Construct validity thus is a theory-driven, experimental substantiation of the behavioral, pathophysiological, and/or neuronal components of the model [ 21], i.e. it reflects the degree of fitting the theoretical rationale and of modeling the true nature of the symptoms/syndrome to be mimicked by the animal model [ 1].
The rationale of model 1 is to get a first insight into the association between forgone care and a person's income.
This chapter sets out some of the rationale, use, and characteristics of modelling across the product and process life cycle.
This chapter provides a description of ontology of fluid systems, such as power plants, that target an explicit description of the design rationales of model-based reasoning systems.
The rationale of grid model fitting is based on the assumption that the grid model outperforms models fitted by separate sub-datasets.
The rationale of the model, its relations with other modeling endeavors, and its implications are discussed.
Following the rationale of consensus models of activity landscapes, one can define consensus significant activity cliffs as cliffs deemed significant by a number of different representations.
Yet, other designers are slow to catch on to the basic rationale of using models that resemble those who influence their work.
Further, the rationale of the model structure was not established well, and the issues of data identification and assessment of uncertainty were not appropriately addressed.
The rationale of resiliency model proposed by Richardson GE [ 69] suggest that the key to protection from biopsychospiritual homeostasis disruption is how the individual negotiates with life events or stressors.
The rationale of the model is that for instance predisposing (social) factors determine awareness and a person's attitude, social influence and efficacy, which in turn affect a person's intention (motivation) to carry out certain behavior.
