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Unfolding the constituents of psychologicalscores:Development and application of mixture andmultitrait-multimethod LST modelsDelphine S. CourvoisierUniversity of GenevaFaculty of Psychology and Educational SciencesSection of PsychologyThesis director: Michael EidNovember 30, 2006ContentsThanks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Introduction 102 Basic ideas of latent state-trait models 142.1 Latent state-trait models . . . . . . . . . . . . . . . . . . . . . 142.2 Indicator-speciflc latent state-traitmodels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.3 Limitations of LST models . . . . . . . . . . . . . . . . . . . . 213 Mixture latent state-trait models 243.1 Mixture models . . . . . . . . . . . . . . . . . . . . . . . . . . 243.1.1 Testing mixture SEM models . . . . . . . . . . . . . . 274 Application of mixture LST models: Well-being 294.1 Data description . . . . . . . . . . . . . . . . . . . . . . . . . 294.2 Results: LST models . . . . . . . . . . . . . . . . . . . . . . . 304.3 Mixture LST models . . . . . . . . . . . . . . . . . . 324.4 Mixture LST models with covariates of change . . . . . . . . . 414.5 Simulation study . . . . . . . . . . . . . . . . . . . . . . . . . 454.6 General results . . . . . . . . . . . . . . . . . . . . . . . . . . 484.6.1 Behavior of the adjusted Likelihood Ratio Test (aLRT) 484.6 ...