<p>The sign of the correlation is color coded (positive/negative, +/-, black/red) and arrow size is scaled by strength of the standardized path coefficients (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0193305#pone.0193305.s003" target="_blank">S1 Table</a>). Solid paths are significant (p ≤0.05) and dotted paths are non-significant.</p
<p>The ovals represent latent variables, and double-headed arrows represent correlations. Path coeff...
<p>The numbers on the arrows are standardized regression coefficients that indicate the strength and...
<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the th...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>The strength of the path coefficient is shown on the y-axis and number of observed interactions i...
<p>Numbers on pathways represent standardized effects; *.01<<i>p</i>< = 0.05, **.001<<i>p</i>< = 0.0...
<p>Blue and red lines represent significant positive and negative relationships, respectively, where...
<p>Non-significant paths are indicated by dotted arrows. The thickness of the solid arrows reflects ...
Path labels are standardised coefficients. Single-arrow lines represent regression paths, and double...
<p>Each arrow represents a direct linear causal relationship. The arcs show the correlation between ...
<p>Each line represents a direct linear causal relationship. The arcs show the correlation between t...
** p p < .001. Note: Statistically significant paths are shown as solid lines with path-coefficient ...
Coefficient estimates are shown with standard error in parentheses and P values for each path. Non-s...
<p>Width of arrows is proportional to the strength of path coefficients and numbers near arrow lines...
<p><i>Note</i>: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001. Dotted lines represent paths with s...
<p>The ovals represent latent variables, and double-headed arrows represent correlations. Path coeff...
<p>The numbers on the arrows are standardized regression coefficients that indicate the strength and...
<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the th...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>The strength of the path coefficient is shown on the y-axis and number of observed interactions i...
<p>Numbers on pathways represent standardized effects; *.01<<i>p</i>< = 0.05, **.001<<i>p</i>< = 0.0...
<p>Blue and red lines represent significant positive and negative relationships, respectively, where...
<p>Non-significant paths are indicated by dotted arrows. The thickness of the solid arrows reflects ...
Path labels are standardised coefficients. Single-arrow lines represent regression paths, and double...
<p>Each arrow represents a direct linear causal relationship. The arcs show the correlation between ...
<p>Each line represents a direct linear causal relationship. The arcs show the correlation between t...
** p p < .001. Note: Statistically significant paths are shown as solid lines with path-coefficient ...
Coefficient estimates are shown with standard error in parentheses and P values for each path. Non-s...
<p>Width of arrows is proportional to the strength of path coefficients and numbers near arrow lines...
<p><i>Note</i>: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001. Dotted lines represent paths with s...
<p>The ovals represent latent variables, and double-headed arrows represent correlations. Path coeff...
<p>The numbers on the arrows are standardized regression coefficients that indicate the strength and...
<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the th...