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. 2018 Jun 19;122(6):993–1003. doi: 10.1093/aob/mcy106

Table 3.

Statistical tests for both the comparison between the sexes and the comparison among genotypes

Term Base model Δdeviance d.f. P
Comparison between the sexes Distance × sex × size Distance + sex + size + distance × sex + distance × size + sex × size 1.0756 1 0.2997
Sex × size Distance + sex + size + distance × sex + distance × size 0.2151 1 0.6428
Distance × sex Distance + sex + size + distance × size 1.0556 1 0.3042
Distance × size Distance + sex + size 1.6034 1 0.2054
Size Distance + sex 7.4035 1 0.00651
Ssex Distance + size 7.6285 1 0.005745
Distance Sex + size 5.0022 1 0.02531
Comparison among genotypes Distance × sex × size† Distance + sex + size + distance × sex + distance × size + sex × size 10.735 1 0.0011
Distance × sex Distance + sex + size + distance × size + sex × size 0.8148 1 0.3667
Distance × size Distance + sex + size + sex × size 15.188 1 <0.0001
Sex × size Distance + sex + size + distance × size 5.5102 1 0.0189

We performed a model reduction by starting with a full model containing all fixed effects and all interaction terms among the fixed effects, and removed one term at a time until we were left with the simplest model. To determine whether or not a term was significant, we computed the change in deviance (∆deviance) when we compared the statistical fit of the base model with the statistical fit of the base model and the term. If the change in deviance was significant based on a χ2 test, we left the term in. These models also included the effect of genotype and individual identification number nested within genotype as random intercepts, and the interaction between distance, genotype and individual nested within genotype as a random slope. Terms in bold are the highest order terms included in the final statistical model. If the interaction term was significant, all the main effects of that interaction term were also included. For example, in the ‘Comparison among genotypes’, the sex × size interaction is significant, so we retained the interaction term as well as sex and size by themselves.

Differences between statistical models with and without the term were significant, However, the coefficient for the term was not significantly different from 0.