Abstract
Moon Jung Cho, John L. Eltinge, and David Swanson
(2003) "Inferential Methods to Identify Possible Interviewer Fraud
Using Leading Digit Preference Patterns and Design Effect Matrices." Proceedings of the Section on Survey Research Methods, 2003,
American Statistical Association.
Interviewer fraud can damage the data quality severely. How can we detect
it? We use the leading digits to detect the curbstoning in this paper. The
effect of the sampling design, such as stratification and clustering, on
standard Pearson chi-squared test statistics for goodness of fit is
investigated. Rao and Scott (1981) suggested that a simple correction to a
chi-squared test statistic which requires only the knowledge of variance
estimates for individual cells in the goodness-of-fit problem would be
satisfactory. This paper extends the Rao-Scott methods and considers
inference for a large number of proportion vectors and optimum allocation of
resources (re-interview time). The eigenvalues of design effect matrix are
used to obtain related diagnostics regarding the efficiency of a given
complex design. For cases with heterogeneous eigenvalues, the eigenvalues
and eigenvectors of design effect matrix are used to identify specific
linear functions of proportion to which a test is sensitive.
Last Modified Date: July 15, 2004
|
