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Using a proteomics approach, we have used data collected from animal models to drive evaluation and validation in human protein samples collected using minimally invasive techniques.
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I have long argued that value-added might become reliable enough to complement or supplement human observations, but that it never should be used to drive evaluations.
Theory-driven evaluation requires additional training or thorough briefings to modify the evaluator's point of view from an exclusively results-driven focus (i.e. as needed in effectiveness evaluations) to a process-oriented focus that is needed for theory-driven evaluation.
Task-driven evaluation.
This is where the Autonomous Driving Evaluation Methodology and Scenarios (ADEMAS) project underlying this study comes into play.
Interventions: Driving evaluation; comprehensive driver's training (muscle strengthening, transfer training, adjustment of equipment, on-road training); and questionnaire (car-driving status, employment, participation in sports).
Theory-driven evaluation is essentially method-neutral.
The concept of programme theory is central to theory-driven evaluation, an approach developed by Chen and Rossi [ 60, 61].
Theory-driven evaluation somehow disappeared from the radar during the 1990s, emerging again at the European Conference of Evaluation in 2002 [ 16].
Theory-driven evaluation would not provide an added value compared to result-based (outcome/impact) evaluations if the change model would be left unchecked.
Despite growing use of simulated modalities and positive evaluations, relatively few simulation studies have used a theoretically driven evaluation within which intended outcomes can be framed.
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