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Of importance, there was also a significant interaction between condition and study type (F(2) = 11.58, p < .001, ( {eta}_p^2=.05 )).
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Analysis of variance (ANOVA) contrasting activity in the II and IR conditions across ROIs revealed no significant interaction between condition and ROI at study (F 2,24 =0.24, P=0.78) or at test (F 3,36)= 0.69, P = 0.57).
The huge variability within and between exposure conditions and studies is even higher in experiments in which the phone is not fixed in a predefined position, but has to be held with one hand to one ear by the study participants during exposure (e.g. [ 29, 34, 47, 57]).
Several measures were used to investigate differences between conditions and student populations in both studies.
Likewise, final net ethanol concentrations (~ 0.41 or 0.35 g/L for control/treatment fermentations, respectively) were similar between conditions and in keeping with prior studies [ 44, 45].
Thus, for the following sets of experiments, Eno2-ΔGR/EGFP mice were maintained in doxycycline-free conditions and studied between five and six months of age, which corresponds to the optimal period of transgene activation.
As predicted, an interaction between drug condition and number of study presentations (Experiment 1; N = 18) was observed such that participants exhibited decreased false recognition rates for twice- vs. once-presented lists in the placebo condition but increased false recognition rates for twice- vs. once-presented lists in the triazolam condition.
Detailed description of the difference between conditions within study is provided in Rodriguez-Zas et al. [ 19].
A two-factor repeated measures ANOVA revealed a significant main effect of knowledge domain (F [3.5, 206.6]=15.67, P<0.001, MSknowledge domain=12.30, Greenhouse Geisser correction applied) and a significant interaction effect between knowledge domain and study condition (F [3.19, 187.89]=12.22, P<0.001, MSinteraction=12.91).
A significant interaction between study condition and steady-relationship change, and a non-significant effect between study condition and sexual risk behaviour was found.
Importantly, dropout percentages did not differ significantly between conditions, although a study comprising a larger sample size and therefore higher statistical power is necessary to provide conclusive evidence on this issue.
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