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Structural Equation Modeling: A Multidisciplinary Journal
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Volume 29, Issue 4

Structural Equation Modeling: A Multidisciplinary Journal

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Structural Equation Modeling: A Multidisciplinary Journal, Volume 29, Issue 4 (2022)

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Structural Equation Modeling: A Multidisciplinary Journal, Volume 29, Issue 4 (2022)

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Research Articles

Article

R-squared Measures for Multilevel Mixture Models with Random Effects

Sonya K. Sterba & Jason D. Rights

Pages: 489-506

Published online: 15 Feb 2022

465 Views
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Article

Selection of Loss Function in Covariance Structure Analysis: Case of the Spherical Model

Kazuhiko Hayakawa & Qi Sun

Pages: 507-520

Published online: 11 Feb 2022

151 Views
1 CrossRef citations
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Article

Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging

Daniel Schulze, Benedikt Reuter & Steffi Pohl

Pages: 521-530

Published online: 14 Feb 2022

AbstractforMeasurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging | Full Text | References | PDF (1 MB) | EPUB

408 Views
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Article

Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data

Sonja D. Winter & Sarah Depaoli

Pages: 531-549

Published online: 12 Jan 2022

AbstractforPerformance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data | Full Text | References | PDF (4.8 MB) | EPUB

680 Views
2 CrossRef citations
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Article

Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling

Mingcai Zhang & Lihong Yang

Pages: 550-568

Published online: 31 Mar 2022

AbstractforDetecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling | Full Text | References | PDF (3 MB) | EPUB

352 Views
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Article

Assessing the Relative Importance of Predictors in Latent Regression Models

Xin Gu

Pages: 569-583

Published online: 07 Apr 2022

AbstractforAssessing the Relative Importance of Predictors in Latent Regression Models | Full Text | References | PDF (1.4 MB) | EPUB

580 Views
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Article

Estimating and Testing Random Intercept Multilevel Structural Equation Models with Model Implied Instrumental Variables

Michael L. Giordano, Kenneth A. Bollen & Shaobo Jin

Pages: 584-599

Published online: 08 Apr 2022

394 Views
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Article

A Monte Carlo Confidence Interval Method for Testing Measurement Invariance

Hui Li & Hongyun Liu

Pages: 600-610

Published online: 21 Mar 2022

529 Views
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Article

A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis

Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt & Christian M. Ringle

Pages: 611-619

Published online: 19 Apr 2022

AbstractforA Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis | Full Text | References | PDF (1.6 MB) | EPUB

575 Views
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Teacher’s Corner

Article

Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance

Mark H. C. Lai & Yichi Zhang

Pages: 620-629

Published online: 05 Jan 2022

AbstractforClassification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance | Full Text | References | PDF (1.2 MB) | EPUB

1317 Views
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Open Access

Article

Pere J. Ferrando, Ana Hernandez-Dorado & Urbano Lorenzo-Seva

Pages: 630-638

Published online: 12 Jan 2022

AbstractforDetecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures | Full Text | References | PDF (786.5 KB) | EPUB

5055 Views
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Open Access

Article

How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous

Terrence D. Jorgensen & Andrew R. Johnson

Pages: 639-650

Published online: 26 Jan 2022

AbstractforHow to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous | Full Text | References | PDF (1.9 MB) | EPUB

2044 Views
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Open Access

Review

Book Review

Review of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide

(2nd ed.). by Kandauda A. S. Wickrama, Tae Kyoung Lee, Catherine Walker O’Neal, & Frederic O. Lorenz. New York, NY: Routledge, 2022, 326pp. $200.00 (Hardback), ISBN: 9780367746209. $62.95 (Paperback), ISBN: 9780367711269. $56.65 (eBook), ISBN: 9781003158769

Jam Khojasteh

Pages: 651-653

Published online: 18 Mar 2022

First Page PreviewforReview of Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide | Full Text | References | PDF (261.1 KB) | EPUB

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Structural Equation Modeling: A Multidisciplinary Journal (Vol.29, Iss.4, 2022)

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