to amplifiy a bit, the interpretability of regression tends to go down as
the assumptions of normality and homogeneous variance are markedly
different from reality. You can still go through the calcualtions but the
interpretation of results gets tricky. Factor analysis is a sort of
regression
On 1 Mar 2002 04:51:42 -0800, [EMAIL PROTECTED] (Mobile Survey)
wrote:
> What do i do if I need to run a factor analysis and have non-normal
> distribution for some of the items (indicators)? Does Principal
> component analysis require the normality assumption.
There is no probl
What do i do if I need to run a factor analysis and have non-normal
distribution for some of the items (indicators)? Does Principal
component analysis require the normality assumption. Can I use GLS to
extract the factors and get over the problem of non-normality. Please
do give references if you
In article <[EMAIL PROTECTED]>,
Roland Pesch <[EMAIL PROTECTED]> wrote:
>HI,
>I'm trying to perform factor analysis on mosses from 1028 moss
>monitoring sites, each of which was chemically anaylsed on 20 heavy
>metal elements. All of these samples do not follow a
On Tue, 29 Jan 2002 10:52:30 +0100, "Huxley" <[EMAIL PROTECTED]> wrote:
>
> Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci
> [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> > It's not so simple. You have to do matrix-inversion for
> > that.
> >
> Not simple? I heard that ta
Huxley schrieb:
>
> Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci
> [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> > It's not so simple. You have to do matrix-inversion for
> > that.
> >
> Not simple? I heard that taking suitable factor loadings and every variable
> mean I
y 10
variables.
> > A consumers fill this questionnaire for each 15 products e.g
cars. Because
> > 10 variables (X1, X2, ...,X10) are correlated with each other I
use factor
> > analysis and (for convinence I ordered it) I get
> > Factor1: X1,X2,X3,X4,X5,X6,X7
> > Factor2:
Uzytkownik "Gottfried Helms" <[EMAIL PROTECTED]> napisal w wiadomosci
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> It's not so simple. You have to do matrix-inversion for
> that.
>
Not simple? I heard that taking suitable factor loadings and every variable
mean I can obtain this space. e.g. (I
5 products e.g cars. Because
> 10 variables (X1, X2, ...,X10) are correlated with each other I use factor
> analysis and (for convinence I ordered it) I get
> Factor1: X1,X2,X3,X4,X5,X6,X7
> Factor2: X8,X9,X10
>
> I can e.g put X1 into 2-D space, because I know that
> X1= -1
correlated with each other I use factor
analysis and (for convinence I ordered it) I get
Factor1: X1,X2,X3,X4,X5,X6,X7
Factor2: X8,X9,X10
I can e.g put X1 into 2-D space, because I know that
X1= -1*F1+ (-1*F2). It means that X1 has co-ordinates X1=(-1,-1).
It's simple. But I'm not int
A program like SAS or SPSS will calculate factor scores for you. A
factor score is an estimated location of an object (not a variable)
relative to a factor. If your factors are orthogonal, then you can
plot each case using that case's score on Factor 1 and the score on
Factor 2 as the X- and Y-
Hi,
I've got a question. Does anyone know how to set object in 2-factor
dimensional space i.e I have 2 factor score. Therefore I can put variables
in this space. But variables describe objects (i.e. these are 12 consumer
products) and I don't care variables in space but only these products.
I hear
mming environment. In its MVA (Multivariate) package, it includes
> > routines for factor analysis using maximum liklihood estimation with varimax
> > and promax rotations.
> >
>
> I have installed R1.3.0 on my Windows system and have noted that MVA
> is an add-on. The
UNESCO IDAMS team would be very pleased to collect your comments about WinIDAMS
Factor Analysis procedure and any matters regarding the software.
[EMAIL PROTECTED] (Richard Wright) wrote in message
news:<[EMAIL PROTECTED]>...
> I can't say whether it any good, let alone the be
following url:
http://www.unesco.org/idams "
I have checked the URL. It does offer factor analysis.
Richard Wright
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES a
it), type:
library(mva)
then you can ask for, for example:
help (factanal)
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, September 05, 2001 5:42 PM
To: [EMAIL PROTECTED]
Subject: Re: Factor analysis - which package is best for Windows
On Thu, 06 Sep 2001 13:41:32 GMT, [EMAIL PROTECTED] (Andreas
Karlsson) wrote:
>In my opinion SAS is the best computer package for Factor analysis in
>Windows. And for most other analyses too...
testing...
=
Instructio
In my opinion SAS is the best computer package for Factor analysis in
Windows. And for most other analyses too...
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are
te) package, it includes
> routines for factor analysis using maximum liklihood estimation with varimax
> and promax rotations.
>
I have installed R1.3.0 on my Windows system and have noted that MVA
is an add-on. The FAQ tells how to obtain these add-ons but only for
UNIX. Is this add-o
"Aron Landy" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> Problem is, SAS costs about $20,000 whereas CVF & IMSL come bundled for
> $800
>
> Aron
>
> "John Uebersax" <[EMAIL PROTECTED]> wrote in message
> [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
[sni
Thanks for the tip on KyPlot. It does seem very nice.
Two questions:
1. As best I can tell, the Factor Analysis routines work off
a correlation or covariance matrix. At least from a perusal
of the Help index, I can't see how to run Factor Analysis from
raw data, or to calc
Also check out R, a GNU implementation of the S language, most prominently
known through its use in S-Plus. R is a fully featured statisitical
programming environment. In its MVA (Multivariate) package, it includes
routines for factor analysis using maximum liklihood estimation with varimax
and
I have tried it and it is amazing. A bargain ;)
"Richard Wright" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> KyPlot runs under Windows, is freeware and gives you several factor
> analysis algorithms to choose from.
>
KyPlot runs under Windows, is freeware and gives you several factor
analysis algorithms to choose from.
http://www.rocketdownload.com/Details/Math/kyplot.htm
On Wed, 29 Aug 2001 23:59:44 +0100, "Aron Landy" <[EMAIL PROTECTED]>
wrote:
>Problem is, SAS costs about $20,000
Problem is, SAS costs about $20,000 whereas CVF & IMSL come bundled for
$800
Aron
"John Uebersax" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> It depends on what you want to do. Sure, for learning about factor
> an
It depends on what you want to do. Sure, for learning about factor
analysis, it's fun to write your own fortran programs. It's also a
good way to learn to use IMSL routines. If you're heading towards
work in methodology and software development, it might be instructive
to write
"Aron Landy" <[EMAIL PROTECTED]> wrote in message
3b8b6418$0$8507$[EMAIL PROTECTED]">news:3b8b6418$0$8507$[EMAIL PROTECTED]...
> Any ideas, anyone? I am thinking of using IMSL (which comes free with
Compaq
> Visual Fortran). Can I do better?
Any of the "standard" statistical packages should be f
Any ideas, anyone? I am thinking of using IMSL (which comes free with Compaq
Visual Fortran). Can I do better?
Aron Landy
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES a
[EMAIL PROTECTED] wrote:
> A self-report scale was constructed to measure work ethic and included three
> conceptually derived components of work ethic. Maximum likelihood factor
> analysis was then applied with the request of 3 factors to determine if the
> conceptually derive
A self-report scale was constructed to measure work ethic and included three
conceptually derived components of work ethic. Maximum likelihood factor
analysis was then applied with the request of 3 factors to determine if the
conceptually derived components actually represent empirical factors
For the natural sciences, try Reyment & Joreskog Applied Factor analysis
for the natural sciences, Cambridge Univ Press.
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] wrote:
> > [EMAIL PROTECTED] wrote:
> >
> > > What are your favorite book(s) on factor an
go to http://www.sagepub.com/
search on ... factor analysis ... some nice short books here
At 03:06 PM 4/5/00 +0200, Gottfried Helms wrote:
> > [EMAIL PROTECTED] wrote:
> >
> > > What are your favorite book(s) on factor analysis?
> > >
> > > What do you
> [EMAIL PROTECTED] wrote:
>
> > What are your favorite book(s) on factor analysis?
> >
> > What do you think of R. Gorsuch's book?
> >
My favorite is Stan Mulaik "The foundations of factor analysis".
It is comprehensive and still straightforward f
Check out 'Multivariate Data Analysis' (4th Ed.)
Hair, Anderson, Tatham & Black
Great book.
[EMAIL PROTECTED]
[EMAIL PROTECTED] wrote:
> What are your favorite book(s) on factor analysis?
>
> What do you think of R. Gorsuch's book
What are your favorite book(s) on factor analysis?
What do you think of R. Gorsuch's book?
Thanks,
Scott Millis
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate mes
or should I delete the unrrelated items
from the factor analysis?
Thanks in advance.
When I perform a factor analysis on the items of a questionnaire should I
include items that make up the Dependent Variables (DVs) as well as the
Independent Variables (IVs) in the analysis or should I perform two separate
factor analysis, one on the items making up the Dependent Variables and
When I perform a factor analysis on the items of a questionnaire should I
include items that make up the Dependent Variables (DVs) as well as the
Independent Variables (IVs) in the analysis or should I perform two separate
factor analysis, one on the items making up the Dependent Variables and
When I perform a factor analysis on the items of a questionnaire should I
include items that make up the Dependent Variables (DVs) as well as the
Independent Variables (IVs) in the analysis or should I perform two separate
factor analysis, one on the items making up the Dependent Variables and
they measure different things then
they should be included, if significant. If they overlap, look at your
hypothesis and make a judgment based on the results.
In article <864hr0$805$[EMAIL PROTECTED]>,
"haytham siala" <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I ha
Hi,
I have a question related to factor analysis.
If a questionnaire item was found to load significantly on more than one
factor and let us assume that each factor represents a potential measurement
scale for a particular construct, should I retain the same item for both
factors (scales) i.e
HO, Only human(s) should make
judgments
about how to combine multiple dependent
variables.
After that, you now have Y = function of (your
THREE DEPENDENT VARIABLES)
2. Then you use your favorite
regression
program to predict Y = function of (your
PREDICTOR VARIABLES)
This approach is not
--
In article <83ftip$qdf$[EMAIL PROTECTED]>, "Haider Al-Katem"
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> I have conducted a factor analysis on some questionnaire items. The
> dependent variables that I am measuring for example ('Intention To Bu
--
In article <83ftvs$qjq$[EMAIL PROTECTED]>, "Haider Al-Katem"
<[EMAIL PROTECTED]> wrote:
> What is the difference between SEM and Confirmatory factor analysis?
> Can I perform either of those statistical analyses on a sample size of 50?
SEM (Structural
Haider Al-Katem wrote:
> I have conducted a factor analysis on some questionnaire items. The
> dependent variables that I am measuring for example ('Intention To Buy',
> 'Attitude towards a product' and 'Trust in buying the product from a
> merchant'
On Sat, 18 Dec 1999 12:00:52 -, "Haider Al-Katem"
<[EMAIL PROTECTED]> wrote:
> I have conducted a factor analysis on some questionnaire items. The
> dependent variables that I am measuring for example ('Intention To Buy',
> 'Attitude towards a product
What is the difference between SEM and Confirmatory factor analysis?
Can I perform either of those statistical analyses on a sample size of 50?
Hi,
I have conducted a factor analysis on some questionnaire items. The
dependent variables that I am measuring for example ('Intention To Buy',
'Attitude towards a product' and 'Trust in buying the product from a
merchant' ) seem to load significantly high on two
Two days ago I posted a URL for downloading a tutorial of factor
analysis. However, when I uploaded the program, I forgot to include the
associated QuickTime movies. The corrected zip file has been re-uploaded to:
http://seamonkey.ed.asu.edu/~alex/alex/multimedia/factor.zip
I made the same
Hi, I have several things. The following is a website explaining concepts
of factor, vector, eigenavector, eigenvalue, variable space, subject
space...etc:
http://seamonkey.ed.asu.edu/~alex/computer/sas/biplot.html
I also have a multimedia program:
http://seamonkey.ed.asu.edu/~alex/multimedi
Hi,
I'm going to be doing a mini-course on exploratory factor analysis and
don't wnat to reinvent the wheel. Does anyone have PowerPoint or other
graphics that I could 'borrow' to show geometric nature of efa, rotations,
etc.?
thanks,
Marley
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