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arXiv · 2107.01773

Extending Latent Basis Growth Model to Explore Joint Development in the Framework of Individual Measurement Occasions

Jin Liu
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Abstract

Longitudinal processes often pose nonlinear change patterns. Latent basis growth models (LBGMs) provide a versatile solution without requiring specific functional forms. Building on the LBGM specification for unequally-spaced waves and individual occasions proposed by Liu and Perera (2023), we extend LBGMs to multivariate longitudinal outcomes. This provides a unified approach to nonlinear, interconnected trajectories. Simulation studies demonstrate that the proposed model can provide unbiased and accurate estimates with target coverage probabilities for the parameters of interest. Real-world analyses of reading and mathematics scores demonstrates its effectiveness in analyzing joint developmental processes that vary in temporal patterns. Computational code is included.

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Jin Liu. 2021-07-05. Extending Latent Basis Growth Model to Explore Joint Development in the Framework of Individual Measurement Occasions. https://arxiv.org/abs/2107.01773

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