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No practical differences in attribute preferences were observed between data collection methods when attribute preferences were measured using a direct importance-rating question.
As our study was focused on the concordance between data collection methods this design was unlikely to impact our results.
These differences between data collection methods have the potential to cause information bias; again, we cannot determine the nature or possible extent of this potential bias.
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Cognitive burden, impersonality and legitimacy are a function of the interaction between data collection method and individual respondent (and subject to individual variation).
These comparative studies surely provide relevant insight into the differences between specific data collection methods for users' design feedback.
There were significant differences noted between the data collection methods for many measures.
The choice between paper data collection methods or automated electronic data collection (EDC) methods has become a key design question for clinical researchers.
The choice between paper data collection methods and electronic data collection (EDC) methods has become a key question for clinical researchers.
Medical records, interviews and self-administered questionnaires are frequently used sources of research data, thus many studies have assessed the concordance and reliability between these data collection methods.
However, there was a significant difference between the data collection methods, with an average of 0.6 (95% CI = 0.25 to 1.01) additional visits reported in patient files.
Also, we used both verbal and written responses in this survey; whether there is a difference between these two data collection methods is unknown.
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