If what is meant by linearity is basically left truncation, then I have understood
it...
CM
-----Original Message-----
From: [EMAIL PROTECTED] on behalf of Chih-Mao Hsieh
Sent: Wed 12/24/2003 4:42 PM
To: [EMAIL PROTECTED]
Cc:
Subject: Re: [edstat] Factor analysis of count data
To Herman Rubin and others:
Would somebody please clarify to me what is the meaning of "linearity" as used
below?
Thanks,
CM
-----Original Message-----
From: [EMAIL PROTECTED] on behalf of Herman Rubin
Sent: Wed 11/26/2003 1:51 PM
To: [EMAIL PROTECTED]
Cc:
Subject: Re: [edstat] Factor analysis of count data
>> Dear Edstat-listers,
>> I have 8 variables per observation, all count data
>> (integers>0), and I want to be able to run an R factor
>> analysis to obtain factor scores. The data have the
>> following attributes:
>> (1) Hundreds of thousands of observations at my disposal, from
which I can sample if nec.
>> (2) Significantly non-normal, apparently not very amenable to
transformations
Normality is essentially irrelevant for the validity of
factor models. It is linearity, and it is this which
essentially excludes count data.
<<snip>>
.
.
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