Shows that the uncertainty tends to be slightly higher if the estimated influence of a particular aspect is higher.

<p>Shows that the uncertainty tends to be slightly higher if the estimated influence of a particular aspect is higher.</p

Results from the Gibbs Sampling.

<p>Note: Only aspects where effect sizes which have a >5% mean positive estimated effect on students' credits achieved are shown. The number before the First-order aspect provides a visual link to the variables in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001" target="_blank">Appendix S1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone-0103261-g005" target="_blank">Figure 5</a>.</p><p>*Highly unstable.</p

Visualization of estimated interrelationships.

<p>Black nodes are the constant nodes, blue are the First-order grouped nodes and grey are the Second-order grouped nodes, the red node is the target node for the proposed changes to institutional practice. The widths of the edges indicate the strength of the estimated links, and the colour represents positive (grey) and negative (red) relationships.</p

Three groups of critical aspects.

<p>Note: The number beside each group of aspects indicates how many aspects are measured in each grouping, and the abbreviation after indicates what those are in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001" target="_blank">Appendix S1</a>.</p><p>*See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001" target="_blank">Appendix S1</a>: item B_Ment_profile for more information.</p

Convergence of the Gibbs sampling for the estimation of the numerical changes.

<p>Convergence of the Gibbs sampling for the estimation of the numerical changes.</p

Convergence of MMST creation.

<p>Convergence of MMST creation.</p

Convergence of the Gibbs sampling for estimation of the standard deviation.

<p>Convergence of the Gibbs sampling for estimation of the standard deviation.</p

MOESM1 of Relationship of suicide rates with climate and economic variables in Europe during 2000–2012

Additional file 1. Web appendix