构建无关的项目属性:基于上下文和参考对象的项目分类框架
Wahyu Widhiarso1,2, Rolf Steyer1, Andrew Perossa3
1Institute of Psychology, Friedrich-Schiller University of Jena, Jena, Germany.
Frontiers in psychology
|March 27, 2025
概括
本文介绍了构造不相关的项目属性 (CIIA),这些属性是影响人们如何回答调查量表的措辞特征. 了解CIIA是开发更有效和有效的心理测量尺度的关键.
科学领域:
- 心理测量 心理测量 心理测量
- 心理测量 心理测量
- 规模发展规模发展.
背景情况:
- 构造不相关的项目属性 (CIIA) 是项目措辞的方面,而不是构造本身.
- CIIA,如响应视角 (第一手与二手),显著影响受访者解释和数据.
- 了解CIIA对于确保心理测量尺度的有效性至关重要.
研究的目的:
- 提供已知CIIA的全面分类.
- 为在规模发展中使用CIIA提供实际建议.
- 将对项目属性的现有研究统一到一个单一的,可访问的资源中.
主要方法:
- 对项目属性现有研究的文献综述.
- 为CIIA开发一个分类系统 (分类学).
- 综合发现,为尺度开发人员和用户提供指导.
主要成果:
- 各种CIIA的识别和分类.
- 展示CIIA如何影响规模项的解释和响应.
- 建立一个理解和使用CIIA的框架.
结论:
- 对CIIA的结构化理解可以提高心理测量尺度的有效性.
- 这种分类对新手和经验丰富的规模开发人员来说都是一个宝贵的资源.
- 统一对项目属性的研究促进了更有效和可靠的规模构建.
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