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SEM examines how each measured variable contributes to each latent variable (the measurement model) and how the latent variables relate to one another (the structural model).
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State-space modeling indicated that most of the measured variables contributed to the prediction of landscape-scale variation for grain yield in the pea wheat rotation; whereas only leaf and root disease incidences explained landscape-scale variation in the wheat wheat rotation.
Measured variable.
z = measured variable.
Resting heart rate provides an easily measured variable to demonstrate these principles.
Learning or adaptation effects might have occurred between subjects and might have contributed to the bias in the overall performance of the measured variables.
Number of measured variables.
In many studies, environmental variables were observed (measured) variables.
In general the measured metabolic variables contributed to better explain constitutive vigour traits (as observed in well watered plants) than vigour response traits.
VIMs are measures of the amount of information a variable contributed to the classification throughout the forest.
PLS regression coefficients for the variables showed the extent each X variable contributed to Y.
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