Utilising Recent Advancements in Techniques for the Analysis of Incomplete Multivariate Data to Improve the Data Quality Management of Current Academic Research

摘要: This paper discusses the importance of managing data quality in academic research its relation to satisfying customer. focus is on completeness objectivedimension recent advancements which have been made development methods for analysing incomplete multivariate data. An overview and comparison traditional techniques with are provided. Multiple imputation also discussed as a method data, can potentially reduce some biases occur from using techniques. Despite these analysis evidence presented shows that researchers not manage their current across variety disciplines. then provided why adopted along suggestions improve frequency use future. Source-Reference. The ideas this originated work David J. Fogarty's Ph.D. dissertation. subject area advanced corporate warehouses.