注意力干预对调查数据的影响
Christie M Fuller1, Marcia J Simmering2, Brian Waterwall3
1Boise State University, ID, USA.
Educational and psychological measurement
|January 31, 2025
概括
研究人员研究了减少不充分努力响应 (IER) 的干预措施如何影响调查数据中的常用方法方差 (CMV). 研究结果表明,虽然注意力干预可以影响参与者的参与,但它们不会显著改变CMV水平.
科学领域:
- 社会和行为科学 社会和行为科学
- 调查方法调查方法.
- 数据质量研究数据质量研究
背景情况:
- 调查数据质量对于社会和行为科学研究至关重要.
- 常见方法差异 (CMV) 和响应力不足 (IER) 是对数据完整性的关键威胁.
- 关于针对IER的干预措施如何影响CMV的研究有限.
研究的目的:
- 在同一来源的调查数据中,研究注意力干预对IER和CMV的影响.
- 为了确定是否程序或统计技术以减轻IER影响CMV.
- 评估事实操纵检查 (FMC) 对调查数据质量的影响.
主要方法:
- 在实验室内和实验室外进行了一项实验.
- 实施了注意力干预,包括事实操纵检查 (FMC).
- 通过视频参与和鼠标运动跟踪来测量受访者的注意力,以及标准的IER指标.
主要成果:
- 注意力干预表明对参与者的参与水平有一定的影响.
- 尽管影响了注意力,但这些干预措施并没有导致CMV的显著差异.
- 在IER缓解策略和CMV水平之间没有明确的关系.
结论:
- 旨在提高受访者注意力的干预措施可能无法有效减少常见方法的差异.
- 研究人员应该考虑数据质量干预措施对不同类型错误的细微影响.
- 需要进一步的研究来了解IER和CMV缓解技术之间的相互作用.
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