1. ## Post-hoc power analysis

I have analyzed data by performing a regression model in three steps - (a) two psychological independent variables, (b) adding a political independent variable (3 variables), (c) adding a political demographic independent variables (five variables).

I need to calculate post-hoc power analysis through specific software G * power 3. I wonder if I should use ‘F test: Multiple Regression - omnibus (deviation of R2 form zero), fixed model’ and how to report it.

2. ## Re: Post-hoc power analysis

Post hoc power can be computed simply from the observed p-value and the sample size. In fact, for moderate sample sizes post hoc power is basically just a simple function of the p-value. See the following: http://www.stat.uiowa.edu/files/stat/techrep/tr378.pdf
So post hoc power doesn't really add any new information beyond what you already know. If you rejected the null, then post hoc power is > .5. If you failed to reject the null, then post hoc power is < .5. So you may want to reconsider what it is exactly that you think you will learn from a post hoc power analysis.

3. ## The Following User Says Thank You to Jake For This Useful Post:

Vasily_Kot (07-24-2014)

4. ## Re: Post-hoc power analysis

Thank you very much for the explanation and the link.
From what I gather , Post hoc power can indicated that the N that was researched was enough for rejected the null.
Above all, I actually have to report statistical power of the study (a posteriori, if it had not been calculated before data collection, as in my case) using free software GPower*3 because this is the instruction I was given.
I am not quit sure, though:
1. How to use G*Power 3 in my case (may it be through ‘F test: Multiple Regression - omnibus (deviation of R2 form zero), fixed model’?)?
2. How to formally report calculating statistical power using G*Power ?

 Tweet

#### Posting Permissions

• You may not post new threads
• You may not post replies
• You may not post attachments
• You may not edit your posts