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I am soon going to start running a simple behavioral experiment where each response will be coded as belonging to one of 3 categories (or otherwise, as NA). I ran a similar experiment before, where the categorical responses fell into either the category 'Correct' or 'Incorrect' so we had coded them as 1 and 0, respectively, and we had fitted a logistic regression model with binomial distribution.

I don't quite know, however, what kind of a regression model would be appropriate in cases where there is more than 2 different response options, and they are not ordered on a scale.

I know this is probably a very basic question, but I am still in the process of learning.

Thank you for your patience, Freya

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    $\begingroup$ Would multinomial logistic regression work for you? $\endgroup$ Commented Jul 29, 2019 at 19:43
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    $\begingroup$ Yes, I have Googled its properties, and it seems like what I need to do! Thanks so much! $\endgroup$
    – Freya
    Commented Jul 29, 2019 at 21:22

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