Liu Shuyin, Nolin David A, Kitts James A
Department of Sociology, University of Massachusetts, 200 Hicks Way, Amherst, MA 01003-9277.
Soc Networks. 2024 Jan;76:68-78. doi: 10.1016/j.socnet.2023.07.002. Epub 2023 Aug 9.
Recent studies have found order effects in social network data collection, where later names on a roster receive fewer nominations. Some thus argue for randomizing name orders or sampling peer names for survey rosters. We model order effects as biases in nomination choices and demonstrate observational and experimental methods for assessing these biases and illuminating their mechanisms. Employing these lenses, we find little evidence of order effects on eight sociometric questions in four middle school cohorts over six waves. To inform future work, we investigate aspects of the survey situation that may amplify or attenuate order effects. Analyzing these moderating forces offers guidance for detecting, understanding, and mitigating order effects in future research.
最近的研究发现,在社交网络数据收集过程中存在顺序效应,即名单上靠后的名字获得的提名较少。因此,一些人主张对名字顺序进行随机化处理,或者在调查名单中对同伴名字进行抽样。我们将顺序效应建模为提名选择中的偏差,并展示了评估这些偏差及其作用机制的观察性和实验性方法。通过这些视角,我们发现,在六个调查周期中,针对四个中学群组的八个社会测量问题,几乎没有证据表明存在顺序效应。为指导未来的研究工作,我们调查了可能放大或减弱顺序效应的调查情境因素。分析这些调节因素可为未来研究中检测、理解和减轻顺序效应提供指导。