We are studying on dynamic teams. We have developed an O2O platform for soccer activity organizing and team management. Teams in the platform are dynamic and boundary-blurring.
We are writing research articles based on our developed platform. While we have a question about robustness testing, that is, we don't know if it is okay to use another period's dataset of the platform to do robustness testing. Is there any research article doing robustness testing in the same way?
It is generally good practice to test the robustness of research findings by using different data samples or methods (including the use of another period's data) to evaluate the consistency and reliability of the results. Robustness testing can help to ensure that the findings are not dependent on specific data samples or methods, and that they can be generalized to broader populations or contexts.
Therefore, it is recommended that you carefully consider the appropriateness and relevance of using another period's dataset for robustness testing, and ensure that any conclusions drawn from the testing are based on sound statistical and methodological principles.
Ajit Singh Many thanks for your answer. When I reported this research to our college teachers, they raised great doubts about the rationality of this method. This is also why I need to find similar literature to support the feasibility of this method. Unfortunately, I have not found any similar one. In recent revisions, I provided the results of the Two-Sample Kolmogorov-Smirnov test between two datasets, indicating that there are essentially differences between the two datasets. Good luck to myself.
Again, thank you very much!
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