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(2) First indications for confirming the external validity of our test instrument are provided.
Thus, to present a sound argument for the validity of our test, we highlight key findings from these investigations.
Regarding our goal of assessing the validity of our test, we can definitively say that it would have been concerning if these medical professionals performed poorly, or even in the same range as novices on our test.
Although the results reported above provide evidence of reliability and validity of our test on PCK of business and economics, we situate this work within the larger landscape of debates about whether knowledge for teaching can be developed and assessed outside of the complex classroom context.
Therefore, the reliability and validity of our test must be extrapolated to the general population besides patients in university hospitals.
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We follow the approach by Fornell and Larcker [ 62] to test the discriminant validity of our measures and test if the average variance extracted (AVE) of a latent construct must be greater than the squared correlations with other latent constructs.
Therefore, it is reasonable to apply the results of Chen et al. (2009) results in support of the validity of our modified MK test.
To test the validity of our chosen approach, we tested these alternative approaches in MCMCglmm and found that alternatives 1 and 2 sometimes lead to problems with convergence of the animal models, possibly due to power issues as the sample size for fitness was very limited.
Additionally, the validity of our method is tested by stochastic simulations.
Next, the validity of our approach is tested through the segmentation of different cardiac CT scans and the subsequent comparison of the results with manually delineated ground truth.
To demonstrate the validity of our proposal we tested our method with several models and performed a study of the neural network parameterization computing the quality of representation and also comparing results with other neural methods like growing neural gas and Kohonen maps or classical methods like Voxel Grid.
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