Iefieldkit: commands for primary data collection and cleaning

• Autores: Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels
• Localización: The Stata journal, ISSN 1536-867X, Vol. 20, Nº. 4, 2020, págs. 892-915
• Idioma: inglés
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• Resumen

  • Data collection and cleaning workflows implement highly repetitive but extremely important processes. In this article, we introduce iefieldkit, a package developed to standardize and simplify best practices for high-quality primary data collection across the World Bank’s Development Research Group Impact Evaluations department. iefieldkit automates error-checking for electronic Open Data Kit-based survey modules such as those implemented in SurveyCTO; duplicate checking and resolution; data cleaning, including renaming, labeling, recoding, and survey harmonization; and codebook creation.