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游戏障碍量表-家庭形式的制定与验证。

Development and Validation of the Gaming Disorder Scale-Family Form.

出版信息

J Psychosoc Nurs Ment Health Serv. 2021 Nov;59(11):25-32. doi: 10.3928/02793695-20210527-02. Epub 2021 Nov 1.

Abstract

The aim of the current methodological study was to develop a psychometric measurement tool for determining internet gaming disorder (IGD) based on family members' responses. The sample comprised 173 adolescents and their families. For reliability, the scale was created using item-total correlation, internal consistency coefficient, and test-retest correlation methods. The validity of the scale was evaluated using content validity index (CVI), construct validity, explanatory factor analysis (EFA), and confirmatory factor analysis (CFA). CVI for the scale was 0.92, Cronbach's alpha coefficient was 0.963, and item-total correlation ranged between 0.67 and 0.81. In the EFA, 61.7% of the total variance on the one-dimensional scale was explained and item factor loads ranged between 0.71 and 0.84. CFA showed good fit of the model. Thus, the Gaming Disorder Scale-Family Form, which was proven to be a valid and reliable measurement tool, is recommended for use by health care providers and community partners in the evaluation of potential IGD in adolescents. [(11), 25-32.].

摘要

本方法学研究旨在开发一种基于家庭成员反应的、用于确定网络成瘾障碍(IGD)的心理测量工具。该样本由 173 名青少年及其家庭组成。为了确保信度,该量表采用项目总分相关、内部一致性系数和重测信度相关方法进行构建。采用内容效度指数(CVI)、结构效度、探索性因子分析(EFA)和验证性因子分析(CFA)来评估量表的效度。该量表的 CVI 为 0.92,克朗巴赫α系数为 0.963,项目总分相关范围在 0.67 至 0.81 之间。在 EFA 中,一维量表的总方差有 61.7%得到解释,项目因子负荷在 0.71 至 0.84 之间。CFA 显示模型拟合良好。因此,推荐使用经证实具有有效性和可靠性的《游戏障碍量表-家庭形式》,供医疗保健提供者和社区合作伙伴在评估青少年潜在的 IGD 时使用。[(11), 25-32.]。

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