null hypothesis significance testing fallacy

The "null hypothesis significance testing fallacy" refers to the potential error in assuming that a lack of statistical significance in a study means that the null hypothesis is true or that there is no relationship between variables. This fallacy arises when researchers interpret non-significant results as proof of no effect, disregarding the possibility of other contextual factors or limitations in the study design that may have affected the outcome.

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