SPSS® 12.0 Command Syntax Reference

Operations
Limitations
CATREG 209
• If a subcommand is specified more than once, the last one is executed but with a syntax
warning. Note this is true also for the VARIABLES and ANALYSIS subcommands.
• If more than one dependent variable is specified in the ANALYSIS subcommand, CATREG
is not executed.
• CATREG operates on category indicator variables. The category indicators should be positive
integers. You can use the DISCRETIZATION subcommand to convert fractional-value
variables and string variables into positive integers. If DISCRETIZATION is not specified,
fractional-value variables are automatically converted into positive integers by grouping
them into seven categories with a close to normal distribution and string variables are
automatically converted into positive integers by ranking.
• In addition to system missing values and user defined missing values, CATREG treats
category indicator values less than 1 as missing. If one of the values of a categorical
variable has been coded 0 or some negative value and you want to treat it as a valid
category, use the COMPUTE command to add a constant to the values of that variable such
that the lowest value will be 1. (See the SPSS Syntax Reference Guide or the SPSS Base
User’s Guide for more information on COMPUTE). You can also use the RANKING option
of the DISCRETIZATION subcommand for this purpose, except for variables you want to
treat as numerical, since the characteristic of equal intervals in the data will not be
maintained.
• There must be at least three valid cases.
• The number of valid cases must be greater than the number of independent variables plus 1.
• The maximum number of independent variables is 200.
• Split-File has no implications for CATREG.
Example
CATREG VARIABLES = TEST1 TEST3 TEST2 TEST4 TEST5 TEST6
TEST7 TO TEST9 STATUS01 STATUS02
/ANALYSIS TEST4 (LEVEL=NUME)
WITH TEST1 TO TEST2 (LEVEL=SPORD DEGREE=1 INKNOT=3) TEST5 TEST7
(LEVEL=SPNOM) TEST8 (LEVEL=ORDI) STATUS01 STATUS02 (LEVEL=NOMI)
/DISCRETIZATION = TEST1(GROUPING NCAT=5 DISTR=UNIFORM)
TEST5(GROUPING) TEST7(MULTIPLYING)
/INITIAL = RANDOM
/MAXITER = 100
/CRITITER = .000001
/MISSING = MODEIMPU
/PRINT = R COEFF DESCRIP ANOVA QUANT(TEST1 TO TEST2 STATUS01
STATUS02)
/PLOT = TRANS (TEST2 TO TEST7 TEST4)
/SAVE
/OUTFILE = ’c:\data\qdata.sav’.