Haider --
 
You may want to consider another approach:
 
1.  Use "Policy Capturing", "Judgment Analysis (JAN)", "Policy Specifying" or any of your
favorite Multi-Attribute Decision Model approaches to obtain ONE function of
your THREE DEPENDENT VARIABLES.
 
IMHO,  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 involved with factor analysis interpretation.
 
However, if you want to do a factor analysis on the PREDICTORS, then you can 
USE THE FACTOR SCORES AS PREDICTORS. The disadvantage of using factor scores
is that you still have to use ALL OF THE PREDICTOR VARIABLES.  So if you
would like to reduce the number of predictors, then you should NOT use
factor scores but use regression models.
 
-- Joe
************************************************************************
* Joe Ward                                  Health Careers High School *
* 167 East Arrowhead Dr                     4646 Hamilton Wolfe        *
* San Antonio, TX 78228-2402                San Antonio, TX 78229      *
* Phone: 210-433-6575                       Phone: 210-617-5400        *
* Fax: 210-433-2828                         Fax: 210-617-5423          *
* [EMAIL PROTECTED]                                                    *
* http://www.ijoa.org/joeward/wardindex.html                           *
************************************************************************
 
 
 
 
----- Original Message -----
From: Haider Al-Katem <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Saturday, December 18, 1999 4:00 AM
Subject: Factor analysis

| 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 factors which leaves me
| with a NOT SIMPLE FACTOR STRUCTURE.
|
| I am assuming that since 'Intention To Buy', 'Attitude towards a product'
| and 'Trust in buying the product from a merchant'  all seem to be some type
| of an ATTITUDE , the significantly high factor loadings on the two factors
| may be justifiable.
|
| My questions are:
|
| 1. Are my above interpretations of the result correct?
|
| 2. If not, is there a statistical method that can help me overcome this
| 'non-simple factor structure'?
|
| Thanks.
|
|
|

Reply via email to