Reliability and Validity Analysis of the AMAS-Mobile for Assessing Anxiety in Mexican Higher Education Students

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
María Luisa González-Ramírez, Luis A. Padilla-López, Juan Pablo García-Vázquez, Adriana Sánchez-Yescas, Daniela Gracia-Montaño, Marcela D. Rodríguez, Jorge Eduardo Ibarra-Esquer, Cecilia Curlango, Daniel Cuevas González
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Abstract

Anxiety is a prevalent issue among university students, with recent studies indicating that one in three students experiences it or another emotional disorder. To address this, the use of standardized scales has been proposed to assess anxiety in this population. However, large-scale assessment remains challenging due to the lack of digital tools that facilitate widespread application. Traditional paper-based scales are time-consuming to administer and difficult to analyze efficiently. This article introduces AMAS-Mobile, a digital version of the AMAS-C scale designed for mobile devices, and presents its evaluation of validity and reliability through a nonexperimental exploratory study with Mexican university students between the ages of 18 and 50. This evaluation implies that a statistical analysis was conducted, which included calculating McDonald’s omega coefficient (ω) to assess reliability, as well as performing an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) to evaluate validity. The AMAS-Mobile is reliable since ω = 0.87, indicating satisfactory internal consistency for both the overall instrument and the individual subscales. EFA revealed a four-factor structure, explaining 37.48% of the total variance. In addition, CFA indicated that the model fit accuracy index was analyzed (χ2 = 2055.554, p < 0.001), indicating differences between the observed and expected matrices. A model fit analysis was also performed (RMSEA = 0.056; CFI = 0.794), which indicated that the model presented an adequate fit but was outside the expected range. This finding suggests a new arrangement of items.

Abstract Image

墨西哥高等教育学生焦虑量表的信效度分析
焦虑在大学生中是一个普遍的问题,最近的研究表明,三分之一的学生经历过焦虑或其他情绪障碍。为了解决这个问题,已经提出使用标准化的量表来评估这一人群的焦虑。然而,由于缺乏促进广泛应用的数字工具,大规模评估仍然具有挑战性。传统的纸质量表管理耗时长,难以有效分析。本文介绍了专为移动设备设计的AMAS-C量表的数字版本AMAS-Mobile,并通过对墨西哥18 - 50岁大学生的非实验探索性研究,对其效度和信度进行了评估。该评价意味着进行了统计分析,其中包括计算麦当劳的ω系数(ω)来评估信度,以及进行探索性因素分析(EFA)和验证性因素分析(CFA)来评估效度。AMAS-Mobile是可靠的,因为ω = 0.87,表明整体仪器和单个子量表的内部一致性令人满意。EFA呈现四因子结构,解释总方差的37.48%。此外,CFA表示模型拟合精度指数进行了分析(χ2 = 2055.554, p < 0.001),表明观察到的矩阵与期望的矩阵存在差异。我们还进行了模型拟合分析(RMSEA = 0.056; CFI = 0.794),表明模型拟合足够,但超出了预期范围。这一发现暗示了一种新的项目安排。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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