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Reporting the Use of Multiple Imputation for Missing Data in Higher Education Research

Bibliographic Data

ID23322697
AuthorsCatherine A Manly (0000-0001-8472-2315, University of Massachusetts Amherst, corresponding author), Ryan S Wells (0000-0002-6265-825X, University of Massachusetts Amherst)
Year2015
Volume56
Issue4
Pages397-409
Publication date2015-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueResearch in Higher Education (JOURNAL)
Journal identifiersISSN: 1573-188X • E-ISSN: 0361-0365
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11162-014-9344-9
OpenAlexW2094895169
LanguageEN
Citations received64
References cited32

Data collection · Data mining · Data quality · Data science · Higher education · Imputation (statistics) · Machine learning · Missing data · Political science · Statistics · Computer Science · Engineering · Mathematics · Statistical Methods and Bayesian Inference · Survey Methodology and Nonresponse · Survey Sampling and Estimation Techniques

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Unique citing works64
Citations per year7,11
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 61

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