multiple indicator cluster surveys data processing workshop secondary editing mics data processing...
TRANSCRIPT
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Multiple Indicator Cluster SurveysData Processing Workshop
Secondary Editing
MICS Data Processing Workshop
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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.
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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
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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
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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
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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
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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]
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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
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Example 1: Resolving the Inconsistency
• Variables to Check– WM6, WB1, WB2, HL5(LN), HL6(LN), CM2, MA8, MA9
• Steps:1. Check for data entry errors2. If WM6M = WB1M, and WM2 = calcage - 1,
leave unchanged3. If WB1M and WB1Y valid, set WM2 = calcage4. If WB1M invalid, set WB1Y = 9997 (inconsistent)
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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
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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
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Example 2: Resolving the Inconsistency
Steps:1. Check for data entry errors2. See if recording mistake was made on
questionnaire3. If no obvious recording mistake, leave data
unchanged4. We’re more interested in knowing whether the
child was vaccinated—the exact timing of the event is less critical
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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
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Example 3: Other Information
• Other Variables– Current schooling: ED6 = notappl– Schooling last year: ED8 = notappl– Highest level (woman’s questionnaire):
• WB4 = 2• WB5 = 11
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Example 3: Resolving the Inconsistency
Steps:1. Check for data entry errors2. Check for interviewer errors
- Does ED4B include grades passed at lower levels?
3. If available, check values of WB4 and WB54. If you can’t resolve inconsistency, set
ED4B = 97 (inconsistent)
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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
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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
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Example 4: Resolving the Inconsistency
Steps:1. Check for data entry errors2. See if recording mistake was made on
questionnaire3. If no obvious recording mistake, set day, month,
and year of most inconsistent date to 97, 97 and 9997 respectively
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Adding an Edit
• Add logic to the data entry application• Add message text to the message file• Add message to the editing guidelines
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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?
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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
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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
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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.