<= /o:p>

 

El acoso escolar es toda agresión física, verbal o psicológica de un niño o grupo de niños ejerce en contra de otro, acción que se repite y se mantiene en el tiempo. El acoso, como toda forma de violencia, afecta a los niños y adolescentes limitando un desarrollo psicológico saludable, un adec= uado aprendizaje escolar y la inclusión en la sociedad. Es un fenómeno psicosoci= al multicausal, con una dinámica propia, cuya configuración involucra a tres actores (víctima, acosador, espectador), un contexto socioeducativo y al sistema educativo como tal. No es un fenómeno exclusivo del contexto educat= ivo, es un reflejo de un dolor social (Kaplan, 2018), de un dolor que crece y se intensifica logrando instaurarse y plasmarse en el ámbito educativo y en su clima escolar.

Las características que lo identifican son: la repetición y mantenimiento en el tiempo (agresión sistemática, deliberada y repetitiva) = y la asimetría de poder (desequilibrio económico, social o físico) entre víctima= y acosador. Se encuentra afianzado en dos leyes: a) la ley del silencio (víct= ima y espectador callan por temor a las represalias o porque lo sienten como un problema ajeno), y b) la ley de dominio-sumisión. En este entramado relacio= nal la víctima se siente intimidada, excluida y débil, dado que las agresiones = se intensifican progresivamente, las mismas que se presentan en su mayoría en privado (Mendoza, 2014). La víctima puede ser cualquier niño que presente características diversas al grupo y se deje afectar, no necesariamente “car= ece de habilidades sociales, con poca autoestima e introvertido … cualquier ras= go diferenciador es susceptible de ser utilizado por quien acosa para converti= r a otro niño en blanco de sus burlas” (Castro & Reta, 2014, p. 54), en esta dinámica difusa el niño víctima en su intento de escapar del acoso puede terminar acosando como un desfogue catártico de su malestar.

El acoso escolar presenta una gran variedad de causas sociales, contextuales, personales (patrones conductuales de estrategias de afrontamiento) y familiares, a su vez consecuencias fundamentalmente para la víctima que abarcan desde un estado inicial de letargo, tristeza y flashbac= ks que van avanzando a un estado de ansiedad, distimia y depresión, acompañada= de somatizaciones (dolor de cabeza, dolor de estómago, náuseas, vómitos y poliuria), no querer ir a la escuela, bajar su rendimiento escolar, tener pesadillas nocturnas, miedo, entre otros (Ordóñez, Mora, & Pacheco, 201= 6; Mendoza, 2014).

Es un fenómeno complejo por su gran variedad de tipologías y manifestaciones, se presenta como acoso escolar tradicional (bullying) y también puede presentarse como cyberbullying. En lo referente al bullying tradicional, este puede ser: a) físico directo generado con la intención de producir daño o lesiones físicas, se manifiesta a través de: golpes, patada= s, pellizcos, empujones y escupir, b) verbal directo que genera daño emocional= en las víctimas, se presenta mediante insultos, rumores, chismes, c) verbal indirecto, a través de amenazas, d) daño a la propiedad del otro, por medio= del robo o daño de las pertenencias y e) relacional que consiste en excluir socialmente a la víctima, su principal manifestación es el aislamiento (Ortega-Ruiz, 1997; Olweus, 1989; Mendoza, 2014).

El cyberbullying se caracteriza por el uso de instrumentos informáti= cos (internet, celular, redes sociales) con la finalidad de generar un daño constante y permanente, en donde el agresor mantiene el anonimato haciendo = uso de un nombre falso para no ser identificado, colocando a la víctima en un m= ayor nivel de indefensión debido al avance masivo del acoso (Mendoza, 2014). Las manifestaciones del cyberbullying, a pesar de que guardan relación con el b= ullying tradicional, tienen características propias. Según Barlett (2019) existen p= or lo menos cuatro características propias que hacen que el cyberbullying se diferencie del bullying tradicional. En primer lugar, está la percepción de anonimato que se produce en el cyberbullying; por ejemplo, se pueden hacen rumores, burlas e insultos sin que la víctima sepa quién dio paso a tales comportamientos negativos. La forma más generalizada de acoso cibernético es que muchos usuarios de Internet pueden crear nombres de usuarios falsos, direcciones de correo electrónico únicas y cuentas de redes sociales falsas, para ocultar su verdadera identidad cuando están en línea. La segunda característica diferenciadora refiere a la asimetría de poder en el caso del cyberbullying; esta diferencia no necesariamente es física, debido a que no existe contacto entre el cyberagresor y la cybervíctima, más bien se ha demostrado que los agresores de esta modalidad de violencia reconocen que p= or medio de los dispositivos electrónicos su fisonomía es irrelevante. La terc= era característica diferenciadora refiere a la repetitividad en el tiempo de las conductas agresivas. En el mundo virtual basta que se dé una publicación ofensiva contra otro, ésta podrá ser revisada y comentada por muchos otros. Finalmente, la cuarta característica hace referencia qué a diferencia del bullying tradicional, el cyberbullying no implica ningún tipo de contacto físico.

El cyberbullying se manifiesta a través de: a) insultos electrónicos/hostigamiento, haciendo uso de mensajes ofensivos, malintencionados y prosaicos, b) denigración, mediante la difusión de rumor= es inciertos que buscan dañar la reputación de la víctima, c) ciberpersecución, con el envío de mensajes amenazantes, d) suplantación de personalidad, haci= éndose pasar por la víctima para enviar mensajes maliciosos, e) acoso cibernético = por delegación /indirecto, haciendo uso de la cuenta de la víctima con la final= idad de enviar correos difamatorios a sus amigos, f) desvelamiento, mediante la difusión de secretos o imágenes, y g) exclusión, generando una exclusión intencionada de la víctima a nivel de los grupos de redes sociales (Giménez, Arnaiz, & Maquilon, 2013; Willard, 2005; Aftab, 2006; Mendoza, 2014).

El acoso escolar tradicional y el cyberbullying son dos modalidades = de acoso, la primera directa (offline) y la segunda indirecta (online) dado que hace uso de la tecnología, pero no por ello menos grave. A nivel internacio= nal las dos presentan una alta incidencia, evidenciable en varios estudios rela= cionados a la temática, en donde se visualiza la superposición entre el bullying y el cyberbullying, de manera específica en sus dos protagonistas: agresor y víctima, de tal manera que una víctima de acoso tradicional también puede s= er una cibervíctima (Garaigordobil, Martínez-Valderrey, Páez, & Cardozo, 2= 015; Castro & Reta, 2014; Herrera-López, Romera, & Ortega-Ruiz, 2017).

Se presentan una gran variedad de instrumentos que identifican la incidencia de bullying y cyberbullying, es así que, en el País Vasco, Machi= mbarrena & Garaigordobil (2018) aplicaron la escala Cyberbullying: screening of peer-harassment para determinar la prevalencia de bullying y cyberbullying = en estudiantes de primaria; en Murcia, González-Calatayud (2018) empleó el cuestionario Cyberbullying: screening of peer harassment, que le permitió identificar el porcentaje de cyberbullying, al igual que su tipología y manifestaciones. En su investigación Beltrán-Catalán, Zych, Ortega-Ruiz, &a= mp; Llorent (2018) describir en su estudio los diferentes patrones de victimiza= ción y la gravedad tanto de bullying como de cyberbullying, hicieron uso del European Bullying Intervention Project Questionnaire y el European Cyberbullying Intervention Project Questionnaire. Twardowska-Staszek, Zych, & Ortega-Ruiz (2018) realizaron una investigación en Polonia donde validaron los instrumentos European Bullying Intervention Project Questionn= aire y el European Cyberbullying Intervention Project Questionnaire. Analogo; Ortega-Ruiz, Del Rey, & Casas (2016) validaron en España las escalas European Bullying Intervention Project Questionnaire (EBIPQ) y el European Cyberbullying Intervention Project Questionnaire (ECIPQ). Ellos obteniendo buenas propiedades psicométricas y evidenciando la relación entre el bullyi= ng y cyberbullying (lo que los convierte en instrumentos idóneos para evaluar de forma conjunta estos dos fenómenos), y destacan la influencia del bullying sobre el cyberbullying, evidenciando que una víctima de bullying también pu= ede convertirse en víctima de cyberbullying. Finalmente, en Colombia Herrera-Ló= pez, Romera, & Ortega-Ruiz (2017) adaptaron y comprobaron las propiedades psicométricas de la escala European Bullying Intervention Project Questionn= aire (EBIPQ), y encontrando óptimas propiedades psicométricas para los factores = de victimización y agresión.

La escala European Bullying Intervention Project Questionnaire (EBIP= Q) permite identificar la prevalencia de implicación en bullying, sus protagonistas: víctima, agresor y agresor victimizado, su tipología (direct= a e indirecta) y sus manifestaciones: físicas (golpear, patear, empujar), verba= les (insultar, amenazar, decir palabras mal sonantes, difundir rumores), daño a= la propiedad del otro (robar y romper las cosas) y relacionales (exclusión). La escala European Cyberbullying Intervention Project Questionnaire (ECIPQ) visualiza las dimensiones de cibervictimización y ciberagresión, evidencian= do (por un periodo de tiempo de los dos últimos dos meses) sus manifestaciones= a nivel de: insultos electrónicos / hostigamiento, denigración, ciberpersecus= ión, acoso cibernético por delegación/indirecto, suplantación de identidad, desvelamiento y exclusión (Ortega-Ruiz et al., 2016).

En base a estos antecedentes investigativos se abren una serie de interrogantes ligadas a ¿cuál es la incidencia de bullying y cyberbullying = en nuestro contexto educativo?, en función de lo cual se ha planteado los siguientes objetivos de investigación:

-  Determinar = la incidencia de bullying y cyberbullying a nivel de víctimas, agresores y agresores victimizados;

-  Identificar= las manifestaciones de violencia desde la percepción de las víctimas y de los agresores; y

-  Comparar la implicación en bullying y ciberbullying entre hombres y mujeres, entre niño= s de 10 a 11 años y jóvenes adolescentes entre 12 y 15 años, y entre los diferen= tes grados.

 

 

2.         MATERIALES Y MÉTODOS

 

El presente= es un estudio de corte transversal, no experimental, con enfoque cuantitativo y alcance descriptivo relacional, en el que participaron niños y adolescentes= de Educación General Básica (EGB). Las variables incluidas en el estudio estuvieron conformadas por: a) características sociodemográficas como: sexo, edad, tipo de familia[1= ] y año de EGB, b) los protagonistas de acoso escolar: víctimas, agresores y agresores La población de estudio estuvo constituida por 983 niños= y adolescentes, de entre 10 y 15 años de edad, estudiantes de sexto a décimo = año de EGB pertenecientes a cinco Instituciones Educativas del casco urbano de = la ciudad de Cuenca, 4 de ellas eran fiscales y una privada; respectivamente la Unidad Educativa “A” con 252 estudiantes (25.6%), Unidad Educativa “B” con = 220 (22.4%), Unidad Educativa “C” con 286 (29.1%), Unidad Educativa “D” con 114 (11.6%), y la Unidad Educativa “E” con 111 (11.3%). De los cuales el 42.9% fueron mujeres (n=3D 422) y el 57% hombres (n=3D561), de entre 10 y 15 años= de edad. El 49.7% de estudiantes pertenecía a familias nucleares, el 23.6% a familias monoparentales maternas sin soporte[2] y con soporte de origen[3], el 15% a familias extendidas, el 4.5% a familias reconstituidas y el 1.7 % a familias monoparentales paternas sin soporte y con soporte de origen (ver T= abla 1).

La recolección de información inició con la obtención de= los permisos por parte de la Coordinación Zonal 6 de Educación y de las autorid= ades educativas, se coordinó con los directivos de cada institución y se solicit= ó el consentimiento informado debidamente firmado por los representantes de los estudiantes participantes, así como el asentimiento de los niños y adolescentes, cumpliendo las normas éticas en materia de investigación; lue= go se visitó el plantel para administrar el cuestionario. Se explicó a los estudiantes el propósito del estudio y se garantizó el carácter anónimo, confidencial y voluntario de su participación. La aplicación de los instrumentos se realizó de forma colectiva en el aula de clase, dos evaluad= ores por clase, el tiempo medio de cumplimentación de los cuestionarios fue de 30 minutos.=

Los datos se recolectaron mediante encuestas auto aplica= das empleando dos escalas: la escala European Bullying Intervention Project Questionnaire (EBIPQ) versión en español (Ortega-Ruiz et al., 2016) = y la escala European Cyberbullying Intervention Project Questionnaire (ECIPQ) versión en español (Ortega-Ruiz et al., 2016). El EBIPQ mide la incidencia de bullying, lo


 

 


integran 14 ítems, con cinco opciones de respuesta desde= 0 a 4 (tipo Likert), siendo 0=3Dnunca, 1=3Duna vez o dos veces, 2=3Duna o dos v= eces al mes, 3=3Dalrededor de una vez por semana, y 4=3Dmás de una vez a la semana.= Del total de ítems, 7 corresponden a situaciones de victimización y 7de agresión. = Los valores de consistencia interna (alpha de Cronbach) de la versión adaptada = al contexto, revelaron un alto grado de fiabilidad: α =3D .769 para los í= tems de victimización y α =3D .759 para los de agresor.

El ECIPQ mide= la incidencia de ciberbullying, está compuesto por 22 ítems de respuestas tipo Likert con cinco opciones desde 0 a 4, siendo 0=3Dnunca, 1=3Duna vez o dos = veces, 2=3Duna o dos veces al mes, 3=3Dalrededor de una vez por semana, y 4=3Dmás = de una vez a la semana. Del total de ítems, 11 se refieren a la cibervictimización y 1= 1 a la ciberagresión. La consistencia interna de la versión adaptada al contexto mostró una alta fiabilidad α =3D .840 para los ítems de cibervictimiza= ción y α =3D .732 para los de ciberagresión.<= /p>

En la sección= inicial de las escalas se incorporaron variables sociodemográficas como: sexo y eda= d. Para determin= ar los diferentes roles de implicación tanto en el bullying tradicional cuanto en = el cyberbullying se siguieron los criterios establecidos por los autores de las escalas: Brighi et al. (2012a, 2012b) y Del Rey et al. (2015)= :

-  Un estudian= te responde el rol de víctima o cibervíctima cuando los puntajes de respuesta = son iguales o superiores a 2 (una vez al mes) en cualquiera de los ítems de victimización, y con puntaje igual o menor que 1 (una o dos veces) en todos= los ítems de agresión.

-  Un estudian= te responde el rol de agresor o ciberagresor cuando sus puntuaciones son igual= es o superiores a 2 (una vez al mes) en cualquiera de los ítems de agresión, y c= on puntaje igual o menor que 1 (una o dos veces) en todos los ítems de victimización.

-  Un estudian= te responde el rol de agresor-victimizado y ciberagresor victimizado si obtuvi= eron puntuaciones iguales o superiores a 2 (una vez al mes) en al menos uno de l= os ítems de agresión y de victimización.

El análisis descriptivo de las variables de estudio integro frecuencias y porcentajes, = para el establecimiento de los factores asociados se hizo uso de la prueba de hipótesis chi-cuadrado, en el programa SPSS v. 25. El nivel de significancia utilizado fue de .05.

 

 

3.         RESULTADOS<= /p>

 

En primer lugar,= para conocer cómo se comportan los datos del instrumento EBIPQ y ECIPQ se aplicó= la prueba de Kolmogorov-Smirnov. Encontrándose valores en las puntuaciones globales con niveles de significación de .000. Esto permite rechazar la hipótesis de normalidad de datos, lo que sugiere el uso de pruebas no paramétricas para los análisis inferenciales (ver Tabla 2).

A nivel de re= sultados se encontró que el 28.3% (n=3D278) de estudiantes de la muestra son víctima= s de acoso escolar, el 20.7% (n=3D203) son víctimas de bullying exclusivamente, = el 4.3% (n=3D42) son cybervíctimas y el 3.4% (n=3D33) son víctimas de bullying= y cyberbullying.

 

3.1.      Re= sultados bullying

Se encontró u= n 24.1% (n=3D236) de víctimas de bullying, un 3.3% (n=3D32) de agresores y un 13.1%= (n=3D129) de agresores victimizados, con una implicación del 40.4%. A nivel de la percepción de las víctimas de bullying la tipología con mayor incidencia es= la verbal directa, seguida de la física, la relacional indirecta, el daño a la propiedad del otro, y en última instancia la verbal indirecta. En cuanto a = la percepción de los agresores se evidencia que en primera instancia se presen= ta la relacional indirecta seguida de la física, la verbal directa, y el daño = a la propiedad del otro; el acoso verbal indirecto (amenazas) a criterio del agr= esor no está presente. Tanto victimas como agresores coinciden en la presencia de las mismas tipologías de acoso escolar, en lo que difieren es en la tipolog= ía que presenta mayor incidencia. Para la víctima la de mayor incidencia es la verbal directa, y para el agresor es la relacional indirecta. Un nivel de coincidencia es la visualización de que el acoso verbal indirecto (amenazas= ) se encuentra en los mínimos porcentajes, evidenciándose una mínima tendencia a= la amenaza y una mayor tendencia a la ejecución del acto como tal (ver Tabla 3= ).

A pesar de qu= e se pudo observar una mayor incidencia de víctimas, agresores y agresores victimizados en los niños y adolescentes varones, solo en víctimas <= span style=3D'mso-bidi-font-size:9.0pt;line-height:107%;mso-fareast-font-family:= "Times New Roman"; mso-ansi-language:ES-EC;mso-fareast-language:ES-EC'>χ² (1. n=3D982)= =3D 8.58, p=3D0.003 y agresores victimizados= χ² (1. n=3D979)= =3D 11.123, p=3D0.001 fue la diferencia significativa. No existieron diferencias estadísticamente significativas en= tre víctimas, agresores y agresores victimizados con respecto a los grupos de e= dad. También, las diferencias encontradas en el número de los protagonistas en l= os diferentes grados no presentan diferencia estadísticamente significativa (v= er Tabla 4).

 

3.2.      Re= sultados de cyberbullying

Se encontró un 7= .7% (n=3D75) de cibervíctimas, un 2.8% (n=3D27) de ciberagresores, y un 4.9% (n= =3D48) de ciberagresores victimizados, que corresponde a una implicación total de 15.= 3% (n=3D150). Desde la percepción de la cibervíctima se observa con un mayor n= ivel de incidencia los insultos electrónicos (“Me han insultado”) y la exclusión (“Me han excluido, ignorado o bloqueado”), seguidos de la denigración (“Han hablado sobre mí para hacerme daño”, “han dicho chismes sobre mí”), y en un menor nivel de incidencia el desvelamiento (“alguien ha publicado videos o fotos comprometedoras sobre mí”). Desde la perspectiva del ciberagresor en primera instancia se encuentra la exclusión, seguido de los insultos electrónicos, la ciberpersecusión (“He amenazado a alguien”), la suplantaci= ón de personalidad (“He jaqueado y robado información”), el acoso cibernético = por delegación (“He jaqueado y me he hecho pasar por otro”), y con menores porcentajes la denigración mediante la propagación de chismes (ver Tabla 5).


 


A pesar de las a= parentes diferencias, no se puede afirmar que son significativas en relación con el número de hombres y mujeres cibervíctimas y ciberagresores; sin embargo, si= se presentó diferencia estadísticamente significativa en ciberagresores victimizados χ= ;² (1. n=3D982) =3D 6.6527, p=3D0.0099, siendo más frecuente en hombres. Con respecto a los grupos de edad sucede una situación similar. Existió diferencia con respecto a la edad de los ciberagresores victimizado= s χ² (2. n=3D983) =3D 6.459, p=3D0.011, siendo más frecuente en= los estudiantes de entre 12 y 15 años. En relación con los grados, se presentar= on diferencias en cibervíctimas χ² (3= . n=3D983) =3D 8.8472, p<0.0313; mas no= en ciberagresores y ciberagresores victimizados (ver Tabla 6).

 

 

4.         DISCUSIÓN

 

El primer obj= etivo pretendió determinar la incidencia de bullying y cyberbullying a nivel de víctimas. agresores y agresores victimizados.

Los resultados muestran una presencia mayor de acoso escolar tradicional y un menor nivel = de incidencia de cyberbullying. Un dato interesante es la presencia, aunque en porcentajes bajos, de niños y adolescentes víctimas tanto de bullying como = de cyberbullying. No obstante, es pertinente destacar que en el grupo de estud= io la incidencia del acoso escolar tradicional es mayor que el cyberbullying. A nivel del porcentaje de acoso escolar, este se encuentra dentro de los valo= res medios reportados para Latinoamérica, en tanto que el cyberbullying se encuentra dentro de los valores bajos en comparación a los reportados para Latinoamérica, Estados Unidos y Europa. Esta incidencia y relación es evidenciable en varios estudios; entre ellos el de Herrera-López et al. (2018) en su estudio bibliométrico sobre bullying y cyberbullying en Latinoamérica, visualizaron que numerosos estudios reportaron una prevalenc= ia de bullying entre el 20 y el 30 por ciento (similar a lo reportado en EE.UU= . y Europa). Con respecta al cyberbullying, se presentaba mayor diferencia en el rango; los valores oscilaban entre 2.5 y 42.5%, rangos que también van acor= des a lo reportado en EE.UU. y Europa. Al comparar ambas prevalencias, del bull= ying y del cyberbullying, los autores sugieren por un lado la posibilidad de que existan dinámicas similares en el desarrollo y la ocurrencia de ambos fenóm= enos sin notables diferencias a pesar de las distancias culturales, idiomáticas y geográficas; y por otro. en el caso del cyberbullying que posiblemente la brecha tecnológica entre países en vía de desarrollo y los desarrollados sea cada vez menor.

Muijs (2017) = en un estudio realizado en Reino Unido reportó que el 21% de la muestra estudiada= era víctima de bullying, mientras que el 11% informaba haber sido perpetuadores= de esta situación. García-Fernández, Romera-Félix, & Ortega-Ruiz (2016) consideran en función de los resultados de su investigación que el estar involucrados en problemas de cyberbullying parecería ser un factor relacion= ado con la implicación en problemas de acoso tradicional, dado que los agresore= s de cyberbullying tendían a ser víctimas en bullying tradicional y las víctimas= a través de vía electrónica se catalogaban como agresoras y agresoras victimizadas de bullying tradicional. Posiblemente, entre las razones por l= as que se justificarían estas relaciones en las que los ciberagresores puedan = ser víctimas de bullying tradicional, los autores adoptan la concepción de Ybar= ra & Mitchell (2004), quienes señalan que las Tecnologías de la Informació= n y Comunicación (TIC) cumplen un rol compensatorio de aquello que no pueden ha= cer cara a cara. En cuanto a las relaciones negativas entre estas dos variables= , se distingue cómo el grupo de los no implicados en cyberbullying tampoco suelen estarlo en el bullying tradicional y viceversa. Herrera-López et al. (2017) encontraron que la agresión en bullying influyó de manera directa so= bre la implicación en ciberagresión; de igual manera, la victimización incidió sobre la implicación en cibervictimización. Los autores sugieren que la participación en cyberbullying se ve influenciada parcialmente por la implicación en bullying tradicional, pero no en dirección opuesta; es decir, que si un adolescente está implicado en conductas de agresión a otros de fo= rma tradicional (bullying), tiene más probabilidades de implicarse en ciberagresión, pero también de convertirse en cibervíctima.

En su investi= gación realizada en España donde participaron 346 sujetos de entre 12 y 18 años, Nacimiento & Mora-Merchán (2014) evidenciaron que el 51.5% de los participantes habían sufrido con baja frecuencia (un máximo de dos veces al mes) episodios de cibervictimización y el 47.2% episodios de bullying tradicional. Sin embargo, las víctimas habituales (al menos una vez a la semana) comprendían el 28.2% en cyberbullying y el 40.6% de bullying tradicional.

En cuanto a la participación de los protagonistas en el acoso tradicional (bullying), exis= te una mayor presencia de víctimas, seguidas de víctimas y atacantes; mientras= que con respecto al cyberbullying hay una mayor implicación de cibervíctimas, seguida de ciberagresores victimizados y ciberagresores, que muestran una situación similar con el acoso escolar tradicional. El mayor nivel de implicación se presenta en las víctimas y agresores victimizados, no obstan= te, la implicación de las víctimas en el acoso escolar tradicional es mayor a la implicación de la cibervíctima; data que coincide con lo encontrado por var= ias investigaciones como la de Herrera-López et al. (2017). Esto autores realizado su estudio en la ciudad de Pasto, Colombia, con la participación = de 1931 adolescentes que cursaban la educación secundaria. Estos autores concluyeron que la implicación total en este fenómeno fue del 41.9%, en don= de el 23.4% de los estudiantes eran víctimas, el 4.5% agresores y el 14% agres= ores victimizados.

García-Fernán= dez et al. (2016) identificaron que el 76% de los estudiantes investigados mostraron una implicación en el fenómeno para todos los roles, siendo los m= ás activos (víctimas. agresores y agresores victimizados) aquellos que present= aron índices de participación bajos; las víctimas mostraron un índice de 12.4%, agresores de 19.9% y agresores victimizados de 15.4%. Para el cyberbullying, los datos presentaron una menor frecuencia; concretamente, el 31.2% de los escolares se autonominó como implicado en alguno de los diferentes roles. L= os datos evidenciaron que el 9.3% había sido víctima, un 5.5% agresores y un 3= .4% agresores victimizados.

El segundo objetivo consistía en identificar las manifestaciones de violencia desd= e la percepción de las víctimas y de los agresores.

Se evidencia = una coincidencia desde la perspectiva de la cibervictima y ciberagresor referen= te a que la tipología de cyberbullying con mayor incidencia son los insultos electrónicos y la exclusión; la exclusión también presentaba un alto nivel = de incidencia en el acoso escolar tradicional desde la perspectiva del agresor. Respecto al bullying tradicional se evidencia tanto desde la perspectiva de= la víctima cuanto del agresor como principales manifestaciones de acoso la ver= bal directa y la física (Aftab, 2006; Giménez et al., 2013; Ortega-Ruiz, 1997; Olweus, 1989; Willard, 2005). Los resultados coincidentes con los de Acosta & Cisneros (2019), quienes identificaron como principal tipologí= a de acoso escolar la verbal directa a través de manifestaciones centradas en los insultos, apodos, chismes y hablar mal de alguien. En cuanto al cyberbullyi= ng, la data es similar a la presentada por Machimbarrena & Garaigordobil (2= 018) quienes evidencian como principales manifestaciones de cibervictimización la recepción de mensajes ofensivos/insultantes, las llamadas anónimas para asustar, el chantaje y la difamación. En cuanto a la ciberagresión, identif= ican la presencia de un mayor porcentaje de envío de mensajes ofensivos/insultan= tes y la realización de llamadas anónimas con la finalidad de asustar. Parecería ser que el acoso verbal, manifestado en la presencia de insultos es un denominador común tanto en el bullying tradicional y el cyberbullying.=

El tercero= de los objetivos iba dirigido a comparar la implicación en bullying y ciberbullying entre hombres y mujeres, entre niños de 10 a 11 años y adolescentes entre 12 y 15 años, y entre los diferentes grados.<= /span>

Los resultados ligados al sexo identifican que existe una mayor implicación de los niños y adolescentes varones en los roles de víctimas y agresores victimizados de b= ullying. A nivel de cyberbullying existe una mayor implicación de los ciberagresores victimizados. Por tanto, el rol de agresor victimizado tanto en bullying co= mo en cyberbullying presentan un mayor nivel de implicación a nivel del sexo masculino, data coincidente con otros estudios a nivel de Latinoamérica. Es= así que Herrera-López et al. (2017) evidenciaron que los estudiantes var= ones son en mayor medida víctimas, agresores y agresores victimizados. Giménez <= i>et al. (2013) identifican un 9.8% de agresores con un ligero predominio de niños (55.3%) en relación a las niñas (44.7%).

En cuanto a l= a edad no existen diferencias estadísticamente significativas a nivel de la implicación de los estudiantes del grupo de estudio en los roles de bullyin= g. En lo referente a cyberbullying los ciberagresores victimizados de 12 a 15 = años presentan un mayor nivel de implicación; data que corresponde con investigaciones a nivel de Latinoamérica, especialmente en Colombia en donde Herrera-López et al. (2017) encontraron asociación significativa en = los agresores victimizados de 14 y 15 años. García-Fernández et al. (201= 6) coincide también que los estudiantes de 14 y 15 años presentan mayor implicación como cibervíctimas y ciberagresores.

En lo referen= te al grado de escolaridad no se presentan diferencias estadísticamente significativas en los roles de bullying de los estudiantes encuestados. No obstante, a nivel de cyberbullying se evidenció que los estudiantes de noveno, décimo y octavo= año de EGB presentan un mayor nivel de implicación como cibervíctimas; resultado semejante al evidenciado por Herrera-López et al. (2017), quienes identificaron que los estudiantes de octavo de básica se implicaron más como agresores y como agresores victimizados.

Los hallazgos revisten importancia para el ámbito educativo y social, dado que pueden ser= vir como línea base contextualizada para generar procesos de prevención e intervención psicoeducativa y psicosocial de este fenómeno.

Las limitaciones= de este estudio son propias de su carácter transversal de análisis, que puede reduc= ir la posibilidad de las inferencias relacionales, al igual que la interpretac= ión de la direccionalidad de las influencias visualizadas. Se presentan además limitaciones ligadas al uso y autoaplicación de las encuestas.

 

 

5.         CONCLUSIONES<= /o:p>

 

En términos generales se evidencia que el 28.3% de la muestra estudia= da ha sido víctima de acoso escolar, en su mayoría de la forma tradicional y en menor medida han sido víctimas de cyberbullying o de ambas, en cuanto a las manifestaciones desde la perspectiva de las víctimas. En el acoso escolar tradicional se evidenciaron primordialmente los insultos, mientras que en el ciberbullying se suma la violencia relacional (exclusión). Sin embargo, tam= bién se encontró presente en un porcentaje considerable la violencia verbal por medio de la propagación de chismes, rumores e insultos, y la violencia físi= ca. Tanto en víctimas de bullying como en los agresores victimizados, de bullyi= ng tradicional y ciberbullying, existen diferencias significativas entre hombr= es y mujeres, siendo en su mayoría varones. En cuanto a la relación con la edad = no existen diferencias significativas ni en víctimas ni agresores, tanto en bullying tradicional como en ciberbullying; más si lo hay en ciberagresores victimizados, teniendo en su mayoría edades comprendidas entre los 12 y 15 años. Otra de las diferencias significativas que se encontró fue en cibervíctimas con respecto al año de educación básica al que pertenecen, si= endo mayoritariamente de 9no. 10mo y octavo.

 

 

AGRADECIMIENTO

 

Es= te estudio se realizó en el marco del proyecto «Estrategias de afrontamiento de los niños víctimas frente a situaciones de acoso escolar y cyberbullying», ganador del XV concurso de proyectos de investiga= ción del Departamento de Investigación de la Universidad de Cuenca (DIUC) para q= uien va nuestro agradecimiento. De igual manera un agradecimiento muy especial a= la Coordinación Zonal 6 de Educación y a las autoridades educativas de la Instituciones Educativas participantes que posibilitaron la ejecución de la presente investigación.

 

 

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<= ![if !supportFootnotes]>[1]   Dato que permitió caracter= izar a la población de estudio.

<= ![if !supportFootnotes]>[2]   La madre educa sola a su h= ijo sin ningún apoyo familiar (Minuchin & Fishman, 1997).=

<= ![if !supportFootnotes]>[3]   La madre educa a su hijo c= on apoyo de su familia de origen: madre, padre, hermanos, o hijos mayores (Minuchin & Fishman, 1997).

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MASKANA, Vol. 10, No. 2, 3= 2–41, 2019

https://publicaciones.ucue= nca.edu.ec/ojs/index.php/maskana/article/view/2709

doi: 10.18537/mskn.10.02.05

© Author(s) 2019. CC Attribution 4.0 License.

<= o:p> 

  Publicado por DIUC - Dirección de Investigación de la Unive= rsidad de Cuenca                                                =          1

M. Ordóñez & K. Prado: Bull= ying y cyberbullying escolar en niños y jóvenes adolescentes

MASKANA, Vol. 10, No. 2, 32–41, 2019

doi: 10.18537/mskn.10.0= 2.05                                     =                                                                            =                                           12

R. Cazar et= al. Análisis cuantitat= ivo de una mezcla binaria

 

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