A scientific model is a simplified abstract view of a complex reality. A scientific model represents empirical objects, phenomena, and physical processes in a logical way. Attempts to formalize the principles of the empirical sciences use an interpretation to model reality, in the same way logicians axiomatize the principles of logic . The aim of these attempts is to construct a formal system for which reality is the only interpretation. The world is an interpretation (or model) of these sciences, only insofar as these sciences are true. 
The task here is to create a diagram of the topic that includes clearly defined constructs or variables (independent, dependent, etc.) along with the relationships of those constructs and key factors that influence the constructs and the relationships. I begin with the big blocks – the independent and dependent constructs or variables. Then I work on adding the relationships (arrows). Once the main “pieces” are in place I add in the other variables such as mediating and moderating (as appropriate) and additional context factors. I develop the “landscape” of ALL the key constructs and relationships. Then I refine it to focus on the key aspects that I will include in the study. If the constructs are measurable variables, I transition to a theoretical framework that will guide the quantitative measurement and analysis. This task is often done in conjunction with the development of the research questions and it is an iterative process.