Category

scientific validity

14 posts

p-values banned

Basic and Applied Social Psychology banned p-values and confidence intervals. Descriptive stats outrank inferential ones; a small p is not an effect.

Read Article →

SPSP; data

SPSP’s integrity symposium is a draw. Student samples weaken claims; invalid methods make data cheap. Field and workplace samples would travel farther.

Read Article →

Methods

To learn why skeptics think as they do, read their own accounts--not a blog survey that ties them to moon-hoax items almost none of them endorse.

Read Article →

Significance

Statistical significance is not binary. The 0.05 cutoff is a ten-finger convention for Type-1 control--not proof a hypothesis is true in nature.

Read Article →

No results

Cook raters googled authors and mocked skeptics. Fraud plus an invalid method means there is no 97%--no number at all. Results require methods.

Read Article →

Data is often overrated

Invalid studies need no new data to be vacated. Logic can refute Napier & Jost and Lewandowsky; more numbers cannot rescue a validity collapse.

Read Article →

Reality is what it is

Unflattering findings about conservatives are not automatically invalid. Reality is whatever it is; Eidelman et al. looks methodologically clean.

Read Article →

← All posts