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Original Articles

Sensitivity of Fit Indices to Misspecification in Growth Curve Models

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Pages 420-452 | Published online: 07 Jun 2010

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Read on this site (15)

Ihnwhi Heo, Fan Jia & Sarah Depaoli. (2024) Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data. Structural Equation Modeling: A Multidisciplinary Journal 31:3, pages 455-476.
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Sonja D. Winter & Sarah Depaoli. (2022) Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models. Structural Equation Modeling: A Multidisciplinary Journal 29:5, pages 667-686.
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Sonja D. Winter & Sarah Depaoli. (2022) Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data. Structural Equation Modeling: A Multidisciplinary Journal 29:4, pages 531-549.
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Derek M. Fay, Roy Levy & Ann C. Schulte. (2022) Model Criticism of Growth Curve Models via Posterior Predictive Model Checking. The Journal of Experimental Education 90:1, pages 191-212.
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Tiffany A. Whittaker & Jam Khojasteh. (2017) Detecting Appropriate Trajectories of Growth in Latent Growth Models: The Performance of Information-Based Criteria. The Journal of Experimental Education 85:2, pages 215-230.
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Satoshi Usami, Timothy Hayes & John J. McArdle. (2016) Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models. Structural Equation Modeling: A Multidisciplinary Journal 23:3, pages 331-342.
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Minjung Kim, Oi-Man Kwok, Myeongsun Yoon, Victor Willson & Mark H. C. Lai. (2016) Specification Search for Identifying the Correct Mean Trajectory in Polynomial Latent Growth Models. The Journal of Experimental Education 84:2, pages 307-329.
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Corinne M. Henk & Laura Castro-Schilo. (2016) Preliminary Detection of Relations Among Dynamic Processes With Two-Occasion Data. Structural Equation Modeling: A Multidisciplinary Journal 23:2, pages 180-193.
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Wei Wu & Kyle M. Lang. (2016) Proportionality Assumption in Latent Basis Curve Models: A Cautionary Note. Structural Equation Modeling: A Multidisciplinary Journal 23:1, pages 140-154.
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Mark H. C. Lai & Myeongsun Yoon. (2015) A Modified Comparative Fit Index for Factorial Invariance Studies. Structural Equation Modeling: A Multidisciplinary Journal 22:2, pages 236-248.
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Wei Wu & StephenG. West. (2013) Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R 2s and Concordance Correlation Coefficients. Structural Equation Modeling: A Multidisciplinary Journal 20:3, pages 455-478.
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Siwei Liu, MichaelJ. Rovine & Peter C. M. Molenaar. (2012) Using Fit Indexes to Select a Covariance Model for Longitudinal Data. Structural Equation Modeling: A Multidisciplinary Journal 19:4, pages 633-650.
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Luigi Lombardi & Massimiliano Pastore. (2012) Sensitivity of Fit Indices to Fake Perturbation of Ordinal Data: A Sample by Replacement Approach. Multivariate Behavioral Research 47:4, pages 519-546.
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Ling Ning & Wen Luo. (2017) Specifying Turning Point in Piecewise Growth Curve Models: Challenges and Solutions. Frontiers in Applied Mathematics and Statistics 3.
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Patrick Coulombe, James P. Selig & Harold D. Delaney. (2015) Ignoring individual differences in times of assessment in growth curve modeling. International Journal of Behavioral Development 40:1, pages 76-86.
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Cherng G. Ding & Ten-Der Jane. (2012) Using SAS PROC CALIS to fit Level-1 error covariance structures of latent growth models. Behavior Research Methods 44:3, pages 765-787.
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Yury S. Dodonov & Yulia A. Dodonova. (2012) Response time analysis in cognitive tasks with increasing difficulty. Intelligence 40:5, pages 379-394.
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