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Re: st: Generate one score for 2+ factors?
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Generate one score for 2+ factors?
Date
Wed, 26 Jun 2013 18:52:09 +0100
See http://www.stata.com/statalist/archive/2013-06/msg00415.html for a
previous reminder addressed to you directly to use full real names on
Statalist.
Predicted factor scores can be saved using -predict-. Looking at the
help for -factor postestimation- shows that.
Then they are just new variables that you can combine as you wish.
Whether that's useful is another matter. For example, an idea I often
encounter is that if Factor1 and Factor 2 are good, then some
combination of the two will be even better. In terms of "proportion
explained", that is wrong. If you want a single construct to use you
need really good arguments not to use Factor 1. But plotting factor 1
and factor 2 against each other might give idea.
I can't remember if I ever knew what Thomson's method was, but I
suspect it was Thomson, not Thompson.
Nick
[email protected]
On 26 June 2013 18:36, nola l <[email protected]> wrote:
> I have a question on factor analysis. Please pardon me if it sounds
> too silly. I am new to factor analysis.
>
> When we run the factor analysis, normally we need to look at
> eigenvalues and see how many factors we need to keep. Here is my
> results which suggested keep 2 factors. Is there a program that can
> sort of combine two factor into one score? I read from literature that
> "the factors must first be generated using the Thompson's regression
> method and then each must be multiplied with its own proportion of
> variance explained" . Can we do that in Stata?
>
> k | Eigenvalues | Proportion explained | Cum. explained
> ----+---------------+------------------------+------------------
> 1 | 1.763798 | 0.352760 | 0.352760
> 2 | 1.312006 | 0.262401 | 0.615161
> 3 | 0.941635 | 0.188327 | 0.803488
> 4 | 0.592744 | 0.118549 | 0.922037
> 5 | 0.389817 | 0.077963 | 1.000000
>
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