RESEARCH METHODS- inferential testing

Question 1

What does the p stand for in inferential testing?

Answer 1

Probability

Question 2

What are Type I and Type II errors?

Answer 2

Type 1 error (false positive): When researchers conclude an effect is real (i.e. they reject the null hypothesis), but it’s actually not.
Type 2 error (false negative): When researchers conclude there is no effect (i.e. they accept the null hypothesis), but there actually is a real effect.