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Educational Research and Evaluation
An International Journal on Theory and Practice
Volume 14, 2008 - Issue 4: Examining Individual Change: Analyzing Longitudinal Data Through Different Growth Models
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Articles

The latent curve ARMA (p, q) panel model: longitudinal data analysis in educational research and evaluation

Stephen Sivo College of Education, University of Central Florida, Orlando, FL, USACorrespondence[email protected]
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Xitao Fan Curry School of Education, University of Virginia, Charlottesville, VA, USA
Pages 363-376 | Published online: 07 Aug 2008

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Nanxi Xu & Ashley M. Groh. (2023) The significance of mothers’ attachment representations for vagal responding during interactions with infants. Attachment & Human Development 25:1, pages 50-70.
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Articles from other publishers (3)

Julian F. Lohmann, Steffen Zitzmann, Manuel C. Voelkle & Martin Hecht. (2022) A primer on continuous-time modeling in educational research: an exemplary application of a continuous-time latent curve model with structured residuals (CT-LCM-SR) to PISA Data. Large-scale Assessments in Education 10:1.
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Cherng G. Ding, Ten-Der Jane, Chiu-Hui Wu, Hang-Rung Lin & Chih-Kang Shen. (2016) A systematic approach for identifying level-1 error covariance structures in latent growth modeling. International Journal of Behavioral Development 41:3, pages 444-455.
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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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