The synthetic method is a form of scientific reasoning. The main objective of which is to summarize the most relevant aspects of a process.
In this way, what the synthetic method seeks is to summarize what has been analyzed.
This method is very useful in very complex processes, where it is necessary to be clear about what is most important. On the other hand, learning to synthesize is of special interest for research.
Analysis in the synthetic method
The synthetic method uses analysis as a means to achieve its goal. In this way, it uses a method that allows it to be carried out in an orderly manner and with an action protocol. Thus, science is science when it can be refutable and above all, repeatable.
Friedrich Engels regards analysis as a necessary step for synthesis. He believed that you have to know the whole context to be able to make an adequate summary. Only then would it clearly reflect the content from which it was extracted.
Characteristics of the synthetic method
Let’s now look at some of the most relevant characteristics of this method.
- This method seeks the truth through the essential. Like all other scientific methods, its main premise is science. In this case, through synthesis.
- On the other hand, it has a specific methodology. This consists of analyzing and conceptualizing what we want to study in order to then extract the essentials.
- Its purpose is to contribute to existing knowledge. Therefore, what it seeks is an improvement of science and its application as a way of explaining reality.
- His job is to go from the general to the particular, that is, from the abstract to the concrete. To do this, it uses synthesis, which is always after analysis.
Synthetic method examples
To finish, let’s look at some examples of its application in everyday life.
- Let’s imagine we are going to a conference. In this case, it is very common to take notes and then be able to propose a synthesis of said talk.
- In statistics it is very common to use summary measures, which make it possible to synthesize a series of numerous and complex data. With the analysis as a starting point, we can make a synthesis with them.
- In medicine, when the doctor receives us, he asks us a series of questions about the symptoms. Through this knowledge, he can diagnose the disease, summarizing what happens to the patient.
- In economics it is very common to use synthesis. We analyze the relationship between unemployment and GDP in various countries. Then we synthesize the results, with the help of statistics or summarized mathematical models.