Null Hypothesis Significance Testing: What you should know (Part 4)

Failure to account for prior information

NHST treats each scientific result as if it were the first ever to evaluate a hypothesis. This requires one to ignore all prior (quantitative) information. It provides no quantitative solution by which to incorporate any type of earlier evidence, whereas Bayesian methods can easily do so. Use of this prior information can help dispel the false appearance of unexpectedly heterogeneous research results.

1 thought on “Null Hypothesis Significance Testing: What you should know (Part 4)

  1. Pingback: Confidence Intervals: The basics | communitymedicine4all

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.