Data Quality in Longitudinal Research
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An overview of the central issues of data quality in longitudinal research, with a focus on data relevant for studying individual development. Topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method.
Folgt in ca. 15 Arbeitstagen