PRINT Subcommand (CATPCA command)

The Model Summary (Cronbach's alpha and Variance Accounted For) and the HISTORY statistics (the variance accounted for, the loss, and the increase in variance accounted for) for the initial solution (if applicable) and last iteration are always displayed. That is, they cannot be controlled by the PRINT subcommand. The PRINT subcommand controls the display of additional optional output. The output of the procedure is based on the transformed variables. However, the keyword OCORR can be used to request the correlations of the original variables, as well.

The default keywords are DESCRIP, LOADING, and CORR. However, when some keywords are specified, the default is nullified and only what was specified comes into effect. If a keyword is duplicated or if a contradicting keyword is encountered, the last specified keyword silently becomes effective (in case of contradicting use of NONE, only the keywords following NONE are effective). An example is as follows:

/PRINT <=> /PRINT = DESCRIP LOADING CORR


/PRINT = VAF VAF <=> /PRINT = VAF


/PRINT = VAF NONE CORR <=> /PRINT = CORR

If a keyword that can be followed by a variable list is duplicated, a syntax error occurs, and the procedure will terminate.

The following keywords can be specified:

DESCRIP(varlist). Descriptive statistics (frequencies, missing values, and mode). The variables in the varlist must be specified on the VARIABLES subcommand but need not appear on the ANALYSIS subcommand. If DESCRIP is not followed by a varlist, descriptives tables are displayed for all variables in the varlist on the ANALYSIS subcommand.

VAF. Variance accounted for (centroid coordinates, vector coordinates, and total) per variable and per dimension.

LOADING. Component loadings for variables with optimal scaling level that result in vector quantification (that is, SPORD, SPNOM, ORDI, NOMI, and NUME). The LOADING keyword can be followed by SORT or NOSORT in parentheses. If you specify SORT, the loadings are sorted by size. The default setting is NOSORT.

QUANT(varlist). Category quantifications and category coordinates for each dimension. Any variable in the ANALYSIS subcommand may be specified in parentheses after QUANT. (For MNOM variables, the coordinates are the quantifications.) If QUANT is not followed by a variable list, quantification tables are displayed for all variables in the varlist on the ANALYSIS subcommand.

HISTORY. History of iterations. For each iteration (including 0, if applicable), the variance accounted for, the loss (variance not accounted for), and the increase in variance accounted for are shown.

CORR. Correlations of the transformed variables and the eigenvalues of this correlation matrix. If the analysis includes variables with optimal scaling level MNOM, ndim (the number of dimensions in the analysis) correlation matrices are computed; in the ith matrix, the quantifications of dimension i, i = 1, ... ndim, of MNOM variables are used to compute the correlations. For variables with missing values specified to be treated as PASSIVE on the MISSING subcommand, the missing values are imputed according to the specification on the PASSIVE keyword (if no specification is made, mode imputation is used).

OCORR. Correlations of the original variables and the eigenvalues of this correlation matrix. For variables with missing values specified to be treated as PASSIVE on the MISSING subcommand, the missing values are imputed with the variable mode.

OBJECT((varname)varlist). Object scores (component scores). Following the keyword, a varlist can be given in parentheses to display variables (category indicators), along with object scores. If you want to use a variable to label the objects, this variable must occur in parentheses as the first variable in the varlist. If no labeling variable is specified, the objects are labeled with case numbers. The variables to display, along with the object scores and the variable to label the objects, must be specified on the VARIABLES subcommand but need not appear on the ANALYSIS subcommand. If no variable list is given, only the object scores are displayed.

NONE. No optional output is displayed. The only output that is shown is the model summary and the HISTORY statistics for the initial iteration (if applicable) and last iteration.

The keyword TO in a variable list can only be used with variables that are in the ANALYSIS subcommand, and TO applies only to the order of the variables in the ANALYSIS subcommand. For variables that are in the VARIABLES subcommand but not in the ANALYSIS subcommand, the keyword TO cannot be used. For example, if /VARIABLES = v1 TO v5 and /ANALYSIS = v2 v1 v4, then /PLOT OBJECT(v1 TO v4) will give two object plots (one plot labeled with v1 and one plot labeled with v4).