SPSS® 12.0 Command Syntax Reference

1086 NPAR TESTS
• If more than 0.667 of the cases have value 0 for V1, BINOMIAL gives the probability of
observing that many or more values of 0 in a binomial distribution with probability 0.667.
If fewer than 0.667 of the cases are 0, the test will be of observing that many or fewer.
CHISQUARE Subcommand
Syntax
NPAR TESTS CHISQUARE=varlist [(lo,hi)] [/EXPECTED={EQUAL** }]
{f1,f2,... fn}
The CHISQUARE (alias CHI-SQUARE) one-sample test computes a chi-square statistic based on
the differences between the observed and expected frequencies of categories of a variable. By
default, equal frequencies are expected in each category. The output includes the frequency
distribution, expected frequencies, residuals, chi-square, degrees of freedom, and probability.
Operations
Example
• The minimum specification is a list of variables to be tested. Optionally, you can specify
a value range in parentheses following the variable list. You can also specify expected
proportions with the EXPECTED subcommand.
• If you use the EXPECTED subcommand to specify unequal expected frequencies, you
must specify a value greater than 0 for each observed category of the variable. The
expected frequencies are specified in ascending order of category value. You can use the
notation n*f to indicate that frequency f is expected for n consecutive categories.
• Specifying keyword EQUAL on the EXPECTED subcommand has the same effect as omitting
the EXPECTED subcommand.
• EXPECTED applies to all variables specified on the CHISQUARE subcommand. Use
multiple CHISQUARE and EXPECTED subcommands to specify different expected proportions
for variables.
• If no range is specified for the variables to be tested, a separate Chi-Square Frequency
table is produced for each variable. Each distinct value defines a category.
• If a range is specified, integer-valued categories are established for each value within the
range. Noninteger values are truncated before classification. Cases with values outside
the specified range are excluded. One combined Chi-Square Frequency table is produced
for all specified variables.
• Expected values are interpreted as proportions, not absolute values. Values are summed,
and each value is divided by the total to calculate the proportion of cases expected in the
corresponding category.
• A test statistic is calculated for each variable specified.
NPAR TESTS CHISQUARE=V1 (1,5) /EXPECTED= 12, 3*16, 18.