STATISTICAL-DATA FUSION FOR CROSS-TABULATION

The authors address the situation in which a researcher wants to cross -tabulate two sets of discrete variables collected in independent samp les, but a subset of the variables is common to both samples. The auth ors propose a statistical data-fusion model that allows for statistica l tests of association using multiple imputations. The authors illustr ate this approach with an application in which they compare the cross- tabulation results from fused data with those obtained from complete d ata. Their approach is also compared to the traditional hot-deck proce dure.