中华护理杂志 ›› 2022, Vol. 57 ›› Issue (3): 380-384.DOI: 10.3761/j.issn.0254-1769.2022.03.021

• • 上一篇    

技术焦虑量表的汉化及其在老年群体中的信效度检验

孙尔鸿(), 高宇, 叶旭春()   

  1. 200433 上海市 海军军医大学护理学院
  • 收稿日期:2021-09-27 出版日期:2022-02-10 发布日期:2022-01-24
  • 通讯作者: 叶旭春,E-mail: ye_xch8639@163.com
  • 作者简介:孙尔鸿:女,博士,E-mail: seh0707@163.com
  • 基金资助:
    国家自然科学基金面上项目(71974196)

Validity and reliability of the Chinese version of the Technophobia scale in older adults

SUN Erhong(), GAO Yu, YE Xuchun()   

  • Received:2021-09-27 Online:2022-02-10 Published:2022-01-24

摘要:

目的 汉化技术焦虑量表,并检验其在老年人群中的信效度。 方法 对量表进行翻译、回译和跨文化调适,形成中文版技术焦虑量表;2021年1月—6月采用便利抽样法调查431名老年人,评估量表的信效度。结果 技术焦虑量表共13个条目,探索性因子析出技术紧张、技术害怕、隐私安全担忧3个因子,累计方差贡献率为67.24%。验证性因子分析显示,3因子模型拟合良好。总量表的Cronbach’s α系数为0.911,3个因子Cronbach’s α系数为0.759~0.885,折半信度系数为0.851。结论 技术焦虑量表的信效度良好,适用于评估老年人的技术焦虑程度,可为未来实施技术焦虑的干预及个性化数字健康服务提供参考。

关键词: 技术焦虑, 老年人, 效度, 信度, 数字健康服务, 护理

Abstract:

Objective To sinicize the Technophobia scale and evaluate its validity and reliability in older adults. Methods The expressions of the Chinese version of the Technophobia scale were determined through translation,back translation and cross-cultural adaptation. Totally 431 elderly people were recruited for questionnaire survey. Results The Chinese scale includes 13 items. Findings from the exploratory factor analysis revealed that 3 factors including techno-anxiety,techno-paranoia and privacy concerns were extracted and explained 67.24% of the cumulative variance. In validated factor analysis,the three-factor model fitted the data well. Cronbach’s alpha coefficient for the overall scale was 0.911;the Cronbach’s α coefficient of the 3 factors was 0.759~0.885;the half-reliability coefficient was 0.851. Conclusion The Technophobia scale has been proved to be reliable and valid,which can be used to assess the level of technophobia,and it can further provide a reference for future interventions for technophobia and individualized digital health services among the elderly population.

Key words: Technophobia, Aged, Validity, Reliability, Digital Health Services, Nursing Care