Multimethod Latent Class Analysis

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) appr...

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Main Authors: Fridtjof W Nussbeck, Michael eEid
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01332/full
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author Fridtjof W Nussbeck
Michael eEid
author_facet Fridtjof W Nussbeck
Michael eEid
author_sort Fridtjof W Nussbeck
collection DOAJ
description 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.
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spelling doaj.art-a533edf78a534db4ba9178ef41ba2ae62022-12-22T00:50:21ZengFrontiers Media S.A.Frontiers in Psychology1664-10782015-09-01610.3389/fpsyg.2015.01332141502Multimethod Latent Class AnalysisFridtjof W Nussbeck0Michael eEid1Bielefeld UniversityFreie Universitaet BerlinCorrect 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.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01332/fullrater agreementrater biasLog-linear modelingLatent-Class AnalysisMTMM-analysis
spellingShingle Fridtjof W Nussbeck
Michael eEid
Multimethod Latent Class Analysis
Frontiers in Psychology
rater agreement
rater bias
Log-linear modeling
Latent-Class Analysis
MTMM-analysis
title Multimethod Latent Class Analysis
title_full Multimethod Latent Class Analysis
title_fullStr Multimethod Latent Class Analysis
title_full_unstemmed Multimethod Latent Class Analysis
title_short Multimethod Latent Class Analysis
title_sort multimethod latent class analysis
topic rater agreement
rater bias
Log-linear modeling
Latent-Class Analysis
MTMM-analysis
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01332/full
work_keys_str_mv AT fridtjofwnussbeck multimethodlatentclassanalysis
AT michaeleeid multimethodlatentclassanalysis