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Re: 2 Variables, 7 cases, 10 observations -- Simple?

Posted by Kruger, Michael on Mar 06, 2018; 3:16am
URL: http://spssx-discussion.165.s1.nabble.com/2-Variables-7-cases-10-observations-Simple-tp5735614p5735636.html

One issue someone might raise is the oversampling in the sense you are getting up to 10 values for each of your seven subjects.  This causes your n to be 10 times greater than it really is. To evaluate your data correctly you should be taking the mean value for anxiety and the other dependent variable and do your correlations on an n=7, not each pair of observations. Also, since some people have more zeros than others, those people are over-represented in your data.


Michael Kruger
'A True Prince'
Statistical Analyst
C.S. Mott Center
Dept. of OB/GYN
WSU School of Medicine
248-895-4728

From: SPSSX(r) Discussion <[hidden email]> on behalf of PsyDStats <[hidden email]>
Sent: Monday, March 5, 2018 10:47:46 AM
To: [hidden email]
Subject: Re: 2 Variables, 7 cases, 10 observations -- Simple?
 
First of all, THANK you very much for everyone's responses.

Secondly, yes, an N of 7 is sparse. The 0 means no observations. I'm
hesitant to remove St1 because of the already small sample size, even though
it lacks . I oriented the data vertically as in my first scenario and ran
nonparametric stats comparing AN with HA. The scatter plot showed a
monotonic relationship , so I ran Spearmans rho. I thought the higher
specificity of Kendall's Tau would be useful, because of its accuracy over
Spearman with smaller sample sizes. I also ran Somer's d, since I have
dependent and independent variables.  All showed positive correlations at
.001. However, I'm worried that I'm missing something more essential with my
data or that I've missed assumptions that made these metrics inappropriate
to begin with. From your responses, I'm even more nervous.

Thank you again for the interest in my situation and your helpful insights.
I wish my committee and those I approached for participation were as engaged
as you are.



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