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<font size="+1">I seemed to recall that the OP had talked about
working with summative scales, but was not sure.<br>
I did not mean unconventional with the connotation that there was
something wrong with it. </font><font size="+1">New to an
audience is not the same thing as "wrong". </font><br>
<font size="+1"><br>
If one reporting in the context of scale construction there is
nothing wrong with using newer forms of factor analysis. However,
I would usually ask for some explication to an audience why the
newer way was used. How is it different? Did it make a substantive
difference to use it? Different communities are used to seeing
different approaches. When one does something <b>novel-to-an-audience
</b>I believe it is helpful to tie what you are doing to what that
audience is familiar with.<br>
<br>
<br>
In scale construction based on the multi-trait multi-method
approach it is conventional to allow an item to be unit weighted
on only one scale (zero in the others). This is in interest of
divergent validity. Oblique rotation is not consistent with that
particular use. Items that have split loading are usually not
used in the scoring key derived from the factor analysis. There
are uses of factor analysis other than getting distinct
interpretable measures of constructs. <br>
The goals and context of an analysis make a lot of difference in
communicating to an audience.<br>
<br>
Perhaps my last question would have been clearer if I had asked if
the OP found substantive differences in the scoring keys derived
via ML vs PAF (aka PA2).<br>
<br>
Without an intense interest, I kind of keep an eye out for actual
instances where it makes a substantive difference what kind of
extraction was used.<br>
Offhand I cannot recall, for instance, an actual application in
scale construction where it made much difference whether one use
the principal components or the principal axes type of extraction.
YMMV.<br>
<br>
<br>
Art Kendall<br>
</font><br>
On 2/19/2011 10:34 AM, Swank, Paul R wrote:
<blockquote
cite="mid:017FB41275AE7A46988755E60E32F40105379ACA1F@UTHCMS3.uthouston.edu"
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<p class="MsoNormal"><span style="font-size: 11pt; font-family:
"Calibri","sans-serif"; color: rgb(31,
73, 125);">Are you suggesting that maximum likelihood and
oblique solutions are unconventional?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size: 11pt; font-family:
"Calibri","sans-serif"; color: rgb(31,
73, 125);"><o:p> </o:p></span></p>
<div>
<p class="MsoNormal"><span style="font-size: 11pt;
font-family: "Calibri","sans-serif";
color: rgb(31, 73, 125);">Dr. Paul R. Swank, <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size: 11pt;
font-family: "Calibri","sans-serif";
color: rgb(31, 73, 125);">Professor and Director of
Research<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size: 11pt;
font-family: "Calibri","sans-serif";
color: rgb(31, 73, 125);">Children's Learning Institute<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size: 11pt;
font-family: "Calibri","sans-serif";
color: rgb(31, 73, 125);">University of Texas Health
Science Center-Houston<o:p></o:p></span></p>
</div>
<p class="MsoNormal"><span style="font-size: 11pt; font-family:
"Calibri","sans-serif"; color: rgb(31,
73, 125);"><o:p> </o:p></span></p>
<div>
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<p class="MsoNormal"><b><span style="font-size: 10pt;
font-family:
"Tahoma","sans-serif"; color:
windowtext;">From:</span></b><span style="font-size:
10pt; font-family:
"Tahoma","sans-serif"; color:
windowtext;"> SPSSX(r) Discussion
[<a class="moz-txt-link-freetext" href="mailto:SPSSX-L@LISTSERV.UGA.EDU">mailto:SPSSX-L@LISTSERV.UGA.EDU</a>] <b>On Behalf Of </b>Art
Kendall<br>
<b>Sent:</b> Saturday, February 19, 2011 6:31 AM<br>
<b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:SPSSX-L@LISTSERV.UGA.EDU">SPSSX-L@LISTSERV.UGA.EDU</a><br>
<b>Subject:</b> Re: What communalities and matrice to
report ?<o:p></o:p></span></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size: 13.5pt;">Just
curious. What is the goal of your factor analysis?<br>
<br>
Are there specific reason to choose ML and Promax?<br>
<br>
Do you find that the results differ in substantive
conclusions from conventional approaches?<br>
<br>
Art Kendall<br>
Social Research Consultants<br>
</span><br>
On 2/17/2011 4:03 PM, Mbaye Fall Diallo wrote: <o:p></o:p></p>
<p class="MsoNormal">Hi dear all,<br>
1. I am using factor analysis (ML extraction). I would like to
know what communality to report : initial or extraction ? <br>
2. I used a Promax rotation. I would like to know what matrice
to report : pattern matrix or structure matrix ?<br>
<br>
Thanks in advance for your help. I would appreciate if you can
provide some references.<br>
<br>
Best,<br>
<br>
Mbaye.<o:p></o:p></p>
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