the RM4Es^TM Framework

  The RM4Es are:

    Equation - equations are what represents the models for our research.

  Estimation - estimation is the link between equations (models) and the data used for our research.

   Errors (Evaluation of Models) - errors are often used to evaluate the fit between models and the data.

   Explanation - explanation is the link between equations (models) and our research purposes. How we explain our research results often depends on our research purposes and also on the subject we are studying.

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The RM 4 Es are the key four aspects that distinguish one method from another. In the empirical research community, people sometimes say "using multiple regression method to estimate structural equation models" that often confuses people. What they are trying to say is actually  "using OLS method to estimate a set of structural equations". Clearly using the RM 4Es terms can help avoid misunderstanding and help making research easy.

The RM 4 Es are sufficient to represent a research status at any given moment. 

The RM4Es framework is one of the best tools for students to organize research methods and  statistics knowledge. It is a great assessment tool used by many RM instructors, and also a self assessment tool used by our students.

At the same time, the RM4Es framework is also a great system for research management. The research management systems developed on the RM4Es and other RM principles are helping researchers to improve research quality and research productivity.

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Real World

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Explanation

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              Real World --- Data --- Errors --- Equation: Y = β X + ε

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Estimation

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Data

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Real World  

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Success Cases of Using the RM4Es

 RM Publications

   RM Programs

   RM Platforms