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- coordinates of in a 2-dimensional space.
I believe the formula for estimating factor scores of a common-factor model is not trvial (unless all communalities are 1). Therefore one might as well let the software calculate factor scores. The topic is well explained in the SAS manual (PROC FACTOR)--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/homepages/jsuebersax/agree.htm Latent Structure: http://ourworld.compuserve.com/homepages/jsuebersax Existential Psych: http://members.aol.com/spiritualpsych Diet & Fitness: http://members.aol.com/WeightControl101 -------------------------------------------------------------------------------- "Huxley" <[EMAIL PROTECTED]> wrote in message news:<a2u3sa$q3e$[EMAIL PROTECTED]>... > Hi, > I've got a question. Does anyone know how to set object in 2-factor > dimensional space ... > I heard that factor score for a product is equal to product of the suitable > factor loadings and variables mean. i.e. > f(m,p)=a(1,m)u(1,p) +a(2,m)u(2,p)+ ...+a(j,m)u(j,p) > where: f(m,d) - factor score for m-factor, p-th - consumer product , u(*) - > mean for variable j and product p. > Could you tell me is this true? How to proof this formally ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
