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This test provides a top-down correlation analysis to determine if the same factors are important in both samples. The waves data1 and data2 contain ranks of sequential factors (shown on the left).
Factor | data1 | data2 |
A | 3 | 4 |
B | 2 | 3 |
C | 2 | 3 |
D | 1 | 2 |
E | 4 | 1 |
F | 6 | 5 |
G | 5 | 6 |
To test the relative importance of the different factors for the two groups represented by data1 and data2 execute the command:
StatsWRCorrelationTest/T=1/Q data1,data2
The results are displayed in the Weighted-Rank-Correlation Test table:
n | 7 |
rtStatistic | 0.61998 |
Critical | 0.738 |
P | 0.101389 |
The rtStatistic, also known as the top-down correlation coefficient, is smaller than the critical value and so we can't reject H0, i.e., the same factors are the most important in both groups.
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