Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

In science, the success of an experiment is often determined by a measure called “statistical significance.” A result is considered to be “significant” if the difference observed in the experiment ...

When was the last time you heard a seminar speaker claim there was ‘no difference’ between two groups because the difference was ‘statistically non-significant’? If your experience matches ours, there ...

Scientists should stop using the term 'statistically significant' in their research, urges this editorial in a special issue of The American Statistician published today. The issue, Statistical ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

A new paper published in European Science Editing highlights the growing psychological strain on researchers driven by pressure to obtain statistically significant results in academic publishing.

Scientists should stop using the term 'statistically significant' in their research, researchers urge. Scientists should stop using the term 'statistically significant' in their research, urges this ...