Intermediate

Data Quality Assurance & Field Monitoring

Detect and fix data problems during fieldwork with high-frequency checks and back-checks.

2 modules · 4 lessons · about 2 hours of guided content

About this course

Learn the quality assurance practices used by research teams: daily high-frequency checks, enumerator performance monitoring, back-checks and feedback loops.

What you'll achieve

Design a set of daily high-frequency checks
Run back-checks and compare results
Monitor enumerator performance fairly
Report and resolve issues with field teams

What you'll deliver

Certificate of completion

Prerequisites

• Experience with survey data
• Basic Excel, STATA, R or Python

Curriculum

Module 1
Checks during fieldworkCatching problems early. · 2 lessons
- High-frequency checksDuplicates, outliers, durations and consistency.35 min
- Back-checksRe-interviewing a sample to verify quality.25 min
Module 2
Acting on resultsFeedback and correction. · 2 lessons
- Enumerator dashboardsFair, useful performance indicators.30 min
- Issue logs and resolutionClosing the loop with the field.20 min

Certificate requirements

• Complete every lesson
• Hold an active enrollment

Certificates confirm completion of BDIM training. They are not an academic qualification or professional accreditation.

Request a quote

Tell us whether you are an individual learner, a group or an organization, and your preferred format. Pricing is negotiable.

Curriculum

Module 1

Checks during fieldworkCatching problems early. · 2 lessons

High-frequency checksDuplicates, outliers, durations and consistency.35 min
Back-checksRe-interviewing a sample to verify quality.25 min

Module 2

Acting on resultsFeedback and correction. · 2 lessons

Enumerator dashboardsFair, useful performance indicators.30 min
Issue logs and resolutionClosing the loop with the field.20 min

Request a quote

Tell us whether you are an individual learner, a group or an organization, and your preferred format. Pricing is negotiable.