估计网络调查模式和面板效应在全国范围的酒精使用使用调查中使用酒精
Randal ZuWallack1, Matt Jans2, Thomas Brassell3
1is a Senior Statistician with the ICF, 9300 Lee Highway, Fairfax, VA, USA.
概括
基于地址的采样 (ABS) 和选择的网络面板等调查方法为传统的电话调查提供了具有成本效益的替代方案. 虽然ABS与大多数主题的电话调查类似,但在报告敏感的健康和酒精消费数据方面,网络面板显示出更显著的差异.
科学领域:
- 调查方法调查方法.
- 公共卫生研究 公共卫生研究
- 数据收集技术数据收集技术.
背景情况:
- 传统的随机数字拨号 (RDD) 电话调查面临着响应率下降和成本上升.
- 基于地址的抽样 (ABS) 和选择性网络面板正在成为调查的成本效益较高的替代方案.
- 国家酒精调查 (NAS) 探索了这些替代数据收集方法.
研究的目的:
- 为了评估"模式效应"或通过RDD电话,ABS-web和选择网络面板调查收集的数据的差异.
- 评估这些不同的调查模式如何影响酒精消费和健康主题的报告.
- 开发调整数据的方法,以确保与历史电话调查数据的可比性.
主要方法:
- 2019-2020年全国酒精调查 (NAS) 使用了三种数据收集模式:RDD电话,ABS推送到网络和选择的网络面板.
- 用多变量回归模型来预测酒精消费和健康特征.
- 在每个模型中测试了三级模式效应的意义,以确定差异.
主要成果:
- 基于地址的采样 (ABS) - 网络和RDD电话调查在大多数估计结果中产生了类似的结果.
- 在ABS-web和RDD电话之间出现了差异,对于诸如中毒和抑郁等敏感问题.
- 与RDD和ABS-web相比,选用网络面板显示出更明显的差异,特别是在报告频繁饮酒方面.
结论:
- 回归模型可以根据模式效应进行调整,从而为ABS和面板数据提供"电话等价"估计.
- 调整模式效应可以提高与过去电话调查的可比性,但可以增加估计差异.
- 这种调整方法在调查模式和研究样本之间的过渡中具有广泛的适用性.
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