I work with non-human animals. So I am almost always limited to using nonparametrics, however my university does not teach it.
For my thesis, I am have 4 subjects. They will be completing 3 tasks, Relevant1, Irrelevant, and Relevant2. Criterion is that they must achieve .85 accuracy over 120 trials to move to the next task. I want to perform two tests. One to see if there is any significant difference between the relevant and irrelevant conditions as far as overal accuracy. Another to see if there is a difference in speed, how quickly (in trial count) they finish each condition. I was originally pointed in the direction of the McNemar test, however I am not sure if this is the best test as I believe it requires approx 20 subjects, and I only have 4. Any help would be much appreciated.
Cheers!
For my thesis, I am have 4 subjects. They will be completing 3 tasks, Relevant1, Irrelevant, and Relevant2. Criterion is that they must achieve .85 accuracy over 120 trials to move to the next task. I want to perform two tests. One to see if there is any significant difference between the relevant and irrelevant conditions as far as overal accuracy. Another to see if there is a difference in speed, how quickly (in trial count) they finish each condition. I was originally pointed in the direction of the McNemar test, however I am not sure if this is the best test as I believe it requires approx 20 subjects, and I only have 4. Any help would be much appreciated.
Cheers!