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ss.div.

is analogous to the replication of a table of effects: it is the divisor used in calculating the estimated values of the contrasts. This is useful mainly where there is a range of e.s.e.’s for a table of contrasts: the contrasts with the smallest values of the ss.div. are those with the largest e.s.e., and vice versa. The ss.div. of each estimated contrast is the sum of squares of the values of the orthogonal polynomial (or other contrast) used to calculate it, weighted according to the replication (or weighted replication in a weighted analysis of variance).

Updated on December 4, 2017

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