For cholera, transmission networks are based on (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted).
Probability distributions of mobility network factors (link length and clustering coefficient) are derived from data as in (Convertino M, S L, M A, Morris S: Importance, Interaction, and Scale-dependence of Cholera Outbreak Drivers: Metamodeling Predictions, submitted).
Decomposition of the ruminative self-focus measure revealed that the success by importance interaction was significantly associated with focus on problems but not focus on feelings.
Additionally, the analyses revealed a significant main effect for difficulty (F1,125 = 77.32; p <.001) and a significant difficulty by importance interaction (F1,125 = 8.05; p <.01).
The goal success by goal importance interaction was not significantly associated with either focus on feelings (B = 0.006, SE = 0.007, ns) or focus on problems (B = –0.006, SE = 0.007, ns) when negative affect was included in the model.
Second, the goal success by goal importance interaction was significantly associated with focus on problems (B = −0.019, SE = 0.008, p<.05) but not focus on feelings (B = –0.003, SE = 0.007, ns).
When predicting negative affect, we found evidence for the hypothesised goal success by goal importance interaction: at low levels of goal success, participants experienced greater levels of negative affect when they were pursuing important goals.
This suggests the importance of interactions underlying the variability for these traits, both epistatic interactions within cycles as well as G×E interactions across cycles.
A systemic perspective recognizes both the importance of interactions between systems and the limitations of knowledge regarding those interactions.
Part of the explanation for the former's role may lie in the New Zealand study, which showed the importance of interactions between someone's upbringing and his genes.
