Background: Metabolic syndrome (MetS), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. The aim of this study was to identify the subgroups of participants in a study on the basis of MetS components.   Methods: The cross-sectional study took place in the districts related to Teh...

In this paper two scales of a personality questionnaire, extraversion and neuroticism, are analyzed using a family of latent trait latent class models. The items are responded to in one of three categories: “yes”, “?”, or “no”. The results show that one single measurement model does not suffice in describing the data. More specifically, the meaning of the “?” response category is not invariant ...

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Latent class analysis (LCA) and latent profile analysis (LPA) are techniques that aim to recover hidden groups from observed data. They are similar to clustering techniques but more flexible because they are based on an explicit model of the data, and allow you to account for the fact that the recovered groups are uncertain. LCA and LPA are useful when you want to reduce a large number of conti...