To explain the hypothess a little bit: The factors would be emotional words and neutral words; the levels of both factors are left and right visual hemifields. The data is the participants response time in milliseconds. I can explain our hypothesis: We predict a decrease in reaction time for the emotional words as compared to the neutral words; I guess we are expecting a decrease in response time when the stimuli is presented in the right visual hemifield... thats why each factor has the same levels (left/right visual hemifield)
I guess my main problem is that I don't understand how to identify the rows as the response variable... how can I make this dataset easier to run a statistical test on? I originally thought I would have to do ANOVA, but I realize that since each participant was assessed multiple times (with different words displayed on different sides of screen during lexical decision study) my data isn't independent so ANOVA would not be the appropriate test? I'm just not sure, I've tried entering it so many times in both excel and SPSS, I've even tried creating regression models in R... I'm not entirely sure they make sense though. I just need ANY KIND OF help or suggestions on what's the most sensible thing to do with this messy, long dataset.
There's multiple "sheets", because I tried too many times entering it in different ways for it to make sense. The second sheet is what I've mainly been working with.. It's the same dataset, I just tried to clean it up.. please help!!