Statistical Data Fusion for Cross-Tabulation
Kamakura, Wagner A. and Wedel, Michel, Statistical Data Fusion for Cross-Tabulation, Journal of Marketing Research, Vol. 34, No. 4, pp 485-498, 1997
15 Pages Posted: 6 Mar 2014
Date Written: 2006
The authors address the situation in which a researcher wants to cross tabulate two sets of discrete variables collected in independent samples, but a subset of the variables is common to both samples. The authors propose a statistical data-fusion model that allows for statistical tests of association using multiple imputations. The authors illustrate this approach with an application in which they compare the cross-tabulation results from fused data with those obtained from complete data. Their approach is also compared to the traditional hot-deck procedure.
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