**Factor Analysis on Factors**Hi Everyone:
Good to join this group. I am doing exploratory factor analysis on
several measures related to human personality development. The
resulting factors are interesting. I am wondering if it is possible to
do a factor analysis on the factors themselves? In this way, I hope to
cluster the factors into "mega factors" (Neurosis-Passivity;
Narcissism-Aggression, etc.).
I don't know much about confirmatory factor analysis. Would the latter
yield this type of information (i.e., higher level factors)? Thanks
for your help,
-Charles
...

**Factor Analysis: Number of Factors**Hi,
I have a very basic question in factor analysis - how many factors to menti=
on in nfactor option while running a proc factor
I can select how many factors I want to analyze by checking the scree plot =
or by help of eigen value (>1), but if I run proc factor with nfactor=3D10=
or nfactor=3D50 then loading on factors changes significantly and this eve=
n changes the business definition of my factors.
Please help me understand how to choose the optimal value of nfactor or if =
there is a way by which we derive that value than what is that way
Regards,
Rajat
_______________________...

**Re: Factor Analysis on Factors**charles19 <charles19@SYMPATICO.CA> wrote
>Sent: Jun 26, 2008 9:43 AM
>To: SAS-L@LISTSERV.UGA.EDU
>Subject: Factor Analysis on Factors
>
>Hi Everyone:
>
>Good to join this group.
We're a fun bunch. :-) Nice to have you
I am doing exploratory factor analysis on
>several measures related to human personality development. The
>resulting factors are interesting. I am wondering if it is possible to
>do a factor analysis on the factors themselves? In this way, I hope to
>cluster the factors into "mega factors" (Neurosis-Passivity;
>Narcissi...

**Factor analysis: interpretation of factors**Hello,
To gain more insight in 23 variables, I used factor analysis. The best
solution was found using 9 factors. Looking at the factors, I found that it
all made very good sense: it all looks right, except for 1 variable. I
really can't explain his presence on the factor he's in. I tried what would
happen when I used 10 factors, but he still remains on that factor.
I don't think there is anyway to solve this problem, so I'll just have to it
for granted.
My question is, - when writing a researchpaper - how does one report such an
situation?
In books about data analy...

**Factor Analysis-How many factors I need**I used the following statement for my Factor Analysis :
************************************************************
proc factor DATA=OUT.Baseline priors=smc msa preplot plot ROTATE=varimax SCREE;
Var Quest1-quest21;
Run;
*******************************************************
Below is the part of the output:
FACTOR ANALYSIS FOR 21 QUESTIONS IN base
The FACTOR Procedure
Initial Factor Method: Principal Factors
Factor Pattern
Factor1 Factor2
Quest1 0.45597 -0.19266
Quest2 0.66878 -0.24750
Quest...

**Re: Factor Analysis: Number of Factors**Rajat,
Take a look at:
http://ssc.utexas.edu/consulting/answers/general/gen16.html
HTH,
Art
--------
On Mon, 6 Jul 2009 06:38:31 -0500, Mathur, Rajat
<Rajat.Mathur@DIAMONDCONSULTANTS.COM> wrote:
>Hi,
>
>I have a very basic question in factor analysis - how many factors to
mention in nfactor option while running a proc factor
>
>I can select how many factors I want to analyze by checking the scree plot
or by help of eigen value (>1), but if I run proc factor with nfactor=10 or
nfactor=50 then loading on factors changes significantly and this even
changes the busines...

**Re: Factor Analysis: Number of Factors #3**--- On Mon, 7/6/09, Peter Flom <peterflomconsulting@MINDSPRING.COM> wrote:
> From: Peter Flom <peterflomconsulting@MINDSPRING.COM>
> Subject: Re: Factor Analysis: Number of Factors
> To: SAS-L@LISTSERV.UGA.EDU
> Date: Monday, July 6, 2009, 6:18 AM
> "Mathur, Rajat" <Rajat.Mathur@DIAMONDCONSULTANTS.COM>
> wrote
>
> >
> >I have a very basic question in factor analysis - how
> many factors to mention in nfactor option while running a
> proc factor
> >
>
> Basic, but far from simple or easy!
True, very true!!!
>
&...

**Re: Factor Analysis-How many factors I need**Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
http://cduhr.ndri.org
www.peterflom.com
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)
>>> Irin later <irinfigvam@YAHOO.COM> 03/19/06 6:38 PM >>> wote
<<<
That is why I would like to FORCE program to generate 3 factors for my Baseline survey too instead 2 which output gave me. Actually specs are set at this time .I mean which question belong to which score (physical, emotio...

**Re: Factor Analysis: Number of Factors #4**Dale McLerran <stringplayer_2@YAHOO.COM> wrote
>
>I would agree 100% with everything that Peter has written.
I always like it when Dale agrees with me!
>Instead of using visual examination of the scree plot or the
>(liberal) eigenvalue>1 approach to determining the number of
>factors to retain, I favor the approach known as "parallel
>analysis". The method of parallel analysis has been around
>since 1965. However, it has received little attention until
>recently. The method of parallel analysis requires
>resampling from the original data. Ei...

**Re: Factor Analysis: Number of Factors #7**Something is seriously wrong with the Gmail editor It complete scrambles m=
y
text! I edited this version in Word:
I make extensive use of both Factor Analysis & Principal Components
Analyses. I mostly use both tools to reduce dimensionality in data sets of
multidimensional reference axes (n-dimensional coordinate systems)--which
are bipolar in nature. I deal with negative factor (or component) loadings
by "reflecting" them so that all loadings are positive. In my work I deal
with the mind, and I take an unapologetic approach that accepts the
multidimensional nature of the ...

**Re: Factor Analysis: Number of Factors #6**I make extensive use of both Factor Analysis & Principal Components
Analyses. I mostly use both tools to reduce dimensionality in data sets of
multidimensional reference axes (n-dimensional coordinate systems)--which
are bipolar in nature. I deal with negative factor (or component) loadings
by "reflecting" them so that all loadings are positive. In my work I deal
with the mind, and I take an unapologetic approach that accepts the
multidimensional nature of the mind phenomenon or mind event. If pushed, I
will cite C. Lloyd Morgan's (following Alfred North Whitehead) notion...

**Re: Factor Analysis: Number of Factors #5**Oops, I sent the almost unreadable unfinished version. Here is the
corrected version
I make extensive use of both Factor Analysis & Principal Components
> Analyses. I mostly use both tools to reduce dimensionality in data sets =
of
> multidimensional reference axes (n-dimensional coordinate systems)--which
> are bipolar in nature. I deal with negative factor (or component) loadin=
gs
> by "reflecting" them so that all loadings are positive. In my work I dea=
l
> with the mind, and I take an unapologetic approach that accepts the
> multidimensional nature of...

**Re: Factor Analysis: Number of Factors #2**"Mathur, Rajat" <Rajat.Mathur@DIAMONDCONSULTANTS.COM> wrote
>
>I have a very basic question in factor analysis - how many factors to mention in nfactor option while running a proc factor
>
Basic, but far from simple or easy!
>I can select how many factors I want to analyze by checking the scree plot or by help of eigen value (>1), but if I run proc factor with nfactor=10 or nfactor=50 then loading on factors changes significantly and this even changes the business definition of my factors.
>
>Please help me understand how to choose the optimal value of ...

**factor analysis**I am using factor analysis on various asset returns. Could
not get factoran to work so I am using the function FA from
FEX:
function [B,L,var,fac,E] = FA(X,s)
http://www.mathworks.com/matlabcentral/files/14115/FA.m
where L is the rotated loading, var is the variability
proportions and fac is estimated/rotated factors etc.
Where I need help is how to convert 'fac' into observation
space, the same as 'X' is in. What I want to do is to be
able to plot 'fac' together with 'X' for comparison, or
convert the returns back into asset values, which requires
&...

**Calculating factor scores for new dataset after factor analysis**Hello,
I want to calculate the factor scores for a new "raw" dataset after I
did a factor analysis with a "original" dataset, which is supposed to
have the same structure as the new dataset. Unfortunately I got no
idea how to do that yet and I'd be grateful if anybody could give me a
hint.
Bastian
I haven't tried it with factor analysis, but with regression analysis
the following worked.
1) Join the old file (file 1) and the new file (file 2).
2) Make a factor analysis, but use only the cases from file 1 (with
the select subcommand)
3) The model w...

**Factor Analysis**Is anyone aware of complications involved in running factor analysis on
standardized Z-scores versus raw scores on variables. I wish to examine the
factor structure of a summary score variable I created based on individual
items pooled together from different sources.
Thanks in advance
Anthony Beckman
URMC
Anthony_Beckman@urmc.rochester.edu
It's no problem for Exploratory factor analysis (EFA) since it operates
on the correlation matrix anyway. As long as you don't round too much,
the correlation matrices shouls be the same. For confirmatory factor
analysis (CFA) the story is diff...

**FACTOR ANALYSIS.**Respected Staticians/SAS users,
I have used Factor analysis several times for cross sectional data. In one
of my current assignments I have 'Time Series data' I was wandering if I
could use Factor analysis for data reduction. If so what precautions need to
be taken? if any.
I would appreciate if any of you have any recommendations.
(Basically the data has 12 months of data on 3 variables)
Regards,
Sajeel
_________________________________________________________________
Getting married? Find great tips, tools and the latest trends at MSN Life
Events. http://lifeevents.msn.com/categ...

**factor analysis**Dear Group,
I'm a novice at factor analysis and wanted to use SPSS for both
exploratory and confirmatory factor analysis. A few questions about
SPSS V.11 or 12 capabilities regarding factor analysis:
1. Re Confirmatory factor analysis: I understand that I can't use
SPSS for confirmatory factor analysis - that I need to use AMOS. Has
anyone used AMOS successfully for CFA? (I recall having trouble with
it a number of years ago). If not, what user friendly software would
you recommend?
2. Re Exploratory factor analysis: I am told that if there are
different number of...

**Regression factor scores from correlational matrix file factor analysis**Hello,
Thank you in advance to anyone who can help me. I'm struggling to find
infomation about this.
Firstly, I am using SPSS. My data was not normally distributed so I
created a correlational matrix file to do factor analysis. I then
rotated my factor analysis (equamax rotation) and created factor scores
using regression.
This is my problem:
I created factor scores but I don't know how to go about comparing men
and women (the variable: sex) for each factor in my correlation matrix
file because 'sex' is represented by a singular score. In the SPSS
file, th...

**Factor Analysis**read the SPSS output on a factor analysis?
I conducted a factor analysis on 15 variables. The output mentions
that 6 components were extracted. But which 6 components are those?
Sincerely,
Cortes
On Mar 31, 8:51=A0pm, Cortes <nelson.cor...@gmail.com> wrote:
> read the SPSS output on a factor analysis?
>
> I conducted a factor analysis on 15 variables. =A0The output mentions
> that 6 components were extracted. =A0But which 6 components are those?
>
> Sincerely,
> Cortes
You should read up on factor analysis. Those components are
underlying dime...

**How interpret an output of eig for determining a number of factors for Factor Analysis?**Hello,
I'm trying to determine a number of factors "m" for factor analysis, in matlab: factoran(X,m). I have tried to compute the eigenvalues, using eig(x) where x is a correlation matrix. But it's not clear how could I use the outputs of eig. I receive a vector that has an increasing order. I'd actually expect the opposite (decreasing in a number of the factors) that is also suggested by the typical shape of scree plots.
Thank you.
...

**Minimun acceptable number of factors in factor analysis & tetrachoric correlation**Hi!
Two naive questions...
What would be the Minimun acceptable number of factors in factor
analysis? Any reference to support this?
What is tetrachoric correlation & how one could calculate this in
SPSS?
Thank you !
...

**Boolean Factor analysis**Hi all,=20
I am intrested in using factor analysis for data reduction purposes. Now =
the issue I'm faced with is that=20
in my data set I have 4 continuious and 17 dummy variables.=20
My questions are.
Should factor analysis be used for this at all?
If yes, what precautions need to be taken?
And is it recommend to to FA on just the dummy variables seperately? =
Could any body direct me as to what code I should use for dummy factor =
analysis.=20
Any help in the above matter will be appreciated.=20
Best regards,
Sajeel
Sajeel,
I am not expert in factor analysis. However, it is ofte...

**a question of factor analysis**Hi ,
when I tried the factor analysis ( fist time), there is a log message
confused me:
"The number of observations is not greater than the number of
variables."
Acturally there are 170 obs with 278 variables on the data.
Would you give me some explainations and let me know if this going to
have some bad effect?
I'm trying to find the appropriate factors to fit model.
Here is my code.
proc factor data=data_1 method=principal scree mineigen=1
rotate=VARIMAX score NFACTORS=3
out=trash.factor1
outstat=trash.fact_all;
run;
Thank you very much.
Understand that with 2...