Statistical Power - People.stat.sfu.ca

More documents

Recommendations

Info

Back to the basics: ! α: Probability of a false positive  (detecting an effect that doesn’t exist)! β: Probability of a false negative  (failure to detect an effect when it actually exists)! Power: 1 – β,   Probability of correctly rejecting a null hypothesis.! Practical definition: PROBABILITY of detecting  an effect when the effect actually exists.! Background
!Interrelated components: target power (1 – β) ,   α, sample size, and effect size.! • Probability of correctly detecting an effect.! • Probability of incorrectly detecting an effect.! • Sample size.! • Minimum response size that is considered biologically significant.! !Examples of mutual relationship:! Target power = 0.8 with α= .05! Target power = 0.9 with α= .10! ! Background
Page 1: STATISTICAL POWER ANALYSIS IN WILDL
Page 5 and 6: !Effect: magnitude of response, ori
Page 7 and 8: • Set a meaningful effect size,
Page 9 and 10: Typical constraints:! • Maximum n
Page 11 and 12: • Change to crossover (paired) de
Page 13 and 14: Power is calculated using sample si
Page 15 and 16: Confidence Intervals and Power
Page 17 and 18: Points To Remember:! • Hypothesis

Statistical Power - People.stat.sfu.ca

Create successful ePaper yourself

Delete template?

Save as template?