Analysing two non-dichotomous categorical variables

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Analysing two non-dichotomous categorical variables

Postby wannycang » Tue Sep 23, 2014 4:19 pm

I'm having some issues running an analysis with two categorical variables that are both non-dichotomous...

Some background information on my study: My study focuses on how young adults sexually communicate in an online dating setting, and what influences them to do so. Participants are given a simulated online dating scenario where they see an online dater's profile (with a picture and a message), and then they are given the opportunity to reply to the profile.

What I'm having trouble with is analysing how the profile's message (sorted into 4 levels based on how 'sexy' it is) correlates to how the participants responds (also coded into 4 levels of how 'sexy' their response is). I hypothesise that the 'sexier' the profile's message is, the more 'sexy' the participant will respond. ​

So my two categorical variables are:
How sexy the profile's message is (4 levels)
How sexy the participants response is (4 levels)

What analysis should I run for this??
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Re: Analysing two non-dichotomous categorical variables

Postby GerineL » Wed Sep 24, 2014 8:20 am

I think you actually have 2 ordinal variables rather than 2 nominal variables, is that right?

In that case, you can use spearmans rho, for instance.
In case they are nominal, you can use crosstables with chi square.

Good luck!

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