Open AccessUsing Statistics from Binary Variables to Detect Data Anomalies, Even Possibly Fraudulent Research
Author(s) -
Walter R. Schumm,
Duane W. Crawford,
Lorenza Lockett
Publication year - 2019
Publication title -
psychology research and applications
Language(s) - English
Resource type - Journals
eISSN - 2663-7022
pISSN - 2663-7014
DOI - 10.22606/pra.2019.14004
Subject(s) - binary data , binary number , computer science , feature (linguistics) , statistical hypothesis testing , data mining , binomial (polynomial) , focus (optics) , statistics , mathematics , arithmetic , philosophy , linguistics , physics , optics
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