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Quantitative research relies on assessing statistical significance, most commonly expressed in the form of a probability value (p-value). Researchers naturally desire that their studies confirm their research hypotheses, however, many studies provide results that are not statistically significant. The literature provides many examples of erroneous reporting and misguided presentation and description of such results (Parsons, Price, Hiskens, Achten, drafting the article or revising it critically for important intellectual content.
Visentin et al. (Tue,) studied this question.