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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/14849

Title: On the Measurement of Concordance Among Variables and Its Application
Authors: Lian, Ie-Bin;Young, Wen-Chin
Contributors: 數學系
Keywords: Cluster analysis of variables;Restricted canonical correlation;Reatricted principal component
Date: 2001
Issue Date: 2012-12-10T02:29:17Z
Publisher: American Educational Research Association; American Statistical Association
Abstract: In educational testing problems, some natural restriction on the coefficients may arise in maximizing the correlation or variance of linear combinations of sets of variables. In this article, two statistics based on restricted principal component and restricted canonical correlation (Das & Sen, 1994) are proposed to measure the intra- and inter-group concordance of variables. We also propose using these statistics as criteria for clustering variables. The analysis of encyclopedia data is provided as an illustration.
Relation: Journal of Educational and Behavioral Statistics, 26(4): 431-442
Appears in Collections:[數學系] 期刊論文

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