Parameter

Level

Error type

Description

Alpha

.05

Type I error or False positive

The probability of identifying a non-existing effect

Beta

-

Type II error or False negative

The probability of not identifying an existing effect

Statistical power (1 − β)

min > .50 Ideally > .80

The probability to identify an effect that really exists

Effect size

Small, Medium, or Large

The strength of the examined relationship