Currently, there exists no working operationalization available that can be used to determine the health of open source ecosystems.
For constructs that already have an established operationalization, the method can be used either to refine these measures or, should non-predictive facets not emerge, to increase confidence in them and their underlying models.
Locale scale validation and operationalization of these models can be performed using eddy covariance data [46], especially at sites where incoming and reflected photosynthetic photon flux density PPFD or absorbed PPFD is measured.
Locale scale validation and operationalization of these models can be performed using eddy covariance data [ 46], especially at sites where incoming and reflected photosynthetic photon flux density PPFD or absorbed PPFD is measured.
The case vignettes can be regarded as an operationalization of the concept of gut feelings.
In this paper, we focussed on phenotypic measurement issues that can be encountered in the gauging, operationalization, and quantification of complex phenotypes like psychological, psychiatric, and other (e.g., medical) traits.
Testing hypotheses requires operationalization; operationalization requires assumptions; and in social psychology, we argue, the necessary assumptions often already imply that the hypotheses can be confirmed.
The table is put in structural correspondence with a pivotal model (a tree), which is used to implement services requiring complex mechanisms that can be found in state-of-the-art systems, for example instantiation support or operationalization.
To determine whether the International Classification of Functioning, Disability and Health ICFF) categories relevant to spinal cord injury (SCI) can be integrated in clinical measures and to obtain insights to guide their future operationalization.
Model description and operationalization - Is the program or service well-defined, have essential elements been identified and is there a program manual that describes the program and can be used for training, fidelity monitoring, quality improvement, outcome monitoring and scale-up?
