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Sequential sum of squares.
ANOVA tables for the sequential sum of squares were used to determine which group of terms contributed significantly to the models.
Since this was an unbalanced design, we used the type I (sequential) sum of squares considering the probe effect as the first effect.
Relative intensities of metabolites detected by GC-TOF-MS were analysed separately with general linear models with sequential sum of squares (type I sums of squares).
For the two-way ANOVA, both the tissue and probe factor were treated as fixed (leading to fixed model) and options were specified to obtain sequential sum of squares.
Analysis of variance of a repeated-measures linear model was used to examine the effect of playback treatment on each response (R version 2.8.1 [42]; core 'stats' package, 'lm' function with sequential sum of squares and normal/Gaussian error, model assumptions confirmed by visual inspection of residual plots, 'anova' function to assess significance of treatment factor).
Similar(52)
DF, degrees of freedom; Seq SS, sequential sums of squares; Adj SS, adjusted sums of squares; Adj MS, adjusted mean squares.
Sequential sums of squares were used with schistosome infection intensity entered last in the model to allow for the effects of all the other variables before testing for its effects.
The possible confounding variables sex, village (categorised as before) and age (categorical; age group 1 (8–13 years), and age group 2 (14+ years)) were allowed for by using sequential sums of squares.
* P-values for the tests of the sequential sums of squares (type I tests) in females.
Due to the nested nature of the design we tested the effects of each factor with sequential sums of squares.
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