The goal of this course is to introduce the modelling and analysis of causal relationships using so called structural equations, which play e.g. in important role in empirical social research. Using LISREL we will introduce the use of factor and regression analysis to model causal relationships based on latent variables. Latent variables are non observed variables which are sometimes turned into 'indicators'. This course teaches a multi step approach: identify proper latent variables, modelling a causal relationship and finally validating the model.


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HLM Training - Hierarchical Models

HLM Training - Hierarchical Models

HLM Training - Hierarchical Models

Apply models to hierarchical data structures, that are frequently found in practical applications. The training shows how to define and run up to Four- Level- Models using HLM.

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