Multimethod latent class analysis
Identifieur interne : 000720 ( Main/Merge ); précédent : 000719; suivant : 000721Multimethod latent class analysis
Auteurs : Fridtjof W. Nussbeck [Allemagne] ; Michael Eid [Allemagne]Source :
- Frontiers in Psychology [ 1664-1078 ] ; 2015.
Abstract
Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and/or the assignment to a treatment. The via regia to inspect the validity of psychological ratings is the multitrait-multimethod (MTMM) approach. First, a latent variable model for the analysis of rater agreement (latent rater agreement model) will be presented that allows for the analysis of convergent validity between different measurement approaches (e.g., raters). Models of rater agreement are transferred to the level of latent variables. Second, the latent rater agreement model will be extended to a more informative MTMM latent class model. This model allows for estimating (i) the convergence of ratings, (ii) method biases in terms of differential latent distributions of raters and differential associations of categorizations within raters (specific rater bias), and (iii) the distinguishability of categories indicating if categories are satisfyingly distinct from each other. Finally, an empirical application is presented to exemplify the interpretation of the MTMM latent class model.
Url:
DOI: 10.3389/fpsyg.2015.01332
PubMed: 26441714
PubMed Central: 4584970
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PMC:4584970Le document en format XML
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<author><name sortKey="Nussbeck, Fridtjof W" sort="Nussbeck, Fridtjof W" uniqKey="Nussbeck F" first="Fridtjof W." last="Nussbeck">Fridtjof W. Nussbeck</name>
<affiliation wicri:level="1"><nlm:aff id="aff1"><institution>Department of Psychology, Bielefeld University</institution>
<country>Bielefeld, Germany</country>
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<country xml:lang="fr">Allemagne</country>
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<author><name sortKey="Eid, Michael" sort="Eid, Michael" uniqKey="Eid M" first="Michael" last="Eid">Michael Eid</name>
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<front><div type="abstract" xml:lang="en"><p>Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and/or the assignment to a treatment. The via regia to inspect the validity of psychological ratings is the multitrait-multimethod (MTMM) approach. First, a latent variable model for the analysis of rater agreement (latent rater agreement model) will be presented that allows for the analysis of convergent validity between different measurement approaches (e.g., raters). Models of rater agreement are transferred to the level of latent variables. Second, the latent rater agreement model will be extended to a more informative MTMM latent class model. This model allows for estimating (i) the convergence of ratings, (ii) method biases in terms of differential latent distributions of raters and differential associations of categorizations within raters (specific rater bias), and (iii) the distinguishability of categories indicating if categories are satisfyingly distinct from each other. Finally, an empirical application is presented to exemplify the interpretation of the MTMM latent class model.</p>
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