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Design‐based analysis of embedded experiments with applications in the Dutch Labour Force Survey
Author(s) -
Van Den Brakel Jan A.
Publication year - 2008
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2008.00532.x
Subject(s) - sample (material) , sampling (signal processing) , sample size determination , sampling design , randomized experiment , wald test , implementation , computer science , statistics , survey research , statistical hypothesis testing , completely randomized design , design of experiments , test (biology) , mathematics , software engineering , psychology , paleontology , population , chemistry , demography , filter (signal processing) , chromatography , sociology , applied psychology , computer vision , biology
Summary. Previous research has proposed a design‐based analysis procedure for experiments that are embedded in complex sampling designs in which the ultimate sampling units of an on‐going sample survey are randomized over different treatments according to completely randomized designs or randomized block designs. Design‐based Wald and t ‐statistics are applied to test whether sample means that are observed under various survey implementations are significantly different. This approach is generalized to experimental designs in which clusters of sampling units are randomized over the different treatments. Furthermore, test statistics are derived to test differences between ratios of two sample estimates that are observed under alternative survey implementations. The methods are illustrated with a simulation study and real life applications of experiments that are embedded in the Dutch Labour Force Survey. The functionality of a software package that was developed to conduct these analyses is described.