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Une étude comparative d’analyses des correspondances ou de classifications et des modèles de variables latentes ou de classes latentes. (A comparative study of correspondence analyses or classifications and latent variables models or latent classes). (French) Zbl 0635.62050

Summary: Reduction of dimensionality is a common aim of correspondence analysis (C.A.) and of latent variable models. In this paper, we compare both methods on a real qualitative data set, previously simplified by means of C.A. It appears that the results related to the first C.A. factor and those of the continuous scale obtained for the one latent variable model lead to similar interpretations. It also appears that latent class analysis (a latent variable model particular case) and the “nuées dynamiques” clustering method have similar interpretations. Thus this paper shows the apparent similarity of results arising from seemingly unrelated methods.

MSC:

62H25 Factor analysis and principal components; correspondence analysis
62H99 Multivariate analysis
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References:

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