The application of McNemar tests to the current population survey's split panel study - ARCHIVED

Results from the Current Population Survey split panel studies indicated a centralized computer-assisted telephone interviewing (CATI) effect on labor force estimates. One hypothesis is that the CATI interviewing increased the probability of respondent's changing their reported labor force status. The two sample McNemar test is appropriate for testing this type of hypothesis: the hypothesis of interest is that the marginal changes in each of two independent sample's tables are equal. We show two adaptations of this test to complex survey data, along with applications from the Current Population Survey's Parallel Survey split data and from the Current Population Survey's CATI Phase-in data.