I'm trying to investigate whether there is correlation between a number of variables when I have different conditions, and I need some help of identifying what method I should use. Let me give an example, as it's easier to understand. X subjects (females and males) took part in a study. They performed a search task using either a computer or a tablet device. I recorded some eye-tracking data (e.g., number of fixations, fixation duration, etc.) and I want to investigate whether there is a correlation between each eye-tracking data and the time required to perform the task. The participants were actually divided into four groups regarding their gender and the device they used:
1. Female - Desktop (F-D) 2. Female - Tablet (F-T) 3. Male - Desktop (M-D) 4. Male - Tablet (M-T)
So, how what should I do to investigate the correlation between the eye-tracking data (ET1, ET2, ... ETn) and the task completion time (T), across:
- across all participants,
- across gender (M or F),
- across device used (D or T),
- across each sub-group (F-D, F-T, M-D, M-T).