Abstract
The practice of cross-validation on the same sample is a common procedure in applied research, and it is suggested that it should not be applied because the contrast that is ultimately being made is not adequate. It is true that there are certain consequences to its application, but further exploration of these may be more beneficial than trying to establish golden rules. In-depth knowledge of what is being used to achieve a given research objective (functionality and limitations) coupled with the usual context in applied research (scarcity of resources) can help researchers see how far they can take their findings. Therefore, instead of "cross-validation: yes or no", there are some aspects to be considered, and it is ultimately the applied researcher's obligation to adequately justify the execution of cross-validation on the same sample.
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