Post Hoc
Definition: Post hoc is borrowed from Latin, meaning “after this”. In statistics, post hoc (or post hoc analysis) refers to the testing of hypotheses not specified prior to data analysis. In frequentist statistics, the procedure differs based on whether the analysis was planned or post-hoc, for example by applying more stringent error control. In contrast, Bayesian and likelihood approaches do not differ as a function of when the hypothesis was specified.
Related terms: A priori, Ad hoc, HARKing, P-hacking
Reference:
- Dienes, Z. (2008). Understanding psychology as a science: An introduction to scientific and statistical inference. Macmillan International Higher Education.
Originally drafted by: Alaa Aldoh
Reviewed by: Sam Parsons, Jamie P. Cockcroft, Bethan Iley, Halil E. Kocalar, Graham Reid, Flávio Azevedo