multiple indicator cluster surveys data processing workshop
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Multiple Indicator Cluster Surveys Data Processing Workshop. Data Entry Editing. REMEMBER TO REMIND YOUR FIELD STAFF:. - PowerPoint PPT PresentationTRANSCRIPT
MICS4 Data Processing Workshop
Multiple Indicator Cluster SurveysData Processing Workshop
Data Entry Editing
REMEMBER TO REMIND YOUR FIELD STAFF:
• The best place to correct data is in the field where the respondent is available to resolve inconsistencies. Once the questionnaires reach the office, the best you can do is to apply carefully specified editing guidelines consistently and carefully.
MICS4 Data Processing Workshop
Timing of Editing
• Before data entry– Interviewer– Field editor– Office editor
• During data entry– Data entry operator (with training and
supervision)
• After data entry– Secondary editor
MICS4 Data Processing Workshop
General Rules for Resolving Inconsistencies
• Review all pertinent responses in the questionnaire(s)– For skips, check responses preceding and following
• Refer to the editing guidelines• Do not make up an answer; if necessary, use the
codes for inconsistent (7, 97, 997) or missing (9, 99, 999)
• Change the fewest pieces of information• If unable to resolve, leave the inconsistency without
correction and document the inconsistency for users
MICS4 Data Processing Workshop
Data Editing Philosophy• Field Editing
– Interviewer or field editor• Using field editing manual, can be fully (almost) corrected
• Office Editing - Use editing guidelines– Office editor
• ID and structure errors only– DE personnel
• Check for data entry errors; resolve only structural inconsistencies
– Secondary editor• Investigate and resolve (sometimes by taking no action) all
inconsistencies
MICS4 Data Processing Workshop
Defining the Editing Specifications
• Carefully review the questionnaire
• Define the edits– What is the possible inconsistency?– How should the inconsistency be handled
during data entry?– How should the inconsistency be handled
during secondary editing?
MICS4 Data Processing Workshop
A Simple Example
The number of eligible women (HH12) can’t be larger than the number of household members (HH11)
Q1. Should we check for this inconsistency during data entry?
Q2. Should it be resolved during data entry?
Q3. What should the editing guidelines say?
MICS4 Data Processing Workshop
How Do We Handle the Inconsistency?
A1. Yes, we should check:PROC HH12
if HH12 > HH11 then
errmsg(0015);
reenter
endif;
A2. Yes, it must be resolved; both variables structurally important
– HH11 controls entries in household listing– HH12 controls number of women’s
questionnairesMICS4 Data Processing Workshop
How is the Inconsistency Resolved?A3. Editing guidelines should have the data entry
operator:– check for data entry errors, correcting any
that are found– if no data entry error is found, then:
• count number of household members in household listing
• count number of eligible women in household listing• ensure all women questionnaires belong to the HH• correct HH11 and/or HH12 based on counts
MICS4 Data Processing Workshop
A Complex Example
A woman’s age (WB2) and date of birth (WB1M and WB1Y) must be consistent
Q1. Should we check for this inconsistency during data entry?
Q2. Should it be resolved during data entry?
Q3. What should the editing guidelines say?
MICS4 Data Processing Workshop
How Do We Handle the Inconsistency?
A1. Yes, we should check
A2. No, inconsistency should not be resolved by the data entry operators
– while age and DOB are both critically important, this inconsistency is too complex and time consuming for data entry
A3. Correct keying errors only– This inconsistency will be resolved during
secondary editing
MICS4 Data Processing Workshop
Contents of the Editing Guidelines
• Message number, type, and text
• An explanation of the problem
• Suggestions for method(s) of correction or recommendation to make no changes
MICS4 Data Processing Workshop
Error Message Numbers
• Error message numbers have 4 positions– 1st position: questionnaire type
0 = HH, 1 = WM, 2 = Child, 3 = MN, 9=Used by all
– 2nd position: modulesequential order of module inside questionnaire type
– 3-4th positions: unique ID within questionnaire type and module
• Some exceptions to the rules
MICS4 Data Processing Workshop
Types of Error Message
Unusual cases; may need correcting
Secondary editing
M
Probably needs correctionData entry and Secondary editing
E
Check for keying errorsData entryW
Should be correctedData entryD
StatusTimingCode
MICS4 Data Processing Workshop
Editing Guidelines
• For each inconsistency:– explain its nature if error message doesn’t
make it clear– explain how to handle the inconsistency
during data entry (if applicable)– explain how to handle the inconsistency
during secondary editing (if applicable)– in resolution explanations, list all related
variables that should be examined
MICS4 Data Processing Workshop
Modifying the Editing Guidelines
• For all country-specific questions that were added to the MICS questionnaire, add editing guidelines
• Modify the standard guidelines only after careful consideration by subject specialists
• Document any changes to the standard guidelines
• Ensure that all processing staff use the manual and apply it consistently
MICS4 Data Processing Workshop
Adding an Edit
• Add logic to the data entry application (.app)
• Add message text to the message file (.mgf)
• Add message to the editing guidelines (.doc)
MICS4 Data Processing Workshop
REMEMBER TO REMIND YOUR FIELD STAFF:
• The best place to correct data is in the field where the respondent is available to resolve inconsistencies. Once the questionnaires reach the office, the best you can do is to apply carefully specified editing guidelines consistently and carefully.
MICS4 Data Processing Workshop