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网络成瘾障碍-20的新简短版本:探索性结构方程模型

A New Short Version of Internet Gaming Disorder-20: An Exploratory Structural Equation Modeling.

作者信息

Faraci Palmira, Bottaro Rossella, Nasonte Giuliana, Valenti Giusy Danila, Craparo Giuseppe

机构信息

Faculty of Human and Social Sciences - University of Enna "Kore".

Department of Psychological, Educational Sciences and Human Movement - University of Palermo.

出版信息

Clin Neuropsychiatry. 2023 Jun;20(3):205-218. doi: 10.36131/cnfioritieditore20230305.

Abstract

OBJECTIVE

The purpose of this paper was to contribute to the psychometric properties and dimensionality of the IGD-20.

METHOD

An online survey was completed by 392 Italian online gamers (M = 29.2, SD = 11.3; 45.2% males). A battery of self-report questionnaires was administered to assess internet gaming disorder, internet addiction, loneliness, anxiety, depression, stress, social-interaction anxiety, self-esteem, and perceived social support. To test the factor structure of IGD-20, both traditional (i.e., EFA and CFA) and innovative (i.e., ESEM) techniques were applied. Convergent, concurrent, discriminant, and criterion-related validity were evaluated.

RESULTS

Our study revealed the outperforming 3-factor ESEM model (χ=39.951, = 0.0021; RMSEA = 0.056, 90% C.I. [0.032 - 0.079]; CFI = 0.986; TLI = 0.965; and SRMR = 0.017; ω = .76, .77, and .79, respectively) as a new short version (IGD-10SV) for the IGD-20. The validity of the IGD-10SV was supported by significant associations with theoretically related measures.

CONCLUSIONS

The current findings support the adoption of the analytic ESEM approach for complex multidimensional measures and the use of the IGD-10SV for the assessment of internet gaming disorder.

摘要

目的

本文旨在探讨网络成瘾诊断问卷-20(IGD-20)的心理测量特性及维度。

方法

392名意大利在线游戏玩家(M = 29.2,SD = 11.3;45.2%为男性)完成了一项在线调查。使用了一系列自陈式问卷来评估网络成瘾障碍、网络成瘾、孤独感、焦虑、抑郁、压力、社交互动焦虑、自尊和感知到的社会支持。为了检验IGD-20的因子结构,同时应用了传统方法(即探索性因子分析和验证性因子分析)和创新方法(即斜交因子扩展模型)。评估了聚合效度、同时效度、区分效度和效标关联效度。

结果

我们的研究揭示了表现优异的三因子斜交因子扩展模型(χ=39.951,p = 0.0021;RMSEA = 0.056,90%置信区间[0.032 - 0.079];CFI = 0.986;TLI = 0.965;SRMR = 0.017;ω分别为0.76、0.77和0.79)作为IGD-20的新简短版本(IGD-10SV)。IGD-10SV的效度得到了与理论相关测量指标显著关联的支持。

结论

目前的研究结果支持对复杂多维测量采用分析性斜交因子扩展模型方法,以及使用IGD-10SV评估网络成瘾障碍。

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