[Rasch] local independence
srmillis at yahoo.com
Thu Sep 5 05:29:05 EST 2013
I used Winsteps and find its Table 23.99 to be helpful in assessing local independence.
Scott R Millis, PhD, ABPP, CStat, PStat®
Board Certified in Clinical Neuropsychology, Clinical Psychology, & Rehabilitation Psychology
Wayne State University School of Medicine
Email: aa3379 at wayne.edu
Email: srmillis at yahoo.com
From: "Tyner, Callie" <callietyner at PHHP.UFL.EDU>
To: "Rasch at acer.edu.au" <Rasch at acer.edu.au>
Sent: Wednesday, September 4, 2013 2:10 PM
Subject: [Rasch] local independence
What I hope is a simple question:
When assessing local independence by looking at the residual correlation matrix after conducting EFA, what exactly is your approach for looking at the residual correlation matrix? Are we looking at the correlation of the residuals with themselves (I think this is called autocorrelation)? or the correlation of the residuals with one other?
>Example, for variables 1, 2, 3, and 4, do you view the residual correlation matrix as:
> 1 2 3 4
>>2 0.3 0.5
>>3 0.1 0.1 0.5
>>4 0.2 0.3 0.1 0.6
So that you view the correlations of the residuals with themselves?
>OR do we view the residual correlation matrix as:
> 1 2 3 4
>>3 0.1 0.1
>>4 0.2 0.3 0.1
>So that we ignore the auto-correlations?
I hope this makes sense! Thanks in advance for your insights.
Callie Tyner, M.S.
Department of Clinical and Health Psychology
University of Florida
callietyner at phhp.ufl.edu
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