Data Processing Problems for Multidisciplinary, Mixed-Longitudinal Studies with Application to the Nijmegen Growth Study^[*)]

As more complex, computer-oriented studies of growth and development are undertaken, it becomes increasingly important that investigators contemplating the initiation of such studies are aware of some of the data processing problems they are likely to encounter. The present paper discusses some of these problems in the context of multidisciplinary, mixed-longitudinal growth studies and the solutions implemented in the Nijmegen Growth Study are documented.

Da zunehmend mehr komplexe, Computer-orientierte Unter Buchungen’ über Wachstum und Entwicklung durchgeführt werden, wird es immer wichtiger, daß die Untersucher, die solche Untersuchungen beabsichtigen, Kenntnis haben von den Problemen, die bei der Datenverarbeitung auftreten können. Die vorliegende Arbeit behandelt einige dieser Probleme, namentlich im Hinblick auf multidisziplinäre, gemischte Längssehnitt-Entwicklungsstudien. Die bei der Nijmegen WachstumsStudie angewandten Lösungen werden dargestellt.

Key-Words

Data Processing - Multidisciplinary Growth Studies - Mixed-Longitudinal Designs

Sclilüssel-Wörter

EDV - multidisziplinäre Entwicklungsuntersuchungen - gemischte LängsschnittUntersuchungen

^*) Supported in part by a grant from Hot Praeventiefonds, The Hague, The Netherlands.

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