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When significant main test effects were discerned, pairwise tests were conducted to determine which factors were responsible for significance.
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Data were analyzed according to a randomized complete block design with a factorial arrangement of treatments; the main tested effects were PS, EnzD, and their interaction.
Samples were analyzed accordingly to a completely randomized design and the main tested effect of model was mPS (n = 11, from 0.46 to 3.50 mm mPS for Cm or n = 10, from 0.11 to 2.98 mm mPS for Bm).
Because a significant interaction between treatment assignment and initial weight loss was found, a major assumption underlying the main effect test of treatment effect in the primary analysis model was not met, and the test on the main effect term is interpreted with caution.
In our main experiment we tested effects of single bacterial strains on the six plant species.
The power of the main effect test for treatment was examined.
Significant interactions with treatment were analyzed with simple main effect test followed by Fisher LSD where indicated.
SNPs in the MRPS30 region of chromosome 5p12 have a higher ranking overall with the combined versus the main effect test.
Hierarchical multiple regression analyses were performed to detect the main effects of testing effect and interaction effects with test anxiety as the moderator variable.
In case of significant interactions, simple main effect tests were performed; that is, the effects of one factor holding the level of the other factors fixed.
A GLMM model was used as before but the main effect tested was location (IA-I versus IA-II).
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CEO of Professional Science Editing for Scientists @ prosciediting.com