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I have two sets of data: DES scores (self-report) and whether dissociation was experienced during an experiment (yes or no). My sample size is 83 (71 no, 12 yes). I want to know if high DES scores are related to those 12 people experiencing dissociation.

To my understanding this means I have a discrete independent variable and a binary dependent variable. Is that right?

What would be the best way to compare these?

I have an feeling independent t-test or Pearson correlation would be wrong. Would I need to do a logistic regression?

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  • $\begingroup$ You want to compare two means - why do you consider t-test inappropriate? $\endgroup$ – Tim Apr 18 '16 at 20:31
  • $\begingroup$ @Tim Because that would be treating the self-report score as the dependent variable $\endgroup$ – mrchimpbanana Apr 20 '16 at 17:09
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You should try a logistic regression, although the number of cases is low, so do not expect to much. You should also show the data, visualize, plot it. A stripchart with two lines would be nice, an example can be seen here: How can I draw a boxplot without boxes in R?

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