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AMOS 22.0 structural equation modeling (SEM) was used to clarify the extent of relationships between variables.
Structural equation modeling clarifies the extent of relationships between variables as well as the chain of cause and effect.
The SEM is a powerful statistical method that quantifies and clarifies the extent of relationships between variables.
According to Chang and Chang [ 88, 89], SEM clarifies the extent of relationships between variables as well as the chain of cause and effect.
Although genomics has the potential to provide more representative estimates of evolutionary potential than have been previously feasible, the nature and extent of relationships between genome-wide diversity, fitness and population viability needs to be established (Allendorf et al. 2010).
2. Structural equation modeling (SEM): According to Chang and Chang [ 56] and Joreskog and Sorbom [ 57], structural equation modeling clarifies the extent of relationships between variables as well as the chain of cause and effect.
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We employed simple linear regression to analyse the extent of linear relationships between continuous variables.
The nature and extent of financial relationships between industry and surgeons are hard to track.
The SEM clarified the extent of the relationships between the variables as well as the chain of cause and effect.
Additionally, in some designs an increase in sample size may also increase the extent of genetic relationships between subjects in the training and validation data sets.
Our results also show that the nature and extent of the relationships between resilient well-being and disaster readiness are more complex and heterogeneous than previously acknowledged.
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