An introduction to statistical significance -- Statistical power and underpowered statistics -- Pseudoreplication : choose your data wisely -- The p value and the base rate fallacy -- Bad judges of significance -- Double-dipping in the data -- Continuity errors -- Model abuse -- Researcher freedom : good vibrations? -- Everybody makes mistakes -- Hiding the data -- What can be done?
Summary
"Discusses how to avoid the most common statistical errors in modern research, and perform more accurate statistical analyses"-- Provided by publisher
