The phrase "assessment by sampling" is correct and usable in written English.
It can be used in contexts where a method of evaluation involves selecting a subset of items or data points to draw conclusions about a larger group.
Example: "The study utilized assessment by sampling to evaluate the overall quality of the products in the inventory."
Alternatives: "evaluation through sampling" or "sampling assessment".
Few studies tried, for instance, to give a population-based assessment by sampling according to a population norm.
Data from one of our labs [ 135] and others [ 136, 137] demonstrate that is possible to maximize accuracy in outcome assessment by sampling multiple psychological perspectives on mental health problems, including those of children, parents, and teachers.
Data quality assessment by sample clustering and visualization.
The purpose of the Medical Record Review (MRR) was to obtain information regarding the care processes and types of patient/resident assessments performed by sampled facilities on select areas.
Studies involving assessment of lactate production by sampling coronary venous effluent or other methods involving wall motion abnormalities and measurement of regional myocardial blood flow with microspheres are required to establish an effect of ranolazine on metabolism during myocardial ischaemia.
Large-scale assessment data, however, are typically generated from a clustered sampling design where (within countries) schools are sampled first followed by sampling students within schools.
We believe that including comments from other team members has the potential to improve student assessment by facilitating sampling from more domains of medical student performance [ 27, 28].
Our study minimized the uncertainty around exposure assessment by using samples that were collected and analyzed in real time.
Blood glucose levels (BGLs) of diabetic participants were determined before assessment by capillary sample to ensure that subjects had a reading >4 mmol/l.
In this section, we investigate an approach to further improve performance of the models in the simulated target-prediction assessment by adding a sample of random negative molecules to the training set, labeling them all inactive.
The feasibility of simplified US B-lines was estimated by comparing the time spent with respect to comprehensive assessment by the independent samples t-test.
