人格特征,小组任期,调查主题和背景作为高频率在线纵向调查中调查不响应模式的预测因素
Htay-Wah Saw1,2, Arie Kapteyn2
1Michigan Program in Survey and Data Science, Survey Research Center, Institute for Social Research, University of Michigan-Ann Arbor, Ann Arbor, Michigan, United States of America.
PloS one
|September 22, 2025
概括
人格特征显著预测在线调查中的消耗,认真减少不响应. 其他特征,如开放性和神经症,增加了不响应,突出了个性.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 调查方法 调查方法
背景情况:
- 纵向研究对于跟踪随时间的变化至关重要.
- 参与者退出是纵向研究的一个主要挑战.
- 现有的文献往往侧重于影响消耗的人口因素.
研究的目的:
- 在高频率的在线纵向研究中调查非人口学变量对消耗的影响.
- 分析受访者个性特征,小组任期和调查主题对非响应模式的独立影响.
- 为了比较人格特征与人口统计学变量的预测能力,在调查中.
主要方法:
- 利用来自美国两项高频在线纵向研究的独特数据集.
- 使用隐性类别分析来识别受访者之间明显的非响应模式.
- 分析了人格特征 (如良心,开放,神经性) 与波不响应之间的关联.
主要成果:
- 潜在类分析显示了受访者非响应模式的显著差异.
- 人格特征成为不响应的强有力的预测因素. 认真与较低的不响应相关,而开放性,外向性,神经性和愉悦性与较高的不响应相关.
- 在一项研究中,人口统计学对非响应的影响很小,但在另一个研究中却存在,该研究的重点是COVID-19主题.
结论:
- 在高频率的在线调查中,受访者个性特征在预测不响应方面比传统的人口统计因素发挥更大的作用.
- 了解基于个性的非响应模式可以改善调查设计和数据质量.
- 未来的研究应该与人口统计学一起考虑心理变量,以减轻纵向研究中的磨损.
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