We often write that a result is ‘statistically significant’, or that we reject a null hypothesis at the 95 % ‘significance’ level based on a p value. Note that this is now old fashioned (Amrhein et al., 2019). For example, saying that a result is ‘significant’ may imply causation; some may mistakenly conclude that the effect actually happens, when it in fact highlights the need for further investigation (Tarran, 2019). So, next time you write your research results, be careful when you say ‘significance’ or ‘significant’ - in fact, “don’t say ‘statistically significant’”, according to Wasserstein et al., 2019.
Amrhein, V., Greenland, S. and McShane, B. (2019) Scientists rise up against statistical significance. Nature, 567, 305–307. URL: https://www.nature.com/articles/d41586-019-00857-9
Tarran, B. (2019) THE S WORD… and what to do about it. Significance Magazine, 16(4), 14-14. URL: https://doi.org/10.1111/j.1740-9713.2019.01295.x
Wasserstein, R. L., Schirm, A. L. and Lazar, N. A (eds) (2019) Moving to a world beyond p < 0.05. American Statistician, 73(sup1), 1–401. URL: https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1583913
Yarker, M. and Mesquita, M.d.S. (2015) The End of p values? Researchgate. URL: https://www.researchgate.net/publication/283498954_The_End_of_p_values