non-significant result

Terms from Statistics for HCI: Making Sense of Quantitative Data

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.

Used on pages 61, 63, 64, 66, 79, 82, 87, 99, 101

Also known as non-significance, non-significant, not significant