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首页> 外文期刊>PLoS One >Development and psychometric properties of the Digital Difficulties Scale (DDS): An instrument to measure who is disadvantaged to fulfill basic needs by experiencing difficulties in using a smartphone or computer
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Development and psychometric properties of the Digital Difficulties Scale (DDS): An instrument to measure who is disadvantaged to fulfill basic needs by experiencing difficulties in using a smartphone or computer

机译：数字困难规模的发展和心理测量特性（DDS）：一种衡量谁是劣势，以满足使用智能手机或计算机的困难来满足基本需求

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Today, some individuals may be at a disadvantage by experiencing difficulties in using a smartphone or computer to reach specific outcomes (e.g., looking for a job, searching for information on insurances) or in general (e.g., not knowing how to change the settings of an app or website). The aim of this study is to develop and examine the psychometric properties of a new instrument, called the Digital Difficulties Scale (DDS). A multi-phase method was performed to develop the questionnaire in the period from January 2019 to November 2019. The item pool was generated based on a literature review, informal observations and interviews. Then, this item pool was presented both to experts ( n = 6) and non-experts ( n = 492) to assess content and face validity. In a second stage, construct validity (both exploratory and confirmatory), convergent and divergent validity, internal consistency, and test-retest reliability of the questionnaire were tested. These analyses were based on a representative sample ( n = 1000), and an independent sample for test-retest reliability ( n = 44). Twenty-four items were generated and refined during content and face validity assessment. The exploratory factor analysis revealed three factors (Specific Digital Difficulties, General Digital Difficulties, and Worries about Future Digital Difficulties) containing sixteen items, together explaining 73.03% of the observed variance. The confirmatory factor analysis proved adequate model fitness. Both convergent and divergent validity were good, and internal consistency was excellent, with Cronbach’s alphas ranging between .93 and .97. Finally, our instrument demonstrated good test-retest reliability, with interclass correlation coefficients between .73 and .86. Consequently, the DDS can be used both in future research and practice, as it is a valid and reliable instrument to measure who is disadvantaged to fulfill basic needs by experiencing difficulties in using a smartphone or computer.
机译：今天，一些人可以通过在使用智能手机或计算机达到特定的结果（例如，寻找工作，寻求保险的信息）或一般（例如，不知道如何改变如何改变设置时，以困难一个应用程序或网站）。本研究的目的是开发和检查新仪器的心理测量特性，称为数字困难规模（DDS）。在2019年1月至2019年11月，执行多相方法以在2019年1月至11月制定问卷。项目池是根据文献审查，非正式观察和访谈产生的。然后，此项目池以专家（n = 6）和非专家（n = 492）呈现，以评估内容和面部有效性。在第二阶段，测试有效性（探索性和验证性），收敛和发散的有效性，内部一致性和测试问卷的测试标准可靠性。这些分析基于代表性样品（n = 1000），以及用于测试 - 保持可靠性的独立样品（n = 44）。在内容和面部有效性评估期间生成和精制了二十四个项目。探索性因子分析显示了三个因素（特定的数字困难，一般数字困难以及对未来数字困难的担忧），其中包含十六件物品，共同解释了观察到的差异的73.03％。确认因素分析证明了适当的模型健身。融合和发化有效性都很好，内部一致性很好，Cronbach的alphas之间的范围在.93和.97之间。最后，我们的仪器展示了良好的测试保持可靠性，在.73和.86之间的相关系数。因此，DDS可以在未来的研究和实践中使用，因为它是一个有效且可靠的仪器来衡量谁，谁不利地利用智能手机或计算机遇到困难。

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