My data is not normal, and I am trying to work out how to analyze it. I have a mixed design. I am looking at people’s choices between a safe option and a gamble. Some people in the experiment are told the chances of winning the gamble (eg 50% chance to win 40 points) the other group are not told anything and have to learn from experience. Both groups are shown two doors at once, some doors have a smaller reinforcer, and some have a larger reinforcer. We are interested in what effect the size of the reinforcer will have on how risky they are and comparing the difference when people either have or don’t have the probability.

Any idea how to analyze this?

Thanks!

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