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iefieldkit: Commands for primary data collection and cleaning (update)

delete2023-09-22
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OA
AI
K
Kristoffer Bjärkefur *
L
Luíza Cardoso de Andrade
B
Benjamin Daniels
DOI:10.1177/1536867X231196496delete
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摘要

摘要

En 中文
Data collection and cleaning workflows implement highly repetitive but extremely important processes. In this article, we describe an update to iefieldkit, a package developed to standardize and simplify best practices for high-quality primary data collection across the World Bank's Development Impact Evaluation department. The first release of iefieldkit provided workflows to automate error checking for Open Data Kit-based survey modules, duplicate management, data cleaning, and codebook creation. This update to the package includes improved commands to document and implement data point corrections, verify the structure or contents of data using codebooks, and create replicationready data through automated variable subsetting.
Keyword:
dm0105_1
iefieldkit
iecorrect
iecodebook
primary data collection
Open Data Kit
SurveyCTO
data cleaning
survey harmonization
duplicates
codebooks

期刊

S
Stata Journal
IF:
2.4
论文数:
1.2K
被引数:
8.4K

机构

T
The World Bank
学者数:
3.0K
论文数: 3.0K
被引数: 5
U
university of chicago
学者数:
4.5W
论文数: 3.7W
被引数: 80
引用论文

引用论文

iefieldkit: Commands for primary data collection and cleaning
err2020-12-22
err3
errOAAI
errBjarkefur, Kristoffer; de Andrade, Luiza Cardoso; Daniels, Benjamin
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err收藏