Analysing two non-dichotomous categorical variables

Moderators: statman, Analyst Techy, andris, Fierce, GerineL, Smash

Posts: 1
Joined: Tue Sep 23, 2014 4:16 pm

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??
Posts: 1477
Joined: Tue Jun 10, 2008 4:50 pm

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!

Who is online

Users browsing this forum: No registered users and 2 guests