The mainstream of statistical analysis is characterised by using the
null hypothesis significance testing (NHST) procedure which have been the predominant option over the last 75 years.
That is, endeavoring to make them free from foreign organisms, or what my medical dictionary lists as "restricting microorganisms in the environment and preventing contamination of the surgical wound." Philosophically and semantically, this difference between "sterile" and "aseptic" is like the difference between the proper phrasing of
null hypothesis significance testing. If you were to perform a statistical test on two groups to test if they are different from each other, the null hypothesis isn't that the two groups "are the same," it's that the two groups "are not different." And this is a big difference.
On the past and future of
null hypothesis significance testing. Journal of Wildlife Management, 66, 263-271.
Reliance on the
null hypothesis significance testing model has had significant implications for rehabilitation research and the Journal because most rehabilitation researchers are faced with samples that come from two extremes.
And according to Gill and Meier, the borrowed
null hypothesis significance testing (NHST) is so misunderstood and misused, it should be abandoned.
* augment
null hypothesis significance testing by the exact reporting of p-values;
The APA Board of Scientific Affairs recently appointed a task force to study the desirability of phasing out the use of
null hypothesis significance testing in course texts, journal articles, and so on.
A critical assessment of
null hypothesis significance testing in quantitative communication research.
THE FLAWED PRACTICE OF
NULL HYPOTHESIS SIGNIFICANCE TESTING (OR: STARS ARE STUPID)
The inference revolution that took place in psychology between 1940 and 1955 led NHST (
Null Hypothesis Significance Testing) to become the inductive inference method par excellence.