I'd suggest you look more closely at what 'error' means here. Could it be number of mistakes (in typing?), or some ranking of degree of seriousness of them? Perhaps a ranking of the ease of making a specific mistake could give you some kind of rating value for them. (keeping in mind that seriousness of an error does not = ease of making it - those are two different measurements.) Once you have an ordinal scale, and work a little to make it mostly linear, or an interval scale, then you can take off.
Jay
DG wrote:
Hi
For my thesis I am planning a 3X3X3 within subjects experiment. The experimental task requires subjects to count the number of times a particular alphabet appears on the monitor and enter it using a keyboard (depending on the number of times the alphabet appears). I have two dependent variables - error in response and number of subtasks completed (ranging from 1 to 5) in a time limit of 15 seconds. My research hypothesis is that performance (speed and accuracy) will be better when the monitor is at a certain distance (0.7m) as compared to when it is at another distance (2.5 m).
For the error in response dependent variable will it be nominal data? If it is nominal data then how can I verify the hypothesis. What test would I use?
Thanks DG
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