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The Importance of Null Hypothesis Significance Testing
In some cases, researchers follow questionable research practices that could lead them astray. For example, they might add more participants to a study if there's not enough evidence for it to be considered "credible" They may also analyze the data in different ways depending on what outcomes are being studied. All of this discretion is flexibility that increases the likelihood of fooling myself and seeing things by chance when there isn't actually evidence there.