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Use of Experiments in Natural Sciences and in Sociology

2023-06-29 23:59:53

The use of experimental experiments in natural science and sociology is particularly important in natural science since they are devices used to prove or refute hypotheses. Science such as chemistry and physiology works with so-called closed system, which can control all variables. Therefore, this means that such experiments can be performed efficiently. It may be difficult to control the variables of physics science and rebuild the daily lives of sociology, but natural science does not face the same top priority problem.

Early sociological studies suggested that the field of sociology resembles natural science such as physics and biology. Therefore, many researchers believe that the methods used in natural science are very suitable for use in social science. The effect of emphasizing empiricism using scientific methods is the difference between sociology and theology, philosophy and metaphysics. It also leads to sociology as empirical science. This early sociological approach, backed by August Comte, led to positivism, which led the data from the experience of sensation, and the logical and mathematical processing of the data was the only thing of all real knowledge I argued that it is the source of As with natural science, the purpose of positivism is to predict. But in the case of sociology, the purpose of positivism is to predict human behavior, which is a complex proposition.

The use of experimental experiments in natural science and sociology is particularly important in natural science since they are devices used to prove or refute hypotheses. Science such as chemistry and physiology works with so-called closed system, which can control all variables. Therefore, this means that such experiments can be performed efficiently. - There are many assumptions that sociology has no value and sociology is science. Because science is an objective or unnoticed assumption. In sociological research, problems arise when unconscious researchers are biased toward assumptions and research topics. Robert Bierstedt said the findings or findings are irrelevant to external variables (race, sex, occupation, etc.).