Posted by
Yang, Hongwei on
Jan 21, 2014; 9:01pm
URL: http://spssx-discussion.165.s1.nabble.com/Fwd-Latent-Variable-Analysis-CFA-EFA-and-IRT-tp5724030p5724068.html
I suspect AMOS is sufficient for the problem here.
Hongwei Yang, University of Kentucky
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of David Marso
Sent: Tuesday, January 21, 2014 3:55 PM
To:
[hidden email]
Subject: Re: Fwd: Latent Variable Analysis: CFA, EFA, and IRT?
"However, that requires either expensive extra software or using ad hoc software. "
Not necessarily true:
AFAIK there are a few FREE SEM solutions MX, LISREL has a free student version limited number of variables, there is an R package called lavaan (sp). Probably others but I have not investigated.
OP take the time to do a little web search and you will likely locate them.
Art Kendall wrote
> If you have a strong background, and good reasoning then CFA is
> the only way to be sure that your model fits.
> However, that requires either expensive extra software or using
> ad hoc software.
>
> Otherwise, if you have a good may many more cases than variables
> (10x?), a PAF with varimax rotation will give you a good shot at
> scales that have discriminative validity. Be sure to keep only
> items that load cleanly if you retain more than 1 factor.
>
> It is possible that you will need to generate a larger items
> pool if you want to have items that measure more constructs.
>
> Parallel analysis will help you determine the number of factors
> to retain.
>
>
>
> Any thing more specific would depend on knowing the actual
> items, the eigenvalues, etc.
>
> Art Kendall
> Social Research Consultants
> On 1/20/2014 4:46 PM, Deena Isom [via SPSSX Discussion] wrote:
>
>
>
>
> ---------- Forwarded message ----------
> From: Deena Isom < [hidden
> email] >
> Date: Mon, Jan 20, 2014 at 4:38 PM
> Subject: Latent Variable Analysis: CFA, EFA, and IRT?
> To: [hidden email]
>
>
>
> Hello List,
>
>
> I'm trying to determine which analytical strategy is
> best for a current project, and if any are adequately
> conducted in SPSS or if another stats package is needed.
>
> I'm trying to assess if two latent constructs are truly
> distinct, when in most literature items assessing
> each they are measured together in one scale..... I
> believe this is best done with exploratory factor
> analysis to see how different questions load of different
> factors, but if I believe they are different, would
> confirmatory factor analysis better serve these purposes -
> force their loadings? Also, can either of these really be
> fully conducted in SPSS and provide information about fit
> and so forth? And finally, could item response theory
> help distinguish which questions measure which concepts?
> Honestly, I'm still confused by IRT.
>
> Thanks in advance for your insight. Hope you had a
> wonderful holiday!
>
>
>
> --
> ~Deena
>
>
>
>
>
>
> --
> ~Deena
>
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>
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