Developing new models for mulitmethod measurement of change and their application in the area of well-being research

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During the first period of funding four new models of multimethod longitudinal data analysis have been developed (LS-COM model, LC-COM model, LST-COM model, LGC-COM model). The models have been defined on the basis of stochastic measurement theory, and the applicability of these models have been analyzed by several simulation studies. The aim of the next period is to extend the applicability of these models and to illustrate their applicability by real data. In particular, two goals are pursued:1. Extension of all models (LS-COM model, LC-COM model, LST-COM model, LGC-COM model) to categorical variables with ordered response categories, and analysis of the applicability of Bayes estimation methods.2. Application of all models (LS-COM model, LC-COM model, LST-COM model, LGC-COM model) for continuous and categorical response variables to real data. The data should be collected to analyze the stability and specificity of attachment patterns over time and over different types of relationships, and to analyze correlations betwwen attachment and subjective well-being.