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Computer based utility measurement has potential advantages over interviewer-based methods: lower cost once software has been developed; elimination of interviewer variation; avoidance of transcription errors in data entry; potential to address logical errors automatically[ 22]; and increased flexibility over the time required to complete the task.
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Notably, Web-based surveys have several advantages: speed of data collection, automated data entry, and less potential for human errors, to name a few.
Researchers considering the use of self-reported weights for clinical trials should be prepared to frequently monitor weight data for potential data entry errors by participants and to verify any weights that seem improbable.
Data will be checked for omissions and outliers to identify potential data entry errors and these will be clarified with the data enterer.
Data entered by the participant using the online software program Clinical Intelligence is automatically checked for omissions and outliers to identify potential data entry errors.
This technique also eliminated interviewer variation that could occur when multiple researchers conduct face to face interviews, and also prevented potential data entry errors.
To minimize potential data entry errors by the two CDAC data entry staff, mismatches between the CDAC standard and the vendor standard were compared to the original hard copy surveys and adjudicated by a data quality control supervisor.
Although some participants were excluded based on obvious impossible answers, no other control for other potential data entry errors could be applied, and there was no data quality assurance.
Additionally, the use of gene expression data to predict critical data inputs (such as patient sex) minimizes potential for data entry errors in clinical practice.
Again, this does not tell us whether there was potential fraud in data entry by the interviewer, nor whether the interviewee was making up information.
This avoided any potential bias during data entry.
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