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Ideally, instruments should be stored away from areas with heavy foot traffic - on a high shelf, for example.
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Ideally such instruments should allow comparison of care across studies.
Ideally these instruments can then be validated using evidence-based guidelines so discussion can focus on the results of health-related quality of life studies not the test itself.
Ideally, the instrument should be used by quality managers, in particular measurement managers.
Ideally, any instrument used for clinical diagnosis should be highly sensitive to, and specific for, the disorder of interest, as well as meeting psychometric requirements of measurement reliability (i.e., high test retest reliability).
Ideally analytical field instruments should also have characteristics that limit damage to the studied artefact.
The clustering of instruments, ideally including high powered LIDARs, offers the opportunity to resolve some of these uncertainties.
String instruments ideally need time to adjust to the temperature and humidity of the room in order to stay in tune.
Monitoring and evaluation of day-to-day field use of this instrument, ideally, in diverse settings, would lead to improvements of the instrument.
The typical methodology for examining criterion validity is concurrent validity which correlates the new scale against another instrument, ideally, a 'gold standard' [ 4].
In tests of criterion validity, the correlation between the scale and another instrument, ideally the gold standard [ 16, 22], is evaluated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com