Showing posts with label data reduction. Show all posts
Showing posts with label data reduction. Show all posts

Tuesday, 24 July 2012

Factor Analysis in short (not my writing)

What is Factor Analysis?*
"Factor analysis is a form of exploratory multivariate analysis that is used to either reduce the number of variables in a model or to detect relationships among variables. All variables involved in the factor analysis need to be interval and are assumed to be normally distributed."

SPSS syntax:

factor
/variables read write math science socst
/criteria factors(2)
/extraction pc
/rotation varimax
/plot eigen.

Here is the syntax in SPSS from ANU course notes:

FACTOR
/VARIABLES q34_1 to q34_12
/MISSING LISTWISE /ANALYSIS q34_1 to q34_12
/PRINT INITIAL KMO REPR EXTRACTION ROTATION
/CRITERIA MINEIGEN(1) ITERATE(25)
/FORMAT SORT
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION .

Crate SCALE using FA

FACTOR
/VARIABLES q34_1 to q34_12
/MISSING LISTWISE /ANALYSIS q34_1 to q34_12
/PRINT INITIAL KMO REPR EXTRACTION ROTATION
/CRITERIA MINEIGEN(1) ITERATE(25)
/FORMAT SORT
/EXTRACTION PAF
/PLOT EIGEN
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/SAVE REG (2)
/METHOD=CORRELATION .



*Introduction to SAS. UCLA: Academic Technology Services, Statistical Consulting Group. from http://www.ats.ucla.edu/stat/sas/notes2/ (accessed November 24, 2007).