When the results from your experiment or study do not reach a pre-defined measure of significance, that is where they could simply have occurred randomly with a given probability. Often the p-value used for this is a standard one such as 5% or 1%, largely because in days past it was only possible to calculate these in books of statistical tables. It is very important to remember that non-significant does not mean no effect, but simply not sufficient evidence to be confident that there is a real effect – not proven.
Also used in hcistats2e: Chap. 6: pages 66, 68, 69, 70, 72; Chap. 8: pages 87, 90, 91, 95; Chap. 9: pages 105, 108; Chap. 13: page 148
Also known as: non-significance, non-significant, not significant