使用名单测量青少年社交网络中的名字顺序效应
Shuyin Liu1, David A Nolin1, James A Kitts1
1Department of Sociology, University of Massachusetts, 200 Hicks Way, Amherst, MA 01003-9277.
Social networks
|October 16, 2023
概括
在社交网络数据收集中,订单效应是最小的. 这项研究发现提名选择中偏见的证据很少,为未来关于调查设计和数据准确性的研究提供了指导.
科学领域:
- 社交网络分析分析
- 社会测量社会测量社会测量
- 心理学研究方法 心理学研究方法
背景情况:
- 在社交网络数据收集中,顺序效应,即列表位置影响响应,是关注的问题.
- 以前的研究表明,随机化或抽样名字可以减轻提名数据中的潜在偏差.
研究的目的:
- 在社交网络数据中建模和评估订单效应作为提名选择中的偏见.
- 调查这些潜在偏见背后的机制.
- 在调查情况下识别可能放大或减少顺序效应的因素.
主要方法:
- 利用观察和实验方法来评估提名偏见.
- 分析了来自六个数据收集波的四个中学队伍的数据.
- 检查了调查环境的特定方面,作为订单效应的潜在调节者.
主要成果:
- 在八个社会测量问题中发现了显著顺序效应的有限证据.
- 来自多个队列和时间点的数据并不始终支持强序效应的存在.
- 确定了可以影响订单效应大小的调查情况因素.
结论:
- 在社会测量数据收集中,顺序效应可能并不像以前所认为的那样普遍.
- 了解调节因素对于准确检测和减轻偏差至关重要.
- 调查结果为优化社交网络研究中的调查设计提供了实际指导.
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