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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.
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Denis Visentin
University of Tasmania
Michelle Cleary
The University of Sydney
Glenn E. Hunt
The University of Sydney
Journal of Advanced Nursing
The University of Sydney
University of Tasmania
New South Wales Department of Health
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Visentin et al. (Tue,) studied this question.
synapsesocial.com/papers/6a028e47bc3ffe278e650adc — DOI: https://doi.org/10.1111/jan.14283
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