On procedures for evaluating the effectiveness of reinterview survey methods : Application to labor force data
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.