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MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control
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MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

Mar 27, 2015

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Page 1: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Multiple Indicator Cluster SurveysSurvey Design Workshop

Survey Quality Control

Page 2: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Objectives

• Identify factors affecting the accuracy and reliability of survey data

• How to prevent and correct errors

• The essential role of supervision in the field and providing feedback to the team

Page 3: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Overview of presentation

• Preparation for fieldwork• Data collection• Field supervision• Data processing

Page 4: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Overview of presentation

• Preparation for fieldwork• Data collection• Field supervision• Data processing

Page 5: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Preparation for fieldwork• Questionnaire

– Adaptation (relevant, tailored to needs)– Translation (for uniformity)– Pretest (good flow, capture relevant information)

• Sample design and size– For reliability, accuracy, feasibility

• Interviewers– Selection (systematic process, have surplus)– Training (trainers, length, practice)

Page 6: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Overview of presentation

• Preparation for fieldwork• Data collection• Field supervision• Data processing

Page 7: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Data Collection

• Logistics & discipline• Implementation of sample• Monitoring of fieldwork

Page 8: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Data Collection:

• Material & equipment (questionnaires/forms)• Transport• Accommodation• Payments to field staff• Discipline & reasonable expectations• Keep the morale of the “troops”

Logistics & discipline

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Data Collection: Implement. of sample

• Non-response: failure to obtain information for selected households, eligible women, or children

• A potentially serious bias that can be minimized

• Interviewers will need to make return visits to households (call-backs)

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MICS4 Survey Design Workshop

1. Interviewer is unable to do the selected household

2. Interviewer unable to meet eligible respondents

3. Respondent refuses to be interviewed

Types of non-response:

Data Collection: Implement. of sample

Page 11: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

1. Interviewer is unable to do the selected household. Why?

Types of non-response:

– Structure not found– Occupied structure inaccessible– Structure non-residential, vacant, or demolished

Data Collection: Implement. of sample

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MICS4 Survey Design Workshop

Data Collection: Implement. of sample

2. Interviewer unable to meet eligible respondents. Why?

Types of non-response:

– No one at home at time of call– Respondent temporarily absent Will need call-backs

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MICS4 Survey Design Workshop

Call-backs

• Interview that is not completed requires a “call-back” or follow-up visit

• Three call-backs required (different times and days)

• Supervisors and interviewers keep track using control sheets

• Requires good tracking of work to ensure that all planned interviews are completed before leaving cluster

Page 14: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

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Data Collection: Implement. of sample

3. Respondent refuses to be interviewed. What to do?

Types of non-response:

– Approach respondent from her point of view– Postponed interview to another day– Have field editor carry out the interviewThe number of refusals should be closely

monitored. Need to find out reasons for frequent refusals.

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MICS4 Survey Design Workshop

Data Collection: Monitoring field work

• Training is a continuous process

• Observation and supervision throughout the fieldwork are a part of the training

• Team supervisors and field editors play very important roles in continuing this training and in ensuring the quality of MICS4 data

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MICS4 Survey Design Workshop

Data Collection: Monitoring field work

• Fieldwork control sheets• Direct observation of interviews• Review of completed questionnaires (editing)• Spot-checking households

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MICS4 Survey Design Workshop

Fieldwork Control Sheets

• Interviewers’ work is monitored and evaluated by keeping accurate record of assignments

• Both supervisors and interviewers have control forms to maintain

• These forms should be returned to the director of field operations along with the completed questionnaires

• Interviewer is responsible for ensuring that control sheet is up-to-date

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MICS4 Survey Design Workshop

Observing Interviews, part 1

• To evaluate and improve interviewer performance

• To look for errors and misconceptions that cannot be detected through editing

• Why? Precise but inaccurate answers • Who? The supervisors or field editors (females

only for women’s questionnaire)

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Observing Interviews, part 2

• How often? 5-6 interviews per week, more at start of fieldwork

• How? Just take notes without disrupting the interview

• What to do after? Supervisors speaks to interviewers

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Editing Questionnaires in the Field

• Fundamental to survey quality

• Need to ensure:

– Accurate and complete information in each questionnaire

– Correct count of questionnaires

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Editing Questionnaires in the Field

• Done daily by field editor; supervisor can assist

• Finish all questionnaires before leaving cluster

• Provides an opportunity to identify and correct mistakes before leaving cluster

• Results and errors are discussed with interviewers

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Systematic Spot Checking

• How to spot-check household composition?– Supervisors should complete columns 2-8 in the

HH questionnaire and compare with that of the interviewer

– Check about 5% of households (5-6 per week)– All team members must be spot-checked;

provide feedback if necessary

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Evaluating Interviewers Performance

• Daily discuss the quality of interviewers work • Point out mistakes discovered during observation of

interviews or noticed during editing• Discuss examples of actual mistakes, but be careful not to

embarrass individual interviewers. • Re-read relevant sections from the Interviewer's Manual

with the team to resolve problems. • Encourage the interviewers to talk about any situations

they encountered in the field • Discuss whether situations are handled properly, and how

to do it in the future

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Overview of presentation

• Preparation for fieldwork• Data collection• Field supervision• Data processing

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MICS4 Survey Design Workshop

Field supervision• Staff from survey headquarters

– Senior staff

– Quality control team

• Purpose

– Visit teams to observe interviews, review work

– Re-visit selected clusters; spot-check households

• Very important during first few weeks of fieldwork! (Possible to start teams in one location?)

Page 26: MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.

MICS4 Survey Design Workshop

Overview of presentation

• Preparation for fieldwork• Data collection• Field supervision• Data processing

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MICS4 Survey Design Workshop

Data Processing

• Integral aspect of survey quality (DP programmes, double-entry, secondary editing)

• Problems detected in DP should be communicated back to teams (phone calls and visits)

• Field-check tables

• Observations from reviewed questionnaires

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GENERAL INSTRUCTION TO EDIT QUESTIONNAIRES

According to MICS Manual

Under no circumstances should we make up an answer