FAQ/power/rsqform - CBU statistics Wiki

Upload page content

You can upload content for the page named below. If you change the page name, you can also upload content for another page. If the page name is empty, we derive the page name from the file name.

File to load page content from
Page name
Comment
Type the odd letters out: scieNce GATHeRS knowledge fAster tHAN SOCIeTY GATHErS wisdom

location: FAQ / power / rsqform

Rules of thumb for eta-squared involving only between subjects factors in the term of intertest are 0.010, 0.059 and 0.13 for small, medium and large effects respectively.

If a within subjects factor is involved you also need to specify an estimate of the average correlation (>0) between within subject factor levels.

For any non-zero correlations between the levels of the within subject factors eta-squared will be greater reflecting the smaller variation between observations clustered on individuals and yielding greater power.

You can construct eta-squared using this spreadsheet.