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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/7350
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dc.contributor.authorTenko Raykov-
dc.date.accessioned2024-02-27T06:08:03Z-
dc.date.available2024-02-27T06:08:03Z-
dc.date.issued2000-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/7350-
dc.description.abstractBy giving counterexamples where the covariance matrix provides crucial information about consequential model misspecifications, this article cautions researchers about overinterpreting Rogosa and Willett's (1985, p. 104) conclusion that "the covariance matrix is a severe summary of the longitudinal data, one that may discard crucial information about growth."-
dc.publisherStructural Equation Modeling-
dc.titleOn Sensitivity of Structural Equation Modeling to Latent Relation Misspecifications-
dc.volVol 7-
dc.issuedNo 4-
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