MEG : Megacluster Analytic Strategy for Multistage Hierarchical Grouping With Relocations and Replications  

Oleh:

McDermott, Paul A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 58 no. 4 (1998), page 677-686.
Topik: cluster; psychology; education; analysis
Fulltext: 677.pdf (716.02KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

An analytic and computer strategy is introduced and demonstrated for multi stage euclidean grouping (MEG). The procedure sequentially produces first - stages clusters for independent data blocks, second - stage, higher order clusters based on a full similarity matrix for first - stage clusters and third - stage clusters that allow case migration to relocate prior misassignments and to optimize within - cluster homogeneity. The process is facilitated by special SAS computer codes and, in addition to conventional SAS cluster output, produces special fusion statistics, plots all fusion statistics and indices of homogeneity within clusters and within profile variables. The program also reports replication rates for final clusters.

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