To manage complexity and to shorten design time, systemlevel methods for specification and design are becoming more and more important. System-level methods and tools focus on the creation of executable models that describe a system in the earliest phases of the design process. They allow qualitative (correctness) and quantitative (performance) properties to be analyzed before the system is act...

Generalized linear models (GLMs) are generalizations of linear regression models, which allow fitting regression models to response data that follow a general exponential family. GLMs are used widely in social sciences for fitting regression models to count data, qualitative response data and duration data. While a variety of specification tests have been developed for the linear regression mod...

Structural equation modelling (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions [1]– [3]. SEM allows for both confirmatory and exploratory modeling. In exploratory modeling one starts with the specification of a hypothesis, which is tested against measurements by measuring how well the model fi...