Posted by
Swank, Paul R on
Nov 29, 2011; 6:36pm
URL: http://spssx-discussion.165.s1.nabble.com/Non-parametric-test-which-one-to-use-tp5031054p5033303.html
Yes, I was assuming that empathy would be an ordered variable, not a dichotomy. The analysis you use would then depend on which variable you see as dependent and which is the predictor. If empathy is the predictor and the proportion of angry vs. neutral responses is the outcome then logistic regression would work. But if you have no order to the variables, then you could correlated the proportion of either neutral or angry responses to the degree of empathy. I don't think the t test works here unless you categorize the angry/neutral response to angry (> 50% angry responses) which I would also not suggest.
Dr. Paul R. Swank,
Children's Learning Institute
Professor, Department of Pediatrics, Medical School
Adjunct Professor, School of Public Health
University of Texas Health Science Center-Houston
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of David Marso
Sent: Tuesday, November 29, 2011 12:25 PM
To:
[hidden email]
Subject: Re: Non-parametric test- which one to use?
I suspect MOST will agree that dichotomizing the empathy score is a truly
HORRIBLE idea!
---
claire wrote
>
> Dear experts,
>
> I am not sure which test I am supposed to use and was wondering whether
> anyone could guide me.
>
> DATA:
>
> Subjects chose among 'angry', 'neutral', 'sad', 'happy', and 'fear' when
> they were viewing angry faces (multiple times). Their empathy scores were
> also assessed.
>
> MY QUESTION:
>
> I would like to see whether people with high empathy scores (divided by
> the median score) and low empathy scores differed in the number of or the
> proportion of their responses, 'anger' and 'neutral' for the angry faces.
> For instance, if our hypothesis is correct, I would like to say that low
> empathic people rate angry faces as 'neutral' more frequently than highly
> empathic people...
>
> Which test would you recommend that I use?
>
> Thanks,
> Claire
>
--
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