INDEPENDENT Subcommand (NPTESTS command)
The INDEPENDENT subcommand produces independent
samples nonparametric tests. The TEST and GROUP keywords
are required, all other keywords are optional. If INDEPENDENT is
specified with none of the optional keywords, the following tests
are performed automatically:
- If the grouping field has only two values, continuous fields are tested using a Mann-Whitney test.
- If the grouping field has more than two values, continuous fields are tested using a Kruskal-Wallis test.
- If there are no continuous fields on the
TESTkeyword, no tests are performed.
TEST Keyword
The TEST keyword lists the fields that you want
to test.
- Specify one or more continuous fields. Independent samples tests are only applicable to continuous fields.
GROUP Keyword
The GROUP keyword specifies the field used to
determine groups. The test is performed using the values found in
the sample to define the groups. Note that certain tests are not applicable
when there are more than two groups. NPTESTS automatically
determines which tests are applicable. See the individual keyword
descriptions for details.
- Specify a categorical field. A grouping field that does not have nominal or ordinal measurement level will cause an error.
-
GROUPapplies to all fields that are specified on theTESTkeyword.
MANN_WHITNEY Keyword
The MANN_WHITNEY keyword produces an independent
samples test of whether two samples are from the same population.
The test statistic uses the rank of each case to test whether the
groups are drawn from the same population.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The first value in ascending order of the grouping field defines the first group and the second value defines the second. If the grouping field has more than two values, the test is not performed.
WALD_WOLFOWITZ Keyword
The WALD_WOLFOWITZ keyword produces an independent
samples test whether the distribution of a field is the same in two
independent samples. A runs test is performed with group membership
as the criterion.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The first value in ascending order of the grouping field defines the first group and the second value defines the second. If the grouping field has more than two values, the test is not performed.
KOLMOGOROV_SMIRNOV Keyword
The KOLMOGOROV_SMIRNOV keyword produces an independent
samples test of whether the distribution of a field is the same in
two independent samples that are defined by a grouping field. The
test is sensitive to any difference in median, dispersion, skewness,
and so forth, between the two distributions.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The first value in ascending order of the grouping field defines the first group and the second value defines the second. If the grouping field has more than two values, the test is not performed.
MOSES Keyword
[MOSES([TRIMOUTLIERS={SAMPLE**}])]
{integer }
The MOSES keyword produces an independent samples
test of whether the range of a continuous or ordinal field is the
same in a control group and a comparison group.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The test specifications given on the
MOSESkeyword apply to all Moses tests performed. - The first value in ascending order of the grouping field defines the control group and the second defines the comparison group. If the grouping field has more than two values, the test is not performed.
TRIMOUTLIERS= SAMPLE|integer. Records to trim from each
end of the range of the control group to remove outliers. SAMPLE trims
5% of the records from each end of the range of the control group
to remove outliers, with a minimum of 1 record removed from each end.
Specifying an integer causes that exact number of records to be trimmed. SAMPLE is
the default.
HODGES_LEHMAN Keyword
The HODGES_LEHMAN keyword produces an independent
samples estimate and confidence interval for the difference in the
medians of two groups.
- A separate confidence interval is computed for each and every
continuous and ordinal field specified on the
TESTkeyword. - The first value in ascending order of the grouping field defines the first group and the second value defines the second. If the grouping field has more than two values, the confidence interval is not produced.
KRUSKAL_WALLIS Keyword
[KRUSKAL_WALLIS([COMPARE={PAIRWISE**}])]
{STEPWISE }
{NONE }
The KRUSKAL_WALLIS keyword produces an independent
samples test of whether k independent samples that are defined
by a grouping field are from the same population.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The test specifications given on the
KRUSKAL_WALLISkeyword apply to all tests performed.
COMPARE= PAIRWISE | STEPWISE | NONE. Multiple comparisons. The COMPARE keyword
controls how and whether multiple comparisons should be performed. PAIRWISE produces
all pairwise multiple comparisons. STEPWISE produces
stepwise stepdown comparisons. NONE turns off multiple
comparisons. By default, all pairwise comparisons are produced.
MEDIAN Keyword
[MEDIAN([TESTVALUE={SAMPLE**}] [COMPARE={PAIRWISE**}])]
{value } {STEPWISE }
{NONE }
The MEDIAN keyword produces an independent samples
test of whether k independent samples are drawn from populations
with the same median.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The test specifications given on the
MEDIANkeyword apply to all tests performed.
TESTVALUE= SAMPLE|value. Median value to use in the
test. SAMPLE causes the test to be performed
using the sample median, calculated from all records that are included
in the test. Alternatively, you can specify an exact value. SAMPLE is
the default.
COMPARE= PAIRWISE| STEPWISE| NONE. Multiple comparisons. The COMPARE keyword
controls how and whether multiple comparisons should be performed. PAIRWISE produces
all pairwise multiple comparisons. STEPWISE produces
stepwise stepdown comparisons. NONE turns off multiple
comparisons. By default, all pairwise comparisons are produced.
JONCKHEERE_TERPSTRA Keyword
[JONCKHEERE_TERPSTRA(
[ORDER={ASCENDING** }] [COMPARE={PAIRWISE**}]
{DESCENDING } {STEPWISE }
{NONE }
)]
The JONCKHEERE-TERPSTRA keyword produces an independent
samples test of whether k independent samples that are defined
by a grouping field are from the same population. This test is particularly
powerful when the k populations have a natural ordering.
- A separate test is performed for each and every continuous and
ordinal field specified on the
TESTkeyword. - The test specifications given on the
JONCKHEERE_TERPSTRAkeyword apply to all tests performed.
ORDER=ASCENDING| DESCENDING. Order of the k populations.
ASCENDING specifies the alternative hypothesis that the location parameter of the
first group is less than or equal to the second, which is less than or equal to the third, and so
on. This is the default. DESCENDING specifies the alternative hypothesis that the
location parameter of the first group is greater than or equal to the second, which is greater than
or equal to the third, and so on. For both options, the alternative hypothesis also assumes that the
locations are not all equal.
COMPARE=PAIRWISE|STEPWISE|NONE. Multiple comparisons. The COMPARE keyword
controls how and whether multiple comparisons should be performed. PAIRWISE produces
all pairwise multiple comparisons. STEPWISE produces
stepwise stepdown comparisons. NONE turns off multiple
comparisons. By default, all pairwise comparisons are produced.