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A model of knowledge-attitude with the smallest number of parameters that adequately describes the observed covariance structure was developed using the structural equation model (SEM).
These were analyzed using the structural equation modeling (SEM) approach.
The theoretical framework was tested using the Structural Equation Models.
The data were then analyzed by using the structural equation modeling (SEM).
Data were analysed using the structural equation modelling to examine the relationships among the constructs.
Using the structural equation modeling (SEM) technique, two reasonably accurate mathematical models for predicting competitiveness were developed and validated.
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We use the Structural Equation Model (SME) to understand the causal relationship among potential factors on engineering student's satisfaction on the EMI.
We used the Structural Equation Modeling (SEM) software package Amos 7.0 [16] to assess the influence of cultural diversity on social stability.
Whilst the Satorra and Saris approach is familiar to researchers who use the structural equation modelling approach, it is less well known amongst other researchers.
Then, we used the structural equation modeling (SEM) to decipher the direct and indirect effects of these factors of plants, ecosystem, climate, biogeography and continent on AMF distribution.
In this work we used the structural equation modeling (SEM) technique to examine the relation between body mass index (BMI), as a proxy for obesity, and depression using the Canadian Community Health Survey, Cycle 1.2.
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