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On using an optimal weight matrix in covariance structure analysis
Shu-fai Cheung; Wai Chan
2000-09
Source PublicationBulletin of the Hong Kong Statistical Society
Volume23Issue:2Pages:14-20
Abstract

Covariance structure analysis (CSA) has been widely used in social and behavioral sciences. Although it is technically sophisticated, its basic idea is indeed very general. Suppose we have a set of p variables and the covariance matrix of these p variables, Σ, is hypothesized as a function of a smaller number of more basic parameters, θ. The basic task in CSA is (1) to estimate the structural parameters θ, and (2) to evaluate the goodness of fit of the hypothesized model, Σ= Σ (θ ).

Language英语
PublisherHong Kong Statistical Society Limited
Fulltext Access
Document TypeJournal article
CollectionDEPARTMENT OF PSYCHOLOGY
AffiliationDepartment of Psychology The Chinese University of Hong Kong
Recommended Citation
GB/T 7714
Shu-fai Cheung,Wai Chan. On using an optimal weight matrix in covariance structure analysis[J]. Bulletin of the Hong Kong Statistical Society,2000,23(2):14-20.
APA Shu-fai Cheung,&Wai Chan.(2000).On using an optimal weight matrix in covariance structure analysis.Bulletin of the Hong Kong Statistical Society,23(2),14-20.
MLA Shu-fai Cheung,et al."On using an optimal weight matrix in covariance structure analysis".Bulletin of the Hong Kong Statistical Society 23.2(2000):14-20.
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