Chunk #9 — Some general methodological considerations

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Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling.

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The three methods discussed in this paper share this basic framework, and have in common that the nature of the latent variable is inferred from multiple observed symptoms or questionnaire items. Prior to an analysis of the latent structure and independent of which method is used, it is necessary to take into account some properties of the observed data and the sample that can influence the outcome of this inference.