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Structural Equation Modeling: A Multidisciplinary Journal, Volume 11 Issue 1 2004

Ranked 1st Social Sciences, Mathematical Methods (©2009 Thomson Reuters, Journal Citation®)
ISSN: 1532-8007 (electronic) 1070-5511 (paper)
Publication Frequency: 4 issues per year
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Using an EM Covariance Matrix to Estimate Structural Equation Models With Missing Data: Choosing an Adjusted Sample Size to Improve the Accuracy of Inferences
Craig K. Enders; James L. Peugh
Pages 1 – 19
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Effects of Score Discreteness and Estimating Alternative Model Parameters on Power Estimation Methods in Structural Equation Modeling
Pui-Wa Lei; Stephen B. Dunbar
Pages 20 – 44
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A Cautionary Note on the Use of Information Fit Indexes in Covariance Structure Modeling With Means
Jelte M. Wicherts; Conor V. Dolan
Pages 45 – 50
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Determining Predictors of True HIV Status Using an Errors-in-Variables Model With Missing Data
David Rindskopf; Shiela Strauss
Pages 51 – 59
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A Monte-Carlo Study of Confirmatory Factor Analytic Tests of Measurement Equivalence/Invariance
Adam W. Meade; Gary J. Lautenschlager
Pages 60 – 72
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Analysis of Paired Comparison Data Using Mx
Rung-Ching Tsai; Tsung-Lin Wu
Pages 73 – 91
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Survey of Attitudes Toward Statistics: Factor Structure Invariance by Gender and by Administration Time
Sterling C. Hilton;  Candace Schau; Joseph A. Olsen
Pages 92 – 109
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Oral Language and Reading Success: A Structural Equation Modeling Approach
Kurt J. Beron; George Farkas
Pages 110 – 131
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A SAS Macro for Estimating and Visualizing Individual Growth Curves
Madeline M. Carrig;  R. J. Wirth; Patrick J. Curran
Pages 132 – 149
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Book review of The Elements of Statistical Learning: Data Mining, Inference and Prediction, by Trevor Hastie, Robert Tibshirani, and Jerome Friedman; and Generalizability Theory, by Robert L. Brennan
George A. Marcoulides
Pages 150 – 152
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Book review of Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications, by Debbie S. Moskowitz and Scott L. Hershberger
Lisa L. Harlow
Pages 153 – 154
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