P-value

A p value is a value calculated from a research study. P-hacking is the manipulation of research data to produce a clinically significant result for the calculated p value; meaning manipulating research results in order to achieve p < 0.05 rather than publishing a null result.

Articles and blogs

• 2010, Odds are it's wrong - Article

• 2016, The ASA's Statement on p-Values: Context, Process, and Purpose

Notable studies

• 2012, A peculiar prevalence of p values just below 0.05 (Abstract)

• 2013, The rise of p: "Just significant results are on the rise

• 2015?, What p-Hacking really looks like: A comment on Masicampo & Lalande (2012) (Full text)

• 2016, Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking (Full text)

See also

• Clinical trial terminology
• Randomized clinical trial
• Research bias in ME/CFS