Module 14. Data entry and cleaning

Ensuring the quality of data

Processed for data entry, examples of data entry software and management of the database

Cleaning and processing data to finalize the database for analysis

Introduction

Confidence in survey results is heavily dependent on the quality of data collection and analysis. Data quality is affected by such factors as database design, data entry, cleaning and processing. There is usually an expert subcommittee to manage and provide oversight for tasks related to data management and analysis. More information is provided in Box 8.2 of Module 8, Survey supervision and personnel and in Module 15: Data processing and analysis.

Anthropometric indices and exclusion flags

Document explaining how to calculate anthropometric indices and which exclusion flags to use

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Graph to plot anthropometric indices against reference population

Graph template that can be used to plot anthropometric indices against a reference population

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Example data dictionary

Example data dictionary that can be used as a reference when building a survey specific dictionary

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