Deconstructing Myths in Quantitative Research
Keywords:
research, quantitative research, myth, interpretation, sample size, statistical significance, conclusions, overgeneralization, causation, inclusive results, proofAbstract
A myth can denote a prevalent but erroneous idea or belief. This article examines nine of these beliefs within quantitative research, that although popular, are ultimately misconceptions. Beyond highlighting the fallacy of the myth, positions are proposed in each case that align more closely with a scientific approach to research.
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Published
2021-08-19
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How to Cite
Deconstructing Myths in Quantitative Research. (2021). International Forum Journal, 24(1), 5-24. https://journals.aiias.edu/info/article/view/327