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Rev. psicol. clín. niños adolesc ; 8(2): 23-28, May. 2021. tab, ilus
Article in Spanish | IBECS | ID: ibc-218335

ABSTRACT

El objetivo de la presente investigación fue evaluar las propiedades psicométricas de la Escala de Adicción al Internet de Lima (EAIL) con escolaresmexicanos de educación media superior. La muestra estuvo formada por 1596 estudiantes (57% mujeres) con edades entre 14 y 20 años (M =15.94; DE = 1.07). Se administró la EAIL en nueve centros escolares distribuidos en todas las delegaciones de Tijuana. Los resultados muestranque el instrumento posee buena consistencia interna con α = .82 y ω = .83. Aunque la escala original tiene estructura bifactorial, en esta inves-tigación presentó una estructura de tres factores que explican el 58.6% de la varianza total. El análisis factorial confirmatorio arrojó unos índicesGFI = .95; CFI = .93, RMSEA = .07, NFI = .91, AGFI = .92, RMR = .03. Se concluyó que la Escala de Adicción al Internet de Lima posee buenaspropiedades psicométricas y es útil para la evaluación precoz de la adicción a internet en estudiantes mexicanos.(AU)


The aim of this research was to evaluate the psy-chometric properties of the Lima Internet Addiction Scale (EAIL) with Mexican teenagers’ students of high school education. The sample consistedof 1,596 students (57% female) aged between 14 and 20 years (M = 15.94; SD = 1.07). The EAIL was administered in nine schools distributed inall the delegations of Tijuana. The results show that the measure has good internal consistency with α = .82 and ω = .83. The original scale that hasa bifactorial structure, in this research it presented a structure of 3 factors that explain 58.6% of the total variance. The confirmatory factor analysisfound: GFI = .95; CFI = .93; RMSEA = .07; NFI = .91; AGFI = .92; RMR = .03. It was concluded that the Lima Internet Addiction Scale has goodpsychometric properties and is useful for the prior evaluation of internet addiction in students.(AU)


Subject(s)
Humans , Male , Female , Child , Adolescent , Psychometrics , Internet , Psychology, Adolescent , Psychology, Child , Affect , Information Technology , Behavior, Addictive , Mexico , Factor Analysis, Statistical
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