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Summary: The next German census will be an Administrative Record Census. Data from several administrative registers about persons will be merged. Object identification has to be applied, since no unique identification number exists in the registers. We present a two–step procedure. We briefly discuss questions like correctness and completeness of the Administrative Record Census. Then we focus on the object identification problem, that can be perceived as a special classification problem. Pairs of records are to be classified as matched or not matched. To achieve computational efficiency a preselection technique of pairs is applied. Our approach is illustrated with a database containing a large set of consumer addresses.*This work was partially supported by the Berlin–Brandenburg Graduate School in Distributed Information Systems (DFG grant no. GRK 316). The authors thank Michael Fürnrohr for previewing the paper. We would like to thank also for the helpful comments of an anonymous reviewer.  相似文献   
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This study examined use of clergy for serious personal problems within a representative sample of US black Caribbean adults from the National Survey of American Life. Logistic regression analysis was used and confirmed the importance of problem type, church involvement, and nativity as correlates of clergy use. Findings for black Caribbeans indicate similarities, as well as important departures from prior research on the correlates of clergy assistance among African Americans. These and other findings confirm the position of black Caribbeans as a distinctive ethnic subgroup within the general black population in the United States.  相似文献   
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