Publication date
September 2017
DOIAbstract
<p>The structural model with measurement model 1. Grey circles are latent variables, purple circles are disturbances, with yellow boxes being measured variables.</p
<p>The structural model with measurement model 1. Grey circles are latent variables, purple circles are disturbances, with yellow boxes being measured variables.</p
<p>Grey box shows the original versions of the models. Modifications made in the current study are s...
<p>Shown are the observable variables (rectangles), generative object and illumination components (r...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Latent variables (i.e., ecosystem properties or services) are denoted by ellipses, while manifest...
Structural equation modeling (SEM) is one of the most widely used statistical techniques for delinea...
<p>Shown is a directed, acyclic graph (DAG) representing the SEM. The arrows indicate dependencies b...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>Thin lines stand for effects included in all models, thick lines for relationships that varied wi...
<p>The schematic shows how the structural parameters , , , , and were measured from SEM images.</p
Linear structural equation models (SEMs) are widely used in sociology, econometrics, biology, and ot...
<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the th...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complet...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
Structural Equation Models (SEM) - also called Simultaneous Equation Models - are used to describe r...
<p>Grey box shows the original versions of the models. Modifications made in the current study are s...
<p>Shown are the observable variables (rectangles), generative object and illumination components (r...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Latent variables (i.e., ecosystem properties or services) are denoted by ellipses, while manifest...
Structural equation modeling (SEM) is one of the most widely used statistical techniques for delinea...
<p>Shown is a directed, acyclic graph (DAG) representing the SEM. The arrows indicate dependencies b...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>Thin lines stand for effects included in all models, thick lines for relationships that varied wi...
<p>The schematic shows how the structural parameters , , , , and were measured from SEM images.</p
Linear structural equation models (SEMs) are widely used in sociology, econometrics, biology, and ot...
<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the th...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complet...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
Structural Equation Models (SEM) - also called Simultaneous Equation Models - are used to describe r...
<p>Grey box shows the original versions of the models. Modifications made in the current study are s...
<p>Shown are the observable variables (rectangles), generative object and illumination components (r...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
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