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For the different scenarios and TMOs that were evaluated, the statistically significant difference is given by their main effect that was F 5.86,245.95)=2.13 (p<0.05) and F(2.93,245.95)=20.98 (p>0.05), respectively.
The only main effect that was not significant (p <.50) was that of time order.
There were two significant regression coefficients; one was a main effect that was opposite hypothesis 1 (B = .73; P = .02).02
Thus the multienvironment model contains a main effect that is common across environments and environment-specific effects that allow for departures from the common effect.
The Wald chi-square statistic was used to determine the probability value for each main effect that remained in the reduced model (significance was considered as p < 0.05).
The interaction represents the modulation of functional connectivity (identified in the task main effect) that is dependent on performing the task in a particular stimulus modality.
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Main effect In addition to the three-way interaction, there are three main effects that can be observed for each of the three factors.
It is the interaction between the various components of the mixed collector system, rather than the individual main effects, that dominate the performance benefits.
In the next section, we briefly discuss the main effects that can be expected from ALMPs according to relevant theories, and introduce the main methods used in the available evaluation studies.
A backward elimination was performed starting with all covariates as main effects; subsequently the interactions were tested only for those main effects that were significant.
Post hoc t-tests were performed for significant main effects that warranted further exploration of comparisons of interest with Bonferroni corrections (α-level of p≤0.05) applied.
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