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Unformatted text preview: e there differences between questionnaire, coding frame and data?
7. Are there undefined and so-called “wild codes”?
8. Comparison of the first counting of the data with the original documents
of the researcher.
The editing step checks for the completeness, accuracy and uniformity of
the data as created by the researcher.
Completeness: The first step of editing is to check whether there is an
answer to all the questions/variables set out in the data set. If there were
any omission, the researcher sometimes would be able to deduce the
correct answer from other related data on the same instrument. If this is
possible, the data set has to rewritten on the basis of the new information.
For example, the approximate family income can be inferred from other
Sikkim Manipal University Page No. 149 Research Methodology Unit 11 answers to probes such as occupation of family members, sources of
income, approximate spending and saving and borrowing habits of family
members’ etc. If the information is vital and has been found to be
incomplete, then the researcher can take the step of contacting the
respondent personally again and solicit the requisite data again. If none of
these steps could be resorted to the marking of the data as “missing” must
be resorted to.
Accuracy: Apart from checking for omissions, the accuracy of each
recorded answer should be checked. A random check process can be
applied to trace the errors at this step. Consistency in response can also be
checked at this step. The cross verification to a few related responses would
help in checking for consistency in responses. The reliability of the data set
would heavily depend on this step of error correction. While clear
inconsistencies should be rectified in the data sets, fact responses should
be dropped from the data sets.
Uniformity: In editing data sets, another keen lookout should be for any
lack of uniformity, in interpretation of questions and instructions by the data
recorders. For instance, the responses...
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- Spring '10