?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F691%2F&rft.title=Direct+Ascription+of+Missing+Categorical+Values+in+Survey+Research+Data&rft.creator=Kolev%2C+V.&rft.creator=Noncheva%2C+V.&rft.creator=Valkov%2C+V.&rft.creator=Ilieva%2C+E.&rft.creator=Dobreva%2C+M.&rft.subject=Data+processing&rft.subject=Decision+making&rft.subject=Retail&rft.description=The+complete+datasets+are+a+prerequisite+for+sustainable+analyses%2C+robust+an-+alytics+and+unbiased+interpretation+of+results.+Missing+values+in+a+survey+occur+when+no+data+value+is+stored+for+the+variable+in+an+observation.+Missing+data+can+have+a+significant+effect+on+the+conclusions+that+can+be+drawn+from+the+data.+Direct+ascription+is+the+process+of+replacing+missing+data+with+predicted+values.+The+aim+of+this+work+is+to+describe+an+approach+to+direct+ascription+of+missing+categorical+values+in+survey+research+data+based+both+on+the+assumption+that+values+in+a+data+set+are+missing+at+random+and+on+the+implementation+of+the+correspondence+analysis.&rft.date=2014&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F691%2F1%2FDirect%2520Ascription%2520of%2520Missing%2520Categorical%2520Values%2520in%2520Survey%2520Research%2520Data.pdf&rft.identifier=++Kolev%2C+V.+and+Noncheva%2C+V.+and+Valkov%2C+V.+and+Ilieva%2C+E.+and+Dobreva%2C+M.++(2014)+Direct+Ascription+of+Missing+Categorical+Values+in+Survey+Research+Data.++%5BStudy+Group+Report%5D+++++