On Procedures for Evaluating the Effectiveness of Reinterview Survey Methods: Application to Labor Force Data
本文基于美国人口普查局的月度当前人口调查，提出新程序估计原始调查和回访调查中的分类错误率，发现调和回访法会引入误差依赖，而响应方差回访法能有效复制原始调查的误差率。
Abstract Several types of reinterview surveys have been designed to measure the different kinds of response errors that occur in survey data. This article is based on the reinterview procedures conducted by the U.S. Census Bureau in its monthly Current Population Survey. We present estimates of the misclassification error rates associated with the original survey data collection procedures and the reinterview methods. A new procedure enables us to estimate the dependence between the error rates of the original survey and the initial nonreconciled reinterview when the reconciled reinterview method is used. Our approach extends to the survey setting methods previously developed for estimating error rates of diagnostic tests. This new approach indicates that the response-variance reinterview methods are effective in replicating the original survey's error rates; however, the reconciled reinterview method creates a substantial dependence between the original and the initial nonreconciled reinterview error rates.