Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
G*Power Statistical Power Analyses for Windows and Mac is a program which helps with calculating the power of some statistical tests.
1
vote
1
answer
230
views
Noncentrality parameter Repeated-Measures ANOVA - formula vs. G*Power
On page 34, it notes that:
$$\lambda_{gpower} = \frac{knf^2}{(1-\bar{\rho})} = k\lambda_{ws},$$
so the two are off by a factor $k$. My question therefore is: which one is correct? … @dipetkov's answer below I was able to see for myself that the G*Power and Potvin & Schutz formulas are identical (I will maintain $k$ to denote the number of trials; @dipetkov used $q$):
$$\lambda_{gpower …
1
vote
0
answers
231
views
Different results for simulated and closed form distribution of T-statistic under the altern...
While running some simulations to get a better grasp of the concept of statistical power I stumbled upon an unexpected result. I was trying to simulate the sampling distribution of test statistic $T$ …