:
http://www.wiley.co.uk/wileychi/eob/
John Uebersax, PhD (858) 597-5571
La Jolla, California (858) 625-0155 (fax)
email: [EMAIL PROTECTED]
Statistics: http://ourworld.compuserve.com/homepages
ACTOR)--perhaps also in the
SPSS manual.
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Agreement Stats: http://ourworld.compuserve.com/home
n, the Spearman, or the polyserial correlation
coefficients.
Good luck!
----
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Agreement Stats: http://
iables in
> obervations I have got.
Which is your goal: to find groups of similar objects (object cluster
analysis), or to find groups of similar variables (variable cluster
analysis)?
John
----
John Uebersax, PhD
Hartigan, J.A. (1975), Clustering Algorithms, New York: John Wiley &
Sons, Inc.
----
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTEC
ou can find PCA code in f77 and C at Fionn Murtagh's "Multivariate
Data Analysis Software and Resources Page":
http://astro.u-strasbg.fr/~fmurtagh/mda-sw/
Hope this helps.
John Uebersax
----
Joh
ttitude
measurement; it seems reasonable to refer to such items as
"Likert-type items", to distinguish them from strict Likert items as
described above.
If anyone has any definitive references that clarify this, I would
greatly appreciate learning of them.
rogram, see:
http://ourworld.compuserve.com/homepages/jsuebersax/margin.htm
http://ourworld.compuserve.com/homepages/jsuebersax/mcnemar.htm
http://ourworld.compuserve.com/homepages/jsuebersax/mh.htm
----
John Uebersax, PhD
hanks
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Agreement Stats: http://ourworld.compuserve.com/homepages/jsuebersax/agree.htm
Latent Structure: http://ourworld.compuserve.com/homepages/jsuebersax
Existential
ar more likely to use SAS PROC FACTOR than my own program.
----
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Agreement Stats: http://ourworld
ariance in one structure explained by
the other.
Hope this helps.
John
----
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Agreement Stats: htt
No I had more in mind:
1. The argument room
and perhaps:
2. "Well I didn't expect the Spanish Inquisition"
It's like asking a question like, "Excuse me, can you tell me how to
get to First and Main Street," and getting 5 replies like "Oh come
now, why would anybody want to go to First and M
and copy it into Word or whatever.
====
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Existential Psych: http://members.aol.com/spiritualpsyc
subject.
John
====
John Uebersax, PhD (805) 384-7688
Thousand Oaks, California (805) 383-1726 (fax)
email: [EMAIL PROTECTED]
Existential Psych: http://members.aol.com/spiritualpsych
Agreement Stats: http://ourworld.compuserve.com/homepages/jsueb
).
The diagram should show the area of each circle as proportional its N,
and the overlap area as proprotional to the number of cases in both
groups.
Thanks in advance.
John Uebersax
John Uebersax, PhD (805
inical trials
research.
(and now, off my soapbox).
John Uebersax
> ... . A group in which half the subjects like their salsa very hot
> and the other half like it very mild is *not* the same as a group in which
> all the subjects like moderately spicy salsa. A group of 50 partisan
>
tiple psychological traits, these are
often correlated--so one often wishes to relax the requirement of
orthogonality.
John Uebersax
"Magenta" <[EMAIL PROTECTED]> wrote in message
news:<LIN77.634$[EMAIL PROTECTED]>...
> Why a factor analysis and not a principal components
North Carolina,
are you?
John Uebersax
Teen Assessment Project <[EMAIL PROTECTED]> wrote in message
news:<[EMAIL PROTECTED]>...
> I am using a measure with likert scale items. Original psychometrics
> for the measure
> included factor analysis to reduce the 100 variables to
As the other reply suggested, perhaps there is a problem with local
maxima.
Or maybe, since these are different programs, the commands in one case
were incorrect. Why not run a metric MDS for comparison purposes?
That might help you decide whether the Alscal or NCSS results are
suspect.
John
or the error and thank Jon for pointing it out.
John Uebersax
John Uebersax wrote:
>
> +infinity [<-- should be z, not +infinity]
>p = PHI(z) = INTEGRAL phi(z)
>-infinity
>
> where:
> z = standard normal deviate
> PH
. Discrete multivariate
analysis: theory and practice. Cambridge, Massachusetts: MIT
Press, 1975
or any text on loglinear modeling, or one of Alan Agresti's books on
categorical data analysis.
--
John Uebersax
http://ourwor
.
John Uebersax
[EMAIL PROTECTED]
P.S. I use MIRA and WinMIRA.
In article <000e01c07f9e$fe326610$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (=?iso-8859-1?Q?Mag._Stefan_H=F6fer?=) wrote:
> I`d like to obtain information about computersoftware (free, trail or
> commercial) to calculate
atric diagnosis might
legitimately be considered a medical disability.
IMHO, psychological tests in this case should not substitute for a
thorough interview and human judgment.
Just my .02 worth.
--
John Uebersax
In article <9211so$9kt$[EMAIL PROTECTED]>,
T.S. Lim <[EMAIL PROTECTED
ement, 1991, 15, 35-46.
Note that conditioning the matrix in this way is a completely "ad hoc"
procedure.
Hope this helps.
--
John Uebersax
[EMAIL PROTECTED]
Sent via Deja.com http://www.deja.com/
Before you buy.
=
Yes, but garbage in, garbage out. :)
--
John Uebersax
[EMAIL PROTECTED]
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about
Based on more research, here are some updates and corrections to
my reply of yesterday -- John Uebersax
MULTIDIMENSIONAL LATENT TRAIT AND ITEM RESPONSE THEORY (IRT)
MODELS
As mentioned in yesterday's post, this does not include
information on logistic-ogive and Rasch-type multidimens
CT, and the McDonald
program), I believe that two may be different versions of the same
thing.
This should be plenty to get you started!
--
John Uebersax
[EMAIL PROTECTED] (reply to this address, not compuserve)
===
This
aters simultaneously. That is done with Fleiss' kappa (as opposed to
Cohen's kappa, which only applies for pairwise comparisons). For a
discussion of the difference between these two types of kappa, see
Joseph Fleiss, Statistical Methods for Rates and Proportions, 1981.
--
John Uebersax
[
d with X and Y
are normally distributed (and jointly distributed as bivariate
normal). However, the biserial/polyserial correlation allows that one
of the variables has been "discretized."
You might want to consider this option. For more information, you
could check Kendall & Stuart, "The Advanced Theory of Statistics."
Hope this helps.
John Uebersax
[EMAIL PROTECTED]
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