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Evidencias psicométricas de la Escala de Riesgo de Adicción-Adolescente en Redes Sociales e Internet en estudiantes peruanos

Translated title of the contribution: Psychometric Evidence of the Scale of Risk of Addiction to Social Networks and Internet for Adolescents in Peruvian Students
  • Universidad Peruana de Ciencias Aplicadas

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The aim of the study was to analyze the psychometric properties of the Adolescent- Risk of Addiction to Social Networks and Internet Scale (ERA-RSI) in Peruvian students. The sample was composed by 755 students (52.2% women), whose ages ranged from 13 to 24 years (M = 17, SD = 2.93) and attended private schools (62.2%) or universities (33.8%). The internal structure of the ERA-RSI, the invariance according to the level of instruction and sex, its relationship with other variables, and the reliability by internal consistency were analyzed. The results of the Confirmatory Factor Analysis (CFA) indicate a four-dimensional structure with adequate fit indices (χ2 / gl = 3.81, CFI = .91, TLI = .90, RMSEA = .061 [.058, .065], SRMR = .061) and which is invariant according to the level of instruction (school and university) and sex (men and women). In addition, good reliability is shown by internal consistency (ω = .74 to .83). For its part, convergent validity was performed with the Social Media Addiction Questionnaire (ARS) a positive, moderate to strong statistically significant correlation were found between the dimensions of both tests. In conclusion, the present adaptation of the ERA-RSI has, in general, adequate empirical evidence of validity and reliability and can be used in future research.

Translated title of the contributionPsychometric Evidence of the Scale of Risk of Addiction to Social Networks and Internet for Adolescents in Peruvian Students
Original languageSpanish
Pages (from-to)62-71
Number of pages10
JournalRevista de Psicologia Clinica con Ninos y Adolescentes
Volume9
Issue number1
DOIs
StatePublished - Jan 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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