Interaction Fallacy
Definition: A statistical error in which a formal test is not conducted to assess the difference between a significant and non-significant correlation (or other measures, such as Odds Ratio). This fallacy occurs when a significant and non-significant correlation coefficient are assumed to represent a statistically significant difference but the comparison itself is not explicitly tested.
Related terms: Comparison of Correlations, Null Hypothesis Significance Testing (NHST), Statistical Validity, Type I error, Type II error
References: Gelman and Stern (2006), Morabia et al. (1997), & Nieuwenhuis et al. (2011)
Drafted and Reviewed by: Graham Reid, Ali H. Al-Hoorie, Mahmoud Elsherif, Kai Krautter, Sam Parsons
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