The danger of using a dichotomous system when it comes to mental disorders is not treating people who require treatment or treating people who do not require treatment. It is unclear where the boundary between disorder and no disorder is and this is not progressive for science and research as a whole. Equivalence classes refers to sets of individuals who are exchangeable with respect to the attribute of interest. Measurement starts with categorization. The continuity hypothesis states that in between any two positions lies a third that can be empirically confirmed (1) and that there are no gaps in the continuum (2). In a continuous interpretation, the distinction between people that have a disorder and do not have a disorder depends on the imposition of a cut-off score that does not reflect a gap in the inherent attribute itself (e.g. difference between average length and being tall). However, there is no way of measuring how depressed someone is (i.e. there is no scale). Local independence states that given a specific level of a latent variable, the observed variables are uncorrelated (e.g. guilt and suicide ideation is uncorrelated in healthy individuals). The form of the latent structure can be assessed by inspecting particular consequences of the model for specific statistical properties of items (1) and on the basis of the global fit measures that allow one to compare whether a model with a categorical latent structure fits better than a model with a continuous latent structure on the observed data.(2). Taxometrics refers to inspecting particular consequences of the model for specific statistical properties of items. If an underlying construct is continuous, then the covariance between any two observed variables should be the same regardless of the exact range. This analysis can be done by choosing a variable and denoting it as the index variable. In other words, the covariance between A and B should be the same on different levels of...


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