I’ll start collecting data for an experiment where I’ll be looking at mouse movements, in particular at the velocity with which participants move the mouse from left to right. Everything is working fine with the code, but I would like to understand a bit better how Psychopy is recording the data from the mouse movements.
There are two columns from the Excel file that I’m particularly interested in:
mouse.x data looks like this:
mouse.time data looks like this:
As you can see, there are many
mouse.x. This is normal, since after moving the mouse from left to right, the mouse is set to stop in the middle of the screen.
My general question is: what is the correct way of interpreting these two columns in my data? Is it correct to say that each data point in
mouse.x is a recording of the horizontal mouse position for that particular frame? And if that is the case, would it be correct to say, then, that when, e.g.
mouse.time= 0.9945 (first data point in
mouse.time), the mouse was located in
mouse.x= -0.7 (first data point in
mouse.x), and so on with every data point?