Cross-cultural adaptation, factor structure, and evidence of reliability of the Smartphone Addiction Scale in Brazil
| Autor: | Alexandre O. Serpa, Helena Scoz da Cunha Lima, Elizeu Coutinho Macedo, Paulo Guirro Laurence, Helen O. Mavichian |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Cross-Cultural Comparison
cell phone Psychometrics Applied psychology RC435-571 Sample (statistics) 03 medical and health sciences 0302 clinical medicine Cronbach's alpha Brazilian Portuguese Surveys and Questionnaires Item response theory Humans Reliability (statistics) Psychiatry Reproducibility of Results addictive behavior Cross-cultural studies Confirmatory factor analysis language.human_language 030227 psychiatry Psychiatry and Mental health language Original Article social network Smartphone Psychology Mobile phone 030217 neurology & neurosurgery Brazil |
| Zdroj: | Brazilian Journal of Psychiatry, Volume: 42, Issue: 6, Pages: 608-616, Published: 15 JUN 2020 Brazilian Journal of Psychiatry, Vol 42, Iss 6, Pp 608-616 (2020) Brazilian Journal of Psychiatry, Issue: ahead, Published: 15 JUN 2020 Brazilian Journal of Psychiatry Brazilian Journal of Psychiatry v.42 n.6 2020 Brazilian Journal of Psychiatry (São Paulo. 1999. Online) Associação Brasileira de Psiquiatria (ABP) instacron:ABP |
| Popis: | Objective To translate, adapt, and examine the factor structure and internal consistency of a Brazilian Portuguese version of the Smartphone Addiction Scale (SAS-BR) among university students. Methods The SAS was translated and adapted for use with Brazilian samples. The resulting instrument (SAS-BR) was then administered to 356 college students. Parallel analysis was used to explore the maximum number of dimensions that underlie the assessment, and data modeling was undertaken using exploratory multidimensional item response theory (E-MIRT). The reliability of the SAS-BR was tested by computing McDonald's omega (ω) and Cronbach's alpha (α) coefficients. Results Parallel analysis revealed a maximum of six factors. E-MIRT analysis revealed that a five-factor model was the best fit for the data. The five emergent factors were salience, positive anticipation, cyberspace-oriented relationship, preoccupation with smartphone, and physical symptoms; these factors together explained 50% of the variance. Confirmatory factor analysis, conducted using data from a second sample, replicated the five-factor structure. The internal consistency of the scale was found to be strong. Conclusion The emergent factor structure of the SAS-BR was found to be similar to that of previous adaptations of this instrument for other Western countries. |
| Databáze: | OpenAIRE |
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