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- W2560368845 abstract "The evaluation of a health promotion program of several years for primary school chil- dren resulted in two problems. First, qualitative instruments had to be developed for a population (children at the age between 5 and 10), for which standardized procedures would not be suitable. Second, the program was tested in a total of 20 school classes, and longitudinal verbal and pictorial-based data were collected. Thus, over a period of almost four years, an enormous amount of qualitative data were collected. New procedures were developed in order to analyze these qualitative data comprehensibly in a quantitative way. In addition, it had to be taken into account that the qualitative categories used for data analysis had to be elaborated (had to become more differentiated) in the course of time. In order to ensure the longitudinal comparability, the earlier codings had to be brought into line with the respective elab- orations of the coding scheme. Overall, a constant standard of excellence of qualitative analysis could be achieved. Moreover, the coding scheme could be improved by considering the quantitative results. In this article, these procedures and their efficiency in evaluating the promotion program are presented." @default.
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- W2560368845 date "2000-01-01" @default.
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- W2560368845 title "Small Children—Big Data. Possible Links Between Qualitative and Quantitative Methods in the Analysis of Self-Reports" @default.
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