Abstract
Jenny Thompson and Robin Fisher (1994)
"Two-Sample McNemar Tests for Complex Survey Data," Proceedings
of the Section on Survey Research Methods, American Statistical
Association.
Feuer and Kessler (1989) generalized the McNemar test
(1947) to a two sample situation where the hypothesis of
interest is that the marginal changes in each of two
independent sample's tables are equal. We show two
refinements of this test for complex survey data, which
require different estimates of variance. In particular, we
present these tests along with applications from the Current
Population Survey's Parallel Survey split panel data and from
the Current Population Survey's CATI Phase-in data.
Last Modified Date: July 19, 2008
|
