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When running data-driven theory testing, it’s critical to appreciate the potential of making incorrect conclusions. Specifically, we allude to Type 1 and Type 2 errors. A Type 1 error,
https://charliebbpb132518.mpeblog.com/70633626/grasping-these-two-mistakes-in-research-evaluation