Re: What is the best approach for my research?

Posted by Benjamin Spivak (Med) on Feb 23, 2012; 12:24pm
URL: http://spssx-discussion.165.s1.nabble.com/What-is-the-best-approach-for-my-research-tp5507150p5507862.html

Thanks Zack,

Most of the DV's are binary (yes/no), some are continuous. I would like to look for differences between conditions, much like you would for an ANOVA. I'm not sure that CSLOGISTIC or CSORDINAL are capable of doing this. Although I would be happy to be wrong.

As for Multilevel models, I tried but could not make sense of the results (Also there was a convergence failure for many of the DV's).

Thanks again, if you have further advice I would greatly appreciate it.

Ben. 

  

On 23 February 2012 23:11, Zack, Matthew M. (CDC/ONDIEH/NCCDPHP) <[hidden email]> wrote:

Are your dependent variables nominal, ordinal, or interval-ratio [=continuous] variables?

Since your deliberating groups are correlated, you should take this into account by using

either multilevel models (GENLINMIXED) or complex samples (CSLOGISTIC, CSORDINAL, or

CSGLM).  If the questions implied by the dependent variables are so different and unrelated,

you will have to analyze them separately; otherwise, you might consider factor analysis to

explore how these variables may be related, although this may be problematic with

non-normally distributed variables.

 

Matthew Zack

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Benjamin Spivak
Sent: Thursday, February 23, 2012 1:14 AM
To: [hidden email]
Subject: What is the best approach for my research?

 

Dear List,

 

Please help I am stuck. I am performing some jury research with some very strange result and I want to find the ideal statistical model to fit my data.

 

My study. Essentially a 2x3 jury simulation study measuring comprehension of law. I also have over 18 DV's (questions) for comprehension. I have considered condensing the questions into one variable. But Cronbach's alpha is quite low for any combination of questions that I can relate to one construct.

 

Distribution is extremely non-normal and there is a heterogeneity of variance between groups. Also, because the jury study uses deliberating groups I have violated the assumption of independence.

 

Considering all this, I am having real trouble determining what the best approach for analysis would be. I have tried multi-level linear modelling, but I get results that I cannot make sense of.

 

I am at my wits end. If somebody could help, I would be in their debt.

 

Regards,

 

Ben.

 

 

 

 I would like to analyze individual jury data, but clearly my model violates the assumption of independence. So I have to account for this.