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Journal Article

Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications

MPS-Authors
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Brandmaier,  Andreas M.       
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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Lindenberger,  Ulman       
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

External Resource

https://doi.org/10.31234/osf.io/6dc8e
(Preprint)

https://doi.org/10.1016/j.dcn.2024.101450
(Publisher version)

https://osf.io/3g2z6/
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Fulltext (public)

1-s2.0-S1878929324001117-main.pdf
(Publisher version), 591KB

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Citation

Brandmaier, A. M., Lindenberger, U., & McCormick, E. M. (2024). Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications. Developmental Cognitive Neuroscience, 70: 101450. doi:10.1016/j.dcn.2024.101450.


Cite as: https://hdl.handle.net/21.11116/0000-000E-A498-D
Abstract
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