Casas-Cordero C, Kreuter F, Wang Y, Babey S
J R Stat Soc Ser A Stat Soc. 2013 Jan 1;176(1):227-249. doi: 10.1111/j.1467-985X.2012.01065.x.
Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for nonresponse adjustments, to explain participation in surveys, and to assess nonresponse bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neighbourhood Survey (L.A.FANS), this paper examines measurement error properties of interviewer observations of neighbourhood characteristics. Block level and interviewer covariates are used in multilevel models to explain interviewer variation in the observations of neighbourhood features.
在数据收集过程中进行的访谈者观察目前被用于为适应性设计决策提供信息，扩展用于无应答调整的协变量集，解释调查参与情况，并评估无应答偏差。然而，在评估此类访谈者观察的质量方面所做的工作很少。本文利用洛杉矶家庭与社区调查（L.A.FANS）的数据，研究了访谈者对社区特征观察的测量误差属性。在多层次模型中使用街区层面和访谈者协变量来解释访谈者在社区特征观察方面的差异。
