意大利改编的无手机恐惧症问卷:ESEM技术的析因效度和基于人群的截止分数。

IF 2.6 Q1 PSYCHOLOGY, CLINICAL
Sergio Traficante, Luigi Tinella, Antonella Lopez, Sergio A Useche, Sjaan Koppel, Giuseppina Spano, Elisabetta Ricciardi, Rosa Napoletano, Andrea Bosco, Alessandro O Caffò
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引用次数: 0

摘要

无手机恐惧症是一种多方面的现象,当个人感到与他们的技术环境脱节时,其特征是恐惧和焦虑。由于工具有限和缺乏经验支持的分界点,其评估仍然很困难。本研究旨在对意大利的无恐惧症问卷(NMP-Q)进行验证,测试四因素结构并建立按年龄和性别划分的规范性数据。数据收集自1447名参与者。探索性结构方程模型(ESEM)评估了不同的因子配置。四因子解决方案的双因子ESEM (B-ESEM)表现出最佳拟合(CFI = 0.95; TLI = 0.94; RMSEA = 0.06),比三因子模型更准确地表示。计算第1、99百分位和每个通气期的评分;第80百分位和第95百分位分别表示无恐惧症的风险和存在。各年龄组中女性得分最高,而老年人得分最低。这些发现支持了NMP-Q的可靠性和在意大利语境中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Italian Adaptation of the No-Mobile-Phone-Phobia Questionnaire: Factorial Validity with the ESEM Technique and Population-Based Cut-Off Scores.

Italian Adaptation of the No-Mobile-Phone-Phobia Questionnaire: Factorial Validity with the ESEM Technique and Population-Based Cut-Off Scores.

Nomophobia is a multifaceted phenomenon characterized by fear and anxiety when individuals feel disconnected from their technological environment. Its assessment remains difficult due to limited tools and lack of empirically supported cut-off points. This study aimed to contribute to the Italian validation of the Nomophobia Questionnaire (NMP-Q), testing a four-factor structure and establishing normative data by age and gender. Data were collected from 1447 participants. Exploratory Structural Equation Modeling (ESEM) assessed different factorial configurations. A bifactor ESEM (B-ESEM) with a four-factor solution showed the best fit (CFI = 0.95; TLI = 0.94; RMSEA = 0.06), offering a more accurate representation than the three-factor model. Scores were computed for the 1st and the 99th percentile and for each ventile; the 80th and 95th percentiles indicate risk and presence of nomophobia, respectively. Females scored highest across age groups, while older adults reported the lowest levels. These findings support the NMP-Q's reliability and use in the Italian context.

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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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