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Structural Equation Modeling: A Multidisciplinary Journal Volume 19, 2012 - Issue 1
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TEACHER'S CORNER

A Second-Order Conditionally Linear Mixed Effects Model With Observed and Latent Variable Covariates

Jeffrey R. Harring Department of Measurement, Statistics, and Evaluation, University of Maryland
,
Nidhi Kohli Department of Measurement, Statistics, and Evaluation, University of Maryland
,
Rebecca D. Silverman Department of Special Education, University of Maryland
&
Deborah L. Speece Department of Special Education, University of Maryland
Pages 118-136 | Published online: 23 Jan 2012

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Read on this site (2)

Daniel McNeish & Denis Dumas. (2017) Nonlinear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential. Multivariate Behavioral Research 52:1, pages 61-85.
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Nidhi Kohli & JeffreyR. Harring. (2013) Modeling Growth in Latent Variables Using a Piecewise Function. Multivariate Behavioral Research 48:3, pages 370-397.
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Articles from other publishers (5)

Jeffrey R. Harring, Marian M. Strazzeri & Shelley A. Blozis. (2020) Piecewise latent growth models: beyond modeling linear-linear processes. Behavior Research Methods 53:2, pages 593-608.
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Daniel McNeish & Tyler Matta. (2017) Differentiating between mixed-effects and latent-curve approaches to growth modeling. Behavior Research Methods 50:4, pages 1398-1414.
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Carlomagno C. Panlilio, Brenda Jones Harden & Jeffrey Harring. (2018) School readiness of maltreated preschoolers and later school achievement: The role of emotion regulation, language, and context. Child Abuse & Neglect 75, pages 82-91.
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Denis G. Dumas & Daniel M. McNeish. (2017) Dynamic Measurement Modeling: Using Nonlinear Growth Models to Estimate Student Learning Capacity. Educational Researcher 46:6, pages 284-292.
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Jeffrey R. Harring & Ari Houser. 2016. The Handbook of Cognition and Assessment. The Handbook of Cognition and Assessment 267 296 .

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