Data fusion or statistical matching techniques merge datasets from different survey samples to achieve a complete but artificial data file which contains all variables of interest. The merging of datasets is usually done on the basis of variables common to all files, but traditional methods implicitly assume conditional independence between the variables never jointly observed given the common variables. Therefore we suggest using model based approaches tackling the data fusion task by more flexible procedures. By means of suitable multiple imputation techniques, the identification problem which is inherent in statistical matching is reflected. Here a noniterative Bayesian version of Rubin's implicit regression model is presented and compared in a simulation study with imputations from a data augmentation algorithm as well as an iterative approach using chained equations.
Research in the German National Educational Panel Study intends to provide the empirical basis for a longitudinal analysis of individuals' educational careers and competencies and how they unfold over the life course in relation to formal as well as nonformal/informal learning environments. In order to track educational developments and decisions over the life span, six main samples serve as the foundation for the characterization and analysis of educational processes. These six main samples include newborns, Kindergarten children, secondary school children (fifth and ninth grade), first-year undergraduate students and adults. They are accompanied Z Erziehungswiss (2011) 14:51-65 52 C. Aßmann et al.by several additional samples allowing an analysis of special groups, e.g., special needs pupils. Given that for several of the starting cohorts access to the target population is gained via educational institutions like Kindergartens and schools, multistage sampling approaches reflecting the multistage access to the target populations are implemented. Samples in individual contexts as for the cohorts of adults and newborns are established via register-based stratified cluster approaches. The designs of the implemented sampling strategies are shortly reviewed for each established sample.
Auch mit seiner neuen Reihe "IAB-Discussion Paper" will das Forschungsinstitut der Bundesagentur für Arbeit den Dialog mit der externen Wissenschaft intensivieren. Durch die rasche Verbreitung von Forschungsergebnissen über das Internet soll noch vor Drucklegung Kritik angeregt und Qualität gesichert werden.Also with its new series "IAB Discussion Paper" the research institute of the German Federal Employment Agency wants to intensify dialogue with external science. By the rapid spreading of research results via Internet still before printing criticism shall be stimulated and quality shall be ensured.
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