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Structural Equation Modeling: A Multidisciplinary Journal Volume 24, 2017 - Issue 6
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Articles

The Effect of Sampling-Time Variation on Latent Growth Curve Models

Matt L. MillerUniversity of California, DavisCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-2377-6325
ORCID Icon &
Emilio FerrerUniversity of California, Davis
Pages 831-854 | Published online: 27 Jul 2017

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José Ángel Martínez-Huertas & Emilio Ferrer. (2023) Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data. Structural Equation Modeling: A Multidisciplinary Journal 30:1, pages 105-122.
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Holly P. O’Rourke, Kimberly L. Fine, Kevin J. Grimm & David P. MacKinnon. (2022) The Importance of Time Metric Precision When Implementing Bivariate Latent Change Score Models. Multivariate Behavioral Research 57:4, pages 561-580.
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Rohit Batra, Silvia A. Bunge & Emilio Ferrer. (2022) Modeling Retest Effects in Developmental Processes Using Latent Change Score Models. Structural Equation Modeling: A Multidisciplinary Journal 29:2, pages 295-309.
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Katerina M. Marcoulides & Ke-Hai Yuan. (2020) Using Equivalence Testing to Evaluate Goodness of Fit in Multilevel Structural Equation Models. International Journal of Research & Method in Education 43:4, pages 431-443.
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Articles from other publishers (2)

Samuel N. Meisel, Whitney D. Fosco, Larry W. Hawk & Craig R. Colder. (2019) Mind the gap: A review and recommendations for statistically evaluating Dual Systems models of adolescent risk behavior. Developmental Cognitive Neuroscience 39, pages 100681.
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Joel S. Steele, Joseph E. Gonzales & Emilio Ferrer. 2018. Continuous Time Modeling in the Behavioral and Related Sciences. Continuous Time Modeling in the Behavioral and Related Sciences 135 162 .

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