Difference between revisions of "Back Checks"

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[[Category: Data Quality ]]

Revision as of 19:56, 26 January 2017

Back checks of a survey ...

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Purpose

Back checks are done to monitor the quality of the field work. This gives us valuable information on whether the questionnaire accurately captures the key outcomes of the study or not, and on whether the enumerators are explaining the questions as intended.

Best Practices during back checks

Here are some of the best practices that should be done while performing back checks:

  • Around 10% of the total survey should be back checked for with 20% of the back checks done in the first 2 weeks of field work.
  • Every team and every surveyor must be back checked.
  • The back check sample must include proportional number of missing and replacement respondents.
  • Households must be selected at random for back checks.

How to Select Back Check Questions

Identifying Respondents and Interview Information
- Check if we have the right person
- Check if they interview took place and when did it take place.
Type 1 Variables
-Straightforward questions where we expect little variation.
-For example - education level, marital status, occupation, has children or not, etc.
Type 2 Variables
- Questions where we expect capable enumerators to get the true answer.
Type 3 Variables
- Questions that we expect to be difficult. We back check these questions to understand if they were correctly interpreted in the field.

The total duration of the back checks should be around 10-15 minutes.

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This article is part of the topic Monitoring Data Quality

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