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Direct linkLee, Katherine J.; Roberts, Gehan; Doyle, Lex W.; Anderson, Peter J.; Carlin, John B. – International Journal of Social Research Methodology, 2016
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…
Descriptors: Data Analysis, Statistical Inference, Computation, Research Problems
Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2015
A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group…
Descriptors: Undergraduate Students, Science Achievement, Physiology, Introductory Courses
