Test for 9 Dependant variables, 1 Independent variable, Same Subjects


Thanks for taking the time to read this. I'm a final year PhD student. I recently ran an experiment where 9 pieces of information was displayed to participants in a driving simulator. Participants wore eye tracking and fixations to each of the pieces of info was measured.

During two of the trials, all participants experienced two conditions. I want to see if there is a significant difference in fixations to each of the pieces of information between these two conditions.

I could do 9 t-tests for each information pair, but my understanding is that there can be errors associated with doing this and increase the chance of a false significance.

I've attached an example of the data. (You can see 5 of the pairs in the image eg. Action_AEH and Action_APH etc.)

Many thanks and I'm more than happy to provide any clarification!

Thank you again

Arun Screenshot 2019-06-17 at 09.49.17.png


TS Contributor
Is this possibly a repeated-measures design with 2 factors, "kind of information" (9 levels) and "condition" (2 levels)?
In that case, a repeated-measures ANOVA could be an option.

With kind regards