I´ll try to include all the information in a not-so-messy manner.
I´m currently trying to make sense of data collected in a pilot study. The study includes an emotional Stroop task in which subjects view words from two conditions (neutral and negative) and state in what color the word was written. The words are divided into 8 blocks ten words in each. The first block consists of 10 neutral words, the next of 10 negative words and so on. What I measure is the reaction time of the answers.
What I want to do is find possible differences in reaction time between neutral and negative words. I've calculated the means for each block so I have a total of 8 means (4 for each condition). My first instinct is to use a one-way ANOVA but I'm far from sure. It seems that a repeated measures ANOVA would be the answer but does my data really count as repeated measures?
And also, is it possible to calculate the mean of the means for each condition (so that I get 2 means instead of 4) and after that do a t-test? Maybe that isn't appropriate at all? I have a lot of thoughts about this whole thing but no one to ask so I'm turning to this forum that have proven to be very helpful in the past.
I'm thankful for any help or input!
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