Search Results
Source: Structural Equation Modeling: A Multidisciplinary Journal
Resulting in 12 citations.
| 1. |
Bianconcini, Silvia Bollen, Kenneth A. |
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The Latent Variable-Autoregressive Latent Trajectory Model: A General Framework for Longitudinal Data Analysis Structural Equation Modeling: A Multidisciplinary Journal 25 (2018): 791-808. Also: https://www.tandfonline.com/doi/abs/10.1080/10705511.2018.1426467 Cohort(s): NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Modeling; Modeling, Growth Curve/Latent Trajectory Analysis; Statistical Analysis; Unions; Wages Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Bianconcini, Silvia and Kenneth A. Bollen. "The Latent Variable-Autoregressive Latent Trajectory Model: A General Framework for Longitudinal Data Analysis." Structural Equation Modeling: A Multidisciplinary Journal 25 (2018): 791-808.
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| 2. |
Carrig, Madeline Wirth, R. J. Curran, Patrick J. |
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A SAS Macro for Estimating and Visualizing Individual Growth Curves Structural Equation Modeling: An Interdisciplinary Journal 11,1 (2004); 132-149. Also: http://www.leaonline.com/doi/abs/10.1207/S15328007SEM1101_9 Cohort(s): Children of the NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Behavior Problems Index (BPI); Growth Curves; Longitudinal Data Sets; Modeling, Growth Curve/Latent Trajectory Analysis Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Carrig, Madeline, R. J. Wirth and Patrick J. Curran. "A SAS Macro for Estimating and Visualizing Individual Growth Curves." Structural Equation Modeling: An Interdisciplinary Journal 11,1 (2004); 132-149.
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| 3. |
Chung, Hwan Anthony, James C. |
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A Bayesian Approach to a Multiple-Group Latent Class-Profile Analysis: The Timing of Drinking Onset and Subsequent Drinking Behaviors Among U.S. Adolescents Structural Equation Modeling: A Multidisciplinary Journal 20,4 (2013): 658-680. Also: http://www.tandfonline.com/doi/full/10.1080/10705511.2013.824783#.UugFYxBOlpg Cohort(s): NLSY97 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Adolescent Behavior; Alcohol Use; Bayesian; Modeling, Latent Class Analysis/Latent Transition Analysis; Monte Carlo Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Chung, Hwan and James C. Anthony. "A Bayesian Approach to a Multiple-Group Latent Class-Profile Analysis: The Timing of Drinking Onset and Subsequent Drinking Behaviors Among U.S. Adolescents." Structural Equation Modeling: A Multidisciplinary Journal 20,4 (2013): 658-680.
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| 4. |
Clouth, F. J. Pauws. S. Vermunt, J. K. |
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Three-Step Latent Class Analysis with Inverse Propensity Weighting in the Presence of Differential Item Functioning Structural Equation Modeling: A Multidisciplinary Journal published online (7 February 2023): DOI: 10.1080/10705511.2022.2161384. Also: https://www.tandfonline.com/doi/full/10.1080/10705511.2022.2161384 Cohort(s): NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Alcohol Use; Drug Use; Modeling, Latent Class Analysis/Latent Transition Analysis; Propensity Scores Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Clouth, F. J., Pauws. S. and J. K. Vermunt. "Three-Step Latent Class Analysis with Inverse Propensity Weighting in the Presence of Differential Item Functioning." Structural Equation Modeling: A Multidisciplinary Journal published online (7 February 2023): DOI: 10.1080/10705511.2022.2161384.
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| 5. |
Coffman, Donna L. Millsap, Roger E. |
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Evaluating Latent Growth Curve Models Using Individual Fit Statistics Structural Equation Modeling 13,1 (2006): 1-27 Cohort(s): Children of the NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Behavior Problems Index (BPI); Modeling, Growth Curve/Latent Trajectory Analysis Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Coffman, Donna L. and Roger E. Millsap. "Evaluating Latent Growth Curve Models Using Individual Fit Statistics." Structural Equation Modeling 13,1 (2006): 1-27.
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| 6. |
Dolan, Conor V. Schmittmann, Verena D. Lubke, Gitta H. Neale, Michael C. |
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Regime Switching in the Latent Growth Curve Mixture Model Structural Equation Modeling 12,1 (2005): 94-120 Cohort(s): NLSY97 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Alcohol Use; Growth Curves; Markov chain / Markov model; Modeling, Growth Curve/Latent Trajectory Analysis; Modeling, Mixed Effects Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Dolan, Conor V., Verena D. Schmittmann, Gitta H. Lubke and Michael C. Neale. "Regime Switching in the Latent Growth Curve Mixture Model." Structural Equation Modeling 12,1 (2005): 94-120.
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| 7. |
Feng, Xiang-Nan Wu, Hai-Tian Song, Xin-Yuan |
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Bayesian Regularized Multivariate Generalized Latent Variable Models Structural Equation Modeling: A Multidisciplinary Journal 24,3 (2017): 341-358. Also: http://www.tandfonline.com/doi/full/10.1080/10705511.2016.1257353 Cohort(s): NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Bayesian; Modeling; Monte Carlo; Statistical Analysis; Substance Use Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Feng, Xiang-Nan, Hai-Tian Wu and Xin-Yuan Song. "Bayesian Regularized Multivariate Generalized Latent Variable Models." Structural Equation Modeling: A Multidisciplinary Journal 24,3 (2017): 341-358.
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| 8. |
Lanza, Stephanie T. Coffman, Donna L. Xu, Shu |
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Causal Inference in Latent Class Analysis Structural Equation Modeling: A Multidisciplinary Journal 20,3 (2013): 361-383. Also: http://www.tandfonline.com/doi/full/10.1080/10705511.2013.797816#.Ue6Vc3caUus Cohort(s): NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): College Enrollment; Modeling, Latent Class Analysis/Latent Transition Analysis; Propensity Scores; Substance Use Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Lanza, Stephanie T., Donna L. Coffman and Shu Xu. "Causal Inference in Latent Class Analysis." Structural Equation Modeling: A Multidisciplinary Journal 20,3 (2013): 361-383.
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| 9. |
Martínez-Huertas, José Ángel Ferrer, Emilio |
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Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data Structural Equation Modeling: A Multidisciplinary Journal published online (20 September 2022): DOI: 10.1080/10705511.2022.2108430. Also: https://www.tandfonline.com/doi/full/10.1080/10705511.2022.2108430 Cohort(s): Children of the NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Child Development; Cognitive Ability; Digit Span (also see Memory for Digit Span - WISC); Modeling, Mixed Effects; Modeling, Structural Equation; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Peabody Picture Vocabulary Test (PPVT) Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Martínez-Huertas, José Ángel and Emilio Ferrer. "Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data." Structural Equation Modeling: A Multidisciplinary Journal published online (20 September 2022): DOI: 10.1080/10705511.2022.2108430.
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| 10. |
Tong, Xin Zhang, Zhiyong |
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Robust Bayesian Approaches in Growth Curve Modeling: Using Student's t Distributions versus a Semiparametric Method Structural Equation Modeling: A Multidisciplinary Journal published online (11 November 2019): DOI: 10.1080/10705511.2019.1683014. Also: https://www.tandfonline.com/doi/full/10.1080/10705511.2019.1683014 Cohort(s): NLSY97 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Bayesian; Modeling, Growth Curve/Latent Trajectory Analysis; Monte Carlo; Peabody Individual Achievement Test (PIAT- Math) Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Tong, Xin and Zhiyong Zhang. "Robust Bayesian Approaches in Growth Curve Modeling: Using Student's t Distributions versus a Semiparametric Method." Structural Equation Modeling: A Multidisciplinary Journal published online (11 November 2019): DOI: 10.1080/10705511.2019.1683014.
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| 11. |
Tong, Xin Zhang, Zhiyong Yuan, Ke-Hai |
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Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data Structural Equation Modeling: A Multidisciplinary Journal 21,4 (2014): 553-565. Also: https://www.tandfonline.com/doi/full/10.1080/10705511.2014.919820 Cohort(s): NLSY97 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Missing Data/Imputation; Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Math); Statistical Analysis Permission to reprint the abstract has been denied by the publisher. |
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Bibliography Citation
Tong, Xin, Zhiyong Zhang and Ke-Hai Yuan. "Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data." Structural Equation Modeling: A Multidisciplinary Journal 21,4 (2014): 553-565.
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| 12. |
Tseng, Ming-Chi |
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Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach Structural Equation Modeling: A Multidisciplinary Journal published online (22 February 2024). Also: https://doi.org/10.1080/10705511.2023.2296862 Cohort(s): NLSY79 Publisher: Taylor & Francis Keyword(s): Cross-Lagged Panel Models (CLPMs); Residual Structural Equations Model (RSEM) This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates the newly developed dynamic panel model (DPM), general cross-lagged model (GCLM) and the random intercept auto-regressive moving average (RI-ARMA) model. Then, using a longitudinal study of self-esteem and depression, ten different CLPMs are analyzed using robust maximum likelihood estimation. In addition, the Mplus syntax is provided as a reference for researcher. This study aims to enhance empirical researcher understanding and exploration of different CLPMs by providing simplified explanations and analyses of the ten different CLPMs, thereby promoting the development of empirical constructs and topics in the context of various cross-lagged panel models. |
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Bibliography Citation
Tseng, Ming-Chi. "Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach." Structural Equation Modeling: A Multidisciplinary Journal published online (22 February 2024).
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