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.

中文翻译：

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巴西智能手机成瘾量表的跨文化适应、因素结构和可靠性证据

目标：翻译、改编和检查巴西葡萄牙语版智能手机成瘾量表（SAS-BR）在大学生中的因素结构和内部一致性。方法：SAS 被翻译和改编以用于巴西样本。然后将所得仪器 (SAS-BR) 用于 356 名大学生。并行分析用于探索作为评估基础的最大维度数，并使用探索性多维项目反应理论 (E-MIRT) 进行数据建模。SAS-BR 的可靠性通过计算 McDonald 的 omega (ω) 和 Cronbach 的 alpha (α) 系数来测试。结果：平行分析显示最多六个因素。E-MIRT 分析表明，五因素模型最适合数据。五个紧急因素是显着性，积极的预期，面向网络空间的关系，对智能手机的关注和身体症状；这些因素共同解释了 50% 的差异。使用来自第二个样本的数据进行的验证性因素分析复制了五因素结构。发现该量表的内部一致性很强。结论： SAS-BR 的涌现因子结构被发现与该工具先前针对其他西方国家的改编相似。