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When comparing c populations in randomized complete block designs, researchers are often interested in examining ordered treatment effects among the c groups. The c levels of the treatment are either categorically ordered, as in the treatment condition “undergraduate class designation” with levels “freshman,” “sophomore,” “junior,” and “senior,” or the c levels are numerically ordered, as in the treatment condition “drug dosage” with levels “20mg,” “25mg,” “30mg,” and “35mg.” For situations where the researcher is interested in testing specifically for monotonically increasing or monotonically decreasing treatment effects, and either collects data only in ordinal form or collects data that are either interval- or ratio-scaled but does not desire to make the stringent assumptions necessary for employing a parametric procedure, the nonparametric L test devised by Ellis B. Page in 1963 may be selected.

Development

Let xij be the observed value under the jth treatment in the ith block (where j = 1,2,…,c and i = 1,2,…,n). In each of the n independent blocks, replace the c observations by their corresponding ranks such that a rank of 1 is given to the smallest observation in the block and a rank of c is given to the largest. Thus, Rij is the rank (from 1 to c) associated with the jth treatment in the ith block.

The layout for the ranked responses from a sample of either n subjects or n blocks of matched subjects over c levels of a treatment condition are shown in Table 1.

Note that under the null hypothesis of no treatment effects, each ranking within a block is equally likely, so there are c! possible rankings within a particular block and (c!)n possible arrangements of ranks over all n blocks. The sum of the ranks within each block is c(c + 1)/2, the sum of the ranks assigned to each of the c treatment levels. If the null hypothesis were perfectly true, the sum of the ranks for each of the c treatment levels would be n(c + 1)/2. On the other hand, if the alternative hypothesis is true and there is a perfect ordering in the c rankings among all n subjects, the sum of the ranks for each of the c treatment levels would respectively be n,2n,…, cn if the treatment effects were monotonically increasing, and cn,(c − 1)n,…, n if the treatment effects were monotonically decreasing.

Table 1 Data Layout for the Page L Test
Treatments
Block 1 2 c Totals
1 R 11 R 12 R 1c c(c + 1)/2
2 R 21 R 22 R 2c c(c + 1)/2
. . . . . .
. . . . . .
. . . . . .
n R n1 R n2 R nc c(c + 1)/2
Totals R .1 R .2 R .c nc(c + 1)/2
where
c = the number of treatment levels (i.e., columns)
n = the number of blocks (i.e., rows of subjects)
Rij = the rank assigned to the jth treatment in the ith block
R.j = the sum of the ranks for treatment level j

To develop the Page test statistic L, the ranks assigned to each of the c treatment levels are totaled over all n blocks. That is, R.jni=1Rij is obtained for each of the treatments (where j = 1,2,…,c). Page's test statistic L is

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