Sentence examples for modelling to test from inspiring English sources

We adopt structural equation modelling to test the relationships based on data collected from 604 Chinese manufacturers.

Based on replicated presence sign surveys conducted in autumn (November December 2013) and winter (February March 2014) in a farmland landscape, we used occupancy-detection modelling to test the effects of vegetation, sampling effort, observer experience, and rainfall on detection probability.

In our dataset, occasions (Level 1) were nested within days (Level 2) and within persons (Level 3), so we used hierarchical linear modelling to test our hypotheses without violating independence assumptions.

Results of modelling to test for measurement invariance of global cognitive measures showed that the less restrictive model demonstrated a good fit to the data (chi2 = 512.944, df = 34, CFI = 0.980, TLI = 0.968, RMSEA = 0.080).

A recent example of using dynamic causal modelling to test hypotheses based upon predictive coding architectures can be found in Brown and Friston (2012).

There is also a clear need for better theoretical and experimental modelling to test the possible mechanisms through which various factors may have an impact on incidence, clinical presentation, or both.

Lastly, we used structural equation modeling to test for mediation.

Data were analyzed using covariance modeling to test the fit of the hypothesized model.

For statistical analysis, we used structural equation modeling to test for mediation.

We performed hierarchical logistic regression modeling to test the 9 hypotheses outlined previously.

For this reason, this study chose structural equation modeling to test hypotheses.