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We used structural equation modelling (path analysis) to describe the directed dependencies among diversity and different network variables.
We used structural equation modelling to examine associations between stress, modifiable lifestyle factors, HRQOL, and chronic illness.
We used structural equation modelling to perform a confirmatory factor analysis to examine the seven-syndrome CBCL structure.
We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha.
Unlike other studies that describe the behaviour of the physicians with the help of a theoretical psychological model [ 5, 10- 12, 34, 35], we used structural equation modelling, which provided more insight into the complex processes determining the behaviour of IPs, and changes in that behaviour when they are expected to apply guidelines in daily practice.
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We used structural equation modeling to examine these relations.
We then used structural equation modeling to estimate the genetic and nongenetic contribution to physical activity [23].
Lastly, we used structural equation modeling to test for mediation.
For statistical analysis, we used structural equation modeling to test for mediation.
The path analysis used structural equation modeling [ 24] where all 4 time-points were represented in all models tested.
Data are analysed using structural equation modelling.
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