Research Methods

Power Resources for Researchers
What is Power?  Why it matters? How to Calculate?


What is Power?

  • Power is the likelihood that an inferential statistical test will correctly reject the null hypothesis
  • Power is the likelihood of finding an effect when there is a real effect

What's the Problem with Low Power & Research?

  • The power in past social science research has been estimated to average approximately .60 -- i.e., it has only been able to detect real effects in about 60% of studies

How Can I Increase Power?

  • Increase the sample size (N)
  • Increase the critical alpha (critical p level)
  • Increase the effect size


Power Calculators