| Date: | Sun, 13 Nov 2011 07:53:58 -0500 |
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| Reply-To: | Art@DrKendall.org |
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| Sender: | "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU> |
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| From: | Art Kendall <Art@DrKendall.org> |
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| Organization: | Social Research Consultants |
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| Subject: | Re: factor analysis |
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| In-Reply-To: | <1321182308.9141.YahooMailNeo@web34404.mail.mud.yahoo.com> |
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<font size="+1">Recall that most uses of factor analysis operate on
the correlation matrix. Often the scaling of behavioral and
social </font>science variables is arbitrary so factoring based
on covariances is not needed. <br>
<br>
In many instances, it would not be problematic to factor items with
different response scales.<br>
<br>
What is the nature of your data? What are you thinking of using
factor analysis to achieve?<br>
<br>
Art Kendall<br>
Social Research Consultants<br>
<br>
On 11/13/2011 6:05 AM, abdalla alsmadi wrote:
<blockquote
cite="mid:1321182308.9141.YahooMailNeo@web34404.mail.mud.yahoo.com"
type="cite">
<div style="color:#000; background-color:#fff; font-family:times
new roman, new york, times, serif;font-size:14pt">
<div>Hi </div>
<div> </div>
<div>is it ok to run the factor analysis if the items have
diferents scoring scale 1-4 1-5 1-9 ?</div>
<div>what are your suggestions??</div>
<div>thanks a lot</div>
<div> </div>
<div>abdalla alsmadi</div>
</div>
</blockquote>
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