Koji Yatani's Course Webpage

Site Tools

hcistats:correlation

Differences

This shows you the differences between two versions of the page.

 hcistats:correlation [2014/07/23 05:17]Koji Yatani [Effect size] hcistats:correlation [2014/08/14 05:24] (current)Koji Yatani Both sides previous revision Previous revision 2014/08/14 05:24 Koji Yatani 2014/07/23 05:17 Koji Yatani [Effect size] 2014/07/23 05:17 Koji Yatani created 2014/08/14 05:24 Koji Yatani 2014/07/23 05:17 Koji Yatani [Effect size] 2014/07/23 05:17 Koji Yatani created Line 75: Line 75: **If your x and y are not symmetrical,​ in other words, if you controlled only either of them (we usually define it as x), you must use regression**. This is because the relationship between x and y should be described by saying how x explains y, and not how y explains x. For example, you got data of target acquisition tasks (target sizes and performance time). In this kind of studies, you likely controlled target sizes. So, you should do regression, and see how well target sizes can predict the performance time. **If your x and y are not symmetrical,​ in other words, if you controlled only either of them (we usually define it as x), you must use regression**. This is because the relationship between x and y should be described by saying how x explains y, and not how y explains x. For example, you got data of target acquisition tasks (target sizes and performance time). In this kind of studies, you likely controlled target sizes. So, you should do regression, and see how well target sizes can predict the performance time. + + + \\ + ~~DISCUSSION:​open~~