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Important aspects are whether all items are relevant for the construct, aim, and target population and if no important items are missing (comprehensiveness) [ 14]. - Criterion validity: The extent to which scores on an instrument are an adequate reflection of a gold standard [ 8].
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However the quality of clinical data depends on the accuracy and comprehensiveness of clinicians' records and some important data are missing such as Body Mass Index and detailed descriptions of social support.
The comprehensiveness of data collection in this cohort means that the missing values were assumed to be dependent on other observed data.
This frustrating sense of missed opportunity, of mere comprehensiveness at the expense of depth, prevails over the book as a whole.
The complexity of a PRO or the lack of comprehensiveness can have an influence on response rate, the proportion of items missing, and the proportion of items requiring manual validation.
To check the comprehensiveness of the statement set, respondents were asked whether any important aspect of care was missing.
However, at the end of the interview we did ask respondents whether they felt any important aspect of care was missing from the set of statements; no additional aspects were identified, which provides an indication of the comprehensiveness of the research instrument.
In order to assess the comprehensiveness of the PDI items, the respondents were also asked whether they thought that there were any items missing in the PDI which could influence their sense of dignity during the last phase of life.
Our study found that the comprehensiveness of documentation of neonatal resuscitation and stabilization of VLBW infants varies significantly across institutions, and that many potentially important items indicative of the quality of the resuscitation were missing from the medical record.
Incoming data were checked in the Data Management and Coordinating Centre Berlin for quality and comprehensiveness by a sophisticated quality assurance system and queries were made to the study center if there was doubt about the validity of the data or if there were missing data.
= missing miss.
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CEO of Professional Science Editing for Scientists @ prosciediting.com