For correlation or covariance matrices, the matrix
data file has two special variables created by the program: ROWTYPE_ and VARNAME_. Variable ROWTYPE_ is a short
string variable with the value CORR (for Pearson correlation coefficient)
or COV (for covariance) for each matrix row. Variable VARNAME_ is a short string variable whose
values are the names of the variables used to form the correlation
matrix.
For factor-loading matrices, the program generates
two special variables named ROWTYPE_ and FACTOR_. The value for ROWTYPE_ is always FACTOR. The values for FACTOR_ are the ordinal numbers of the factors.
For factor score coefficient matrices, the matrix
data file has two special variables created: ROWTYPE_ and VARNAME_. If split-file processing is in effect, the split variables appear
first in the matrix output file, followed by ROWTYPE_, VARNAME_, and the variables in the analysis. ROWTYPE_ is a short string with three possible values: MEAN, STDDEV, and
FSCOEF. There is always one occurrence of the value MEAN. If /METHOD = CORRELATION then there is one
occurrence of the value STDDEV. Otherwise, this value does not appear.
There are as many occurrences of FSCOEF as the number of extracted
factors. VARNAME_ is a short string
who values are FACn where n is the sequence of the saved factor when ROWTYPE_ equals FSCOEF. Otherwise the value
is empty.
The remaining variables are the variables used to
form the matrix.