Data cleaning in occupational therapy research

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Describes the incidence of data processing errors in scientific studies. Gives general principles to guide data set clean-up and suggests specific techniques and strategies for preventing transcription, coding, and keystroke errors as well as for cleaning up data sets after data entry has been performed.

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