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Model: Intuitively, you build a model to represent "something", and that something could be a building, or some solution that you have in mind. In other words, a model is a simplified version of something so that you can better analyse or visualise.

Framework: It is not a model of something. A framework is a loosely defined structure of ideas, principles, methods, and people. The purpose of a framework is that if you need to build something, or solve some problem, you can use the framework as your guide, but, of course, you have to fill in the details in the model, in order to reach on a concrete solution.

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What would be the most noticeable difference between the rock and the model?

Density would be the most noticeable difference between the rock and the model.


What is the difference between a theoretical and an analytical framework?

The difference between a theoretical and an analytical framework, at least within the social sciences, is not always made. Sometimes even the term conceptual framework is used as a substitute but that can be considered a mistake. A conceptual framework only explains concepts not the relation between these concepts in terms of dependent and independent variables. That is exactly what a theoretical framework does in fact. It discusses through an overview of existing literature which theories exist to explain the relations between concepts c.q. variables relevant for your research. If you want to differentiate a theoretical from an analytical framework then the latter concerns a scheme of how you want to research in your particular case the relationship between concepts/variables. In other words: you end the paragraph on the theoretical framework with an analytical scheme/framework for the application of a certain theory or theories or any new theoretical combination of concepts specifically for your research case. Obviously the guiding principle is not only the theoretical framework but also the specific central research question. In fact, there is a close link between the sub-questions in your research and your analytical framework.


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A scaled down model is used to model bigger objects like a building, while a scaled up model is used to make small things, like DNA, bigger by using a model.


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A model is to show something and it does not have a control group, like a experiment.


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