Evaluating diagnostic criteria: A latent class paradigm
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Cited by (79)
The Vascular Depression Subtype: Evidence of Internal Validity
2008, Biological PsychiatryCitation Excerpt :The method used in this study also has important implications for the process of establishing valid diagnoses. Sneed et al. (16) articulated the psychometric approach to diagnostic validity (39–41), which is represented in Figure 1. According to this approach, the first step in establishing diagnostic validity is the specification of a theory.
Vascular Depression: A Distinct Diagnostic Subtype?
2006, Biological PsychiatryCitation Excerpt :Of course, the researcher is more interested in finding the probabilities of latent class membership given a particular response set on the manifest indicators, and these reverse conditional probabilities can be easily obtained with Bayes’ theorem and are standard in most statistical packages with a LCCA module (e.g., Mplus, Latent Gold, LEM). Importantly, LCCA allows the researcher to evaluate the relative accuracy of competing diagnostic criteria in the absence of a “gold standard” (Faraone and Tsuang 1994; Young 1983). In other words, LCCA can be used to determine whether multiple definitions of a construct (e.g., vascular MDD) reflect a single underlying latent class or separate diagnostic entities.
Hui and Walter's latent-class reference-free approach may be more useful in assessing agreement than diagnostic performance
2005, Journal of Clinical EpidemiologyCitation Excerpt :Observer responses were unconditionally dependent, which can be regarded as a prerequisite for a meaningful latent class analysis. Indeed, the absence of unconditional dependence would suggest that observers did not identify the same latent diagnostic classification, thus precluding any useful interpretation of results from latent class analysis, as argued by Rindskopf and Rindskopf [13] and by Young [37]. The issue of conditional dependence in the framework of latent class models has been considered by several authors who proposed introducing either combinations of variables or covariance terms among observers in their models [7,14,25,34,38].
Validation of Diagnostic Measures Based on Latent Class Analysis: A Step Forward in Response Bias Research
2009, Psychological Assessment
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The author wishes to thank David Clark, Jan Fawcett, Martin Harrow, William Scheftner and Martin Tanner for their valuable comments.