Repeated-measures analyses were conducted with the Proc Mixed module of SAS (version 9.2; SAS Institute Inc., Cary NC, USA).
To investigate possible confounders of the Stroop test probably being the more robust measure, exploratory analyses were conducted.
For each foraging measure, two analyses were conducted including red-green, blue-yellow and luminance contrasts of fruits against either the upper or the lower side of the leaf as continuous fixed factors.
To evaluate the effect of training on the primary outcome measures univariate GLM analyses were conducted with Time as the repeated factor and Condition as the within-subject variable.
Subjects were included only if they had baseline measure and at least one post-baseline measure and all analyses were conducted on an intention-to-treat basis.
The coefficient of performance, cooling capacity, evaporation temperature, and pressures and temperatures of refrigerant at the inlet and outlet were measured and parameter analyses were conducted with different charging concentrations, different temperatures of cooling water and different matches of cycle flux between high and low boiling point components under the same evaporating pressure.
ERP mean amplitudes were analysed with repeated measures ANOVAs, and separate analyses were conducted for lateral anterior, central, and posterior sites.
Age, gender and BMI were included as covariates, except for measures of adiposity where analyses were conducted with and without BMI as a covariate.
To elucidate this heterogeneity and identify trends in the measured results, multilevel regression analyses were conducted.
For this reason, a log transformation was performed for this measure, and all subsequent analyses were conducted on the transformed variable.
Reproductive success (litter size at birth and mean pup body mass at weaning [litter mass at weaning / litter size at weaning]) was measured, and genetic paternity analyses were conducted.
