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Here - Tilburg University

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Author and presenter<br />

Emons, Wilco H.M.; <strong>Tilburg</strong> School of Social and Behavioral Sciences<br />

Title<br />

On the Usefulness of Latent Variable Hybrid Models to Distinguish Categories<br />

from Dimensions<br />

Abstract<br />

In this presentation, we discuss the usefulness of latent variable hybrid<br />

models, including latent class item response theory and item response theory<br />

mixture models, to distinguish qualitative from quantitative individual differences<br />

on multidimensional psychological attributes. Different latent variable hybrid<br />

approaches will be discussed and contrasted with traditional approaches<br />

including taxometrics. Results from empirical data analysis and simulation<br />

studies will be presented and limitations and implications for future research will<br />

be discussed. As an example, we use distressed personality, which refers to a<br />

general propensity to psychological distress defined by the combination of two<br />

distinct personality attributes, negative affectivity (NA) and social inhibition (SI).<br />

Currently, persons are categorized as Type D if they score above a certain cutoff<br />

on both NA and SI dimension and as non-Type D otherwise. We used latent<br />

variable hybrid models to advance the current debate as to whether individual<br />

differences in distressed personality should be conceived as representing gradual<br />

differences on its constituent continuous NA and SI dimensions rather than as a<br />

categorical Type D/non-Type D dichotomy.

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