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Direct linkYiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
Peer reviewedElkins, John – Australian Journal of Education, 1978
Numerical classification techniques were used to explore the conjecture that inconsistent results of many studies of disabled readers could result from samples being composed of subgroups of children with different characteristics. Some five subgroups were identified using ITPA scores from a subsample of 37 poor readers. (Author)
Descriptors: Classification, Cluster Grouping, Discriminant Analysis, Grade 1
