Structural Equation Modeling: A Multidisciplinary Journal, Volume 23, Issue 4 (2016)

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Structural Equation Modeling: A Multidisciplinary Journal, Volume 23, Issue 4 (2016)

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Articles

Article
Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach
Gitta H. Lubke & Ian Campbell
Pages: 479-490
Published online: 07 Apr 2016
AbstractforInference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach | Full Text | References | PDF (157.3 KB)
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Article
Assessing Model Similarity in Structural Equation Modeling
Keke Lai, Samuel B. Green, Roy Levy, Ray E. Reichenberg, Yuning Xu, Marilyn S. Thompson, Nedim Yel, Natalie D. Eggum-Wilkens, Katie L. Kunze & Masumi Iida
Pages: 491-506
Published online: 08 Apr 2016
AbstractforAssessing Model Similarity in Structural Equation Modeling | Full Text | References | PDF (307.7 KB)
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Article
Impact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models
Thierno M. O. Diallo, Alexandre J. S. Morin & HuiZhong Lu
Pages: 507-531
Published online: 09 May 2016
AbstractforImpact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models | Full Text | References | PDF (267.2 KB)
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Article
Test Reliability at the Individual Level
Yueqin Hu, John R. Nesselroade, Monica K. Erbacher, Steven M. Boker, S. Alexandra Burt, Pamela K. Keel, Michael C. Neale, Cheryl L. Sisk & Kelly Klump
Pages: 532-543
Published online: 07 Apr 2016
AbstractforTest Reliability at the Individual Level | Full Text | References | PDF (298.2 KB)
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Article
Maximal Criterion Validity and Scale Criterion Validity: A Latent Variable Modeling Approach for Examining Their Difference
Tenko Raykov, Siegfried Gabler & Dimiter M. Dimitrov
Pages: 544-554
Published online: 28 Apr 2016
AbstractforMaximal Criterion Validity and Scale Criterion Validity: A Latent Variable Modeling Approach for Examining Their Difference | Full Text | References | PDF (144.9 KB)
  • 428 Views
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Article
Regularized Structural Equation Modeling
Ross Jacobucci, Kevin J. Grimm & John J. McArdle
Pages: 555-566
Published online: 12 Apr 2016
AbstractforRegularized Structural Equation Modeling | Full Text | References | PDF (550.8 KB)
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Article
Comparisons of Three Empirical Methods for Partial Factorial Invariance: Forward, Backward, and Factor-Ratio Tests
Eunju Jung & Myeongsun Yoon
Pages: 567-584
Published online: 16 Mar 2016
AbstractforComparisons of Three Empirical Methods for Partial Factorial Invariance: Forward, Backward, and Factor-Ratio Tests | Full Text | References | PDF (906.6 KB)
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Article
Evaluating the Selection of Normal-Theory Weight Matrices in the Satorra–Bentler Correction of Chi-Square and Standard Errors
Yan Xia, Yiu-Fai Yung & Wei Zhang
Pages: 585-594
Published online: 16 Mar 2016
AbstractforEvaluating the Selection of Normal-Theory Weight Matrices in the Satorra–Bentler Correction of Chi-Square and Standard Errors | Full Text | References | PDF (155.1 KB)
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Article
Examining Normality in Incomplete Data Sets: A Note on a Multiple Testing Approach
Tenko Raykov, Chun-Lung Lee & George A. Marcoulides
Pages: 595-600
Published online: 17 Mar 2015
AbstractforExamining Normality in Incomplete Data Sets: A Note on a Multiple Testing Approach | Full Text | References | PDF (110.2 KB)
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Teacher’s Corner

Modeling Predictors of Latent Classes in Regression Mixture Models
Minjung Kim, Jeroen Vermunt, Zsuzsa Bakk, Thomas Jaki & M. Lee Van Horn
Pages: 601-614
Published online: 21 Apr 2016
AbstractforModeling Predictors of Latent Classes in Regression Mixture Models | Full Text | References | PDF (224 KB)
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A Note on the Use of Mixture Models for Individual Prediction
Veronica T. Cole & Daniel J. Bauer
Pages: 615-631
Published online: 09 May 2016
AbstractforA Note on the Use of Mixture Models for Individual Prediction | Full Text | References | PDF (554.6 KB)
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Book Review

Book Review
Review of Growth Curve Modeling: Theory and Applications, by Michael J. Panik
Hoboken, NJ: Wiley, 2014, 454 pp., $134 (hardcover), $107.99 (e-book).
Nathan B. Smith & Shelley A. Blozis
Pages: 632-633
Published online: 16 Mar 2016
CitationforReview of Growth Curve Modeling: Theory and Applications, by Michael J. Panik | Full Text | PDF (56.9 KB)
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