Multiple Correspondence Analysis as a Tool for Quantification or Classification of Career Data
作者： Peter G. M. van der Heijden , Joop Teunissen , Charles van Orlé
DOI: 10.3102/10769986022004447
关键词:
摘要: Career data of an individual are defined by counts that describe the amount of time an individual has spent in each of a number of mutually exclusive states. It is argued that correspondence analysis is particularly suited to such data, and this is illustrated by an example from educational careers. Furthermore it is shown that correspondence analysis can be used for a quantification of individual careers into one or more scores, or a classification, that can then be used in further analyses.
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