Watanabe Megumi, Olson Kristen, Falci Christina
Hiroshima University, Office of Global Initiatives, 1-3-2 Kagamiyama Higashi-Hiroshima, Hiroshima, 739-8511, Japan.
University of Nebraska-Lincoln, Department of Sociology, 711 Oldfather Hall, Lincoln, NE, 68588-0324, United States.
Soc Sci Res. 2017 Mar;63:324-338. doi: 10.1016/j.ssresearch.2016.09.005. Epub 2016 Sep 16.
Survey researchers have long hypothesized that social isolation negatively affects the probability of survey participation and biases survey estimates. Previous research, however, has relied on proxy measures of isolation, such as being a marginalized group member within a population. We re-examine the relationship between social isolation and survey participation using direct measures of social isolation derived from social network data; specifically, instrumental research and expressive friendship connections among faculty within academic departments. Using a reconceptualization of social isolation, we find that social network isolation is negatively associated with unit response. Among women (a numerical minority group within the organization), we further find that social group isolation (i.e., lacking instrumental network connections to men, the majority group in the organization) is negatively associated with survey participation. Finally, we show that some survey estimates are systematically biased due to nonparticipation from socially isolated people.
调查研究人员长期以来一直假设,社会隔离会对调查参与概率产生负面影响,并使调查估计产生偏差。然而,以往的研究依赖于隔离的代理指标,比如作为某一人群中被边缘化的群体成员。我们使用从社交网络数据得出的社会隔离直接指标,重新审视社会隔离与调查参与之间的关系;具体而言,即学术部门内教职员工之间的工具性研究联系和表达性友谊联系。通过对社会隔离进行重新概念化,我们发现社交网络隔离与单位回复呈负相关。在女性(组织内的少数群体)中,我们进一步发现社会群体隔离(即缺乏与组织中的多数群体男性的工具性网络联系)与调查参与呈负相关。最后,我们表明,由于社会隔离人群不参与调查,一些调查估计存在系统性偏差。