Difference between revisions of "Resource:606c4f6b-253b-475e-8ee3-d2762e65bdbe"
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|Resource Type=Cases | |Resource Type=Cases | ||
|Title=The Epistemic Integrity of Scientific Research | |Title=The Epistemic Integrity of Scientific Research | ||
− | |Is About=This case | + | |Is About=This case defines the concept of epistemic integrity, which can be used to explain research integrity. The epistemic integrity of an experiment is inversely proportional to the deceptiveness of the results of the given experiment. For instance, the more deceptive the outcomes of an experiment are phrased, the lower the epistemic integrity of the practice is. |
<references /> | <references /> | ||
− | |Important Because= | + | |Important Because=To promote research integrity, it is important that one completely grasps the concept of research integrity and that one can explain it. Various explications and definitions of research integrity have been offered over the years. However, none of these explications did fully meet the four criteria for a sufficient explication, as outlined by Rudolf Carnap.<ref>Carnap, R. (1950). ''Logical foundation of probability''. London: Routledge and Keegan Paul.</ref> Therefore, this article comes up with an explication of research integrity that fully adheres to these principles and enables more people to understand research integrity. This explication may be used to test, explain, and increase the epistemic integrity of future scientific research. |
<references /> | <references /> | ||
|Important For=Researchers | |Important For=Researchers |
Latest revision as of 14:03, 5 August 2021
The Epistemic Integrity of Scientific Research
What is this about?
This case defines the concept of epistemic integrity, which can be used to explain research integrity. The epistemic integrity of an experiment is inversely proportional to the deceptiveness of the results of the given experiment. For instance, the more deceptive the outcomes of an experiment are phrased, the lower the epistemic integrity of the practice is.
Why is this important?
To promote research integrity, it is important that one completely grasps the concept of research integrity and that one can explain it. Various explications and definitions of research integrity have been offered over the years. However, none of these explications did fully meet the four criteria for a sufficient explication, as outlined by Rudolf Carnap.[1] Therefore, this article comes up with an explication of research integrity that fully adheres to these principles and enables more people to understand research integrity. This explication may be used to test, explain, and increase the epistemic integrity of future scientific research.
- ↑ Carnap, R. (1950). Logical foundation of probability. London: Routledge and Keegan Paul.