Statistical Formula for the Paired Preference Test

The paired preference element is usually specified as a row element to compare two rows for each column independently. However, you can specify it as a column element to compare two columns for each row independently. The following information assumes specification as a row.

The following table shows the formulae used for conducting the paired preference test in IBM® SPSS® Data Collection Survey Reporter.

NotationDescription
woSum of the weights for the column.
wo2 Sum of the squared weights for the column.
eo = (wo)2 / wo2Effective base for the column.
ciSum of the weights for the cell in the ithrow.
cjSum of the weights for the cell in the jth row.
pi = ci/woColumn proportion in the ithrow.
pj = cj/woColumn proportion in the jthrow.

Test Statistic

Under the null hypothesis Ho : pi = pj

the paired preference test statistic is calculated using the following expression:

The test is undefined if pi = pj = 0 or if eo < 2.

P values

p values are computed using the t distribution with eo -1 degrees of freedom.

References

Kish, L (1965), Survey Sampling, New York: John Wiley and Sons. ISBN 0-471-48900-X.

Topics on the Paired Preference Test