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Transcript of MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Secondary...
MICS4 Data Processing Workshop
Multiple Indicator Cluster SurveysData Processing Workshop
Secondary Editing
REMEMBER AND 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
Secondary Editing Flow Chart
Backup Raw (unedited)Data File
Secondary Editing Listing
Backup Final (edited) Data File
Resolve Inconsistencieson paper listing
Enter Corrections into Raw Data File
DP Supervisor
DP Supervisor
Secondary Editor
DP Supervisor
DP Supervisor
Inconsistencies?
No
Yes
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• 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
Four Examples
1. Woman’s age and date of birth inconsistent
2. DPT2 and Polio 2 vaccination dates differ
3. Level and grade of education inconsistent
4. Polio 3 vaccination date before Polio 1 vaccination date
MICS4 Data Processing Workshop
Example 1: Basic Information
• The Data[DOI] WM6 = 04/2009 = 1312
[DOB] WB1 = 09/1966 = 801
[Age] WB2 = 41
• The Error Message U 1003 E Age of woman (WB2=41) and her date of birth
(DOB=09/1966) inconsistent [DOI=04/2009]
MICS4 Data Processing Workshop
Example 1: The Inconsistency
• The Inconsistency– Age
• calculated age (calcage) = 42• reported age (WB2) = 41
– Date of birth• calculated LDOB: 1312-(12*41)-11 = 809• calculated UDOB: 1312-(12*41) = 820• reported DOB (using 09/1966): 801
MICS4 Data Processing Workshop
Example 1: Resolving the Inconsistency
• Variables to Check– WM6, WB1, WB2, HL5(LN), HL6(LN), CM2, MA8, MA9
• Steps:
1.Check for data entry errors
2.If WM6M = WB1M, and WM2 = calcage - 1, leave unchanged
3.If WB1M and WB1Y valid, set WM2 = calcage
4.If WB1M invalid, set WB1Y = 9997 (inconsistent)
MICS4 Data Processing Workshop
Example 2: Basic Information
• The Data– Polio 2: IM3C = 08/08/2008– DPT 2: IM4B = 08/08/2009
• The Error MessageU 2705 M Date of Polio 2 vaccination (08/08/2008) and
date of DPT2 vaccination (08/08/2009) different
• The Inconsistency– Polio and DPT shots are often given on the
same date
MICS4 Data Processing Workshop
Example 2: Other Information
All Polio and DPT Vaccination Dates:– Polio 1: IM3P1 = 16/06/2008– Polio 2: IM3P2 = 08/08/2008– Polio 3: IM3P3 = 13/09/2008– DPT1: IM3D1 = 16/06/2008– DPT2: IM3D2 = 08/08/2009– DPT3: IM3D3 = 13/09/2008
MICS4 Data Processing Workshop
Example 2: Resolving the Inconsistency
Steps:1. Check for data entry errors
2. See if recording mistake was made on questionnaire
3. If no obvious recording mistake, leave data unchanged
4. We’re more interested in knowing whether the child was vaccinated—the exact timing of the event is less critical
MICS4 Data Processing Workshop
Example 3: Basic Information• The Data
– ED4A = 2 { secondary }– ED4B = 11
• The Error Message – U 0090 E ED1=02: Level (ED4A=2) and grade (ED4B=11) of
education inconsistent
• The Inconsistency– ED4B records grade at the current level, and
for this country (UK), the highest grade at the secondary level is 7
MICS4 Data Processing Workshop
Example 3: Other Information
• Other Variables– Current schooling: ED6 = notappl– Schooling last year: ED8 = notappl– Highest level (woman’s questionnaire):
•WB4 = 2•WB5 = 11
MICS4 Data Processing Workshop
Example 3: Resolving the Inconsistency
Steps:1. Check for data entry errors
2. Check for interviewer errors
- Does ED4B include grades passed at lower levels?
3. If available, check values of WB4 and WB5
4. If you can’t resolve inconsistency, set
ED4B = 97 (inconsistent)
MICS4 Data Processing Workshop
Example 4: Basic Information
• The Data– IM3P1 = 25/11/2008– IM3P3 = 08/01/2008
• The Error MessageU 2704 E Date of Polio 1 vaccination (25/11/2008) after
date of Polio 3 vaccination (08/01/2008)
• The Inconsistency– Polio 3 vaccination given before
Polio 1 vaccination
MICS4 Data Processing Workshop
Example 4: Other Information
All Polio and DPT Vaccination Dates:– Polio 1: IM3P1 = 25/11/2008– Polio 2: IM3P2 = 03/03/2009– Polio 3: IM3P3 = 05/01/2008– DPT1: IM3D1 = 25/11/2008– DPT2: IM3D2 = 05/02/2009– DPT3: IM3D3 = notappl/notappl/notappl
MICS4 Data Processing Workshop
Example 4: Resolving the Inconsistency
Steps:1. Check for data entry errors
2. See if recording mistake was made on questionnaire
3. If no obvious recording mistake, set day, month, and year of most inconsistent date to 97, 97 and 9997 respectively
MICS4 Data Processing Workshop
Adding an Edit
• Add logic to the data entry application
• Add message text to the message file
• Add message to the editing guidelines
MICS4 Data Processing Workshop
Defining the Editing Specifications
• Carefully review the questionnaire
• Define the edit– 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
Editing Guidelines
• For each inconsistency:– Describe the issue if the 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 explanation of resolution(s), list all related
variables that should be examined
MICS4 Data Processing Workshop
Modifying the Editing Guidelines
• Add editing guidelines for your country specific questions that were added to the MICS questionnaire
• 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
REMEMBER AND 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