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Titlebook: New Developments in Psychometrics; Proceedings of the I H. Yanai,A. Okada,J. J. Meulman Conference proceedings 2003 Springer Japan 2003 Fac

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31#
發(fā)表于 2025-3-26 22:48:24 | 只看該作者
A Note on the Approximate Distributions of Fit Indexes for Misspecified Structural Equation ModelsTwo revised formulas are presented for the asymptotic variances of the fit indexes for misspecified structural equation models. The first formula gives a form simpler than that given by Ogasawara (2001) and the second one values closer to the simulated ones than those provided by Ogasawara (2001).
32#
發(fā)表于 2025-3-27 03:27:18 | 只看該作者
Some Cautionary Notes on Factor Loadings Estimated by Principal Component AnalysisFactor loadings are often calculated by principal component analysis. Then, the loadings calculated with . are interpreted. In the present paper, we show that this procedure is not always an appropriate method; some such numerical examples and corresponding analytical results are presented for some six-variable two-component model.
33#
發(fā)表于 2025-3-27 09:10:51 | 只看該作者
Simultaneous Mean and Covariance Structure Analysis for Two Level Structural Equation Models on EQSThis paper summarizes an internal EM type algorithm implemented in EQS software for two-level structural equation models with simultaneous mean and covariance structures. A practical example illustrates the model set for an EQS run, and gives an explanation of EQS output.
34#
發(fā)表于 2025-3-27 11:04:29 | 只看該作者
35#
發(fā)表于 2025-3-27 15:41:37 | 只看該作者
https://doi.org/10.1007/978-4-431-66996-8Factor analysis; classification; data analysis; principal component analysis; structural equation modeli
36#
發(fā)表于 2025-3-27 20:21:14 | 只看該作者
Relationships among Various Kinds of Eigenvalue and Singular Value Decompositionstional tools for dimension reduction. A variety of EVD and SVD have been developed to deal with specific kinds of dimension reduction problems. This paper explicates various relationships among those decompositions with the prospect of exploiting them in practical applications of multivariate analysis.
37#
發(fā)表于 2025-3-27 22:14:13 | 只看該作者
38#
發(fā)表于 2025-3-28 02:38:07 | 只看該作者
39#
發(fā)表于 2025-3-28 08:44:18 | 只看該作者
Vectors and Matrices in Psychometrics with Special Emphasis on Generalized Inverse and Projection Maexamples of recommended uses of vectors, the idea of covariance ratio is first introduced, which is useful in determining the weights for high school subjects taken at the university entrance examinations. Secondly, results on the range of a correlation coefficient are summarized and generalized by
40#
發(fā)表于 2025-3-28 12:42:30 | 只看該作者
Early Statistical Modelling of Latent Quantities: The History of Distance Measurement by Triangulatist absolute deviations, least squares, maximum likelihood, and robustness..Geographical maps are models of locations on Earth. Maps at a small scale rely on some map projection method and knowledge of latitude and longitude. Maps at a larger scale became to be be based on angle measurement in triang
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