Objective. The aim of this work was to validate the statistical significance and unidimensionality of the construct formed by the variables of the revised and short version of the Smartphone Addiction Scale (SAS-SV), adapted into Spanish, when applied to Mexican university students. Method. The questionnaires were administered to 244 students of Bachelor’s Degree in Administration of the Universidad Autónoma de San Luis Potosí, Mexico; 174 women and 70 men, aged 17 to 30 years, between August and December 2018. A confirmatory factor analysis was performed, and the parameters of the variables were checked by maximum likelihood and also by Bayesian analysis. The reliability of the instrument was verified through Cronbach’s alpha. As a final analysis, estimates of nonstandardized weights for the maximum likelihood method were compared against Bayesian a posteriori distribution estimates. Results. As a result, the model was found to adequately describe the sample data, presenting very small standard error estimates, and it was validated with Cronbach’s alpha of 0.885. In both Bayesian and maximum likelihood analysis, it is consistently evident that the construct is unidimensional. However, for the sample studied, it was observed that 3 of the variables did not reach a significant weight for the model. Conclusion. It concludes that the variables that measure smartphone addiction on the SAS-SV scale adapted to Spanish, indeed, form a unidimensional construct when applied to Mexican university students, which is consistent with results from previous studies. However, it is identified necessary to conduct further studies, in order to explain the low significance obtained for 3 variables of the model.

中文翻译：

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墨西哥大学生的SAS-SV智能手机成瘾量表

目标。这项工作的目的是验证将智能手机成瘾量表（SAS-SV）的修订版和简短版的变量（适用于西班牙语）应用于墨西哥大学生后，所形成结构的统计意义和一维性。方法。问卷调查是针对墨西哥圣路易斯波托西自治大学的244名管理学士学位学生进行的；在2018年8月至2018年12月之间，有174名女性和70名男性，年龄在17至30岁之间。进行了验证性因子分析，并通过最大似然法和贝叶斯分析检查了变量的参数。仪器的可靠性通过Cronbach的alpha进行了验证。作为最终分析，将最大似然法的非标准化权重估计值与贝叶斯后验分布估计值进行比较。结果。结果，发现该模型可以充分描述样本数据，并提供非常小的标准误差估计值，并且使用Cronbach的alpha为0.885进行了验证。在贝叶斯分析和最大似然分析中，始终可以证明构造是一维的。但是，对于所研究的样本，观察到其中三个变量并未达到模型的显着权重。结论。结论是，在适用于西班牙文的SAS-SV量表上，衡量智能手机成瘾性的变量确实适用于墨西哥大学生，形成了单维结构，这与之前的研究结果一致。但是，已确定有必要进行进一步的研究，以解释该模型的3个变量获得的重要性较低。