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Journal Article

Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis

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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von Oertzen,  Timo
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
External Organizations;

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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;

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Hertzog,  Christopher
External Organizations;
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;

External Resource

http://dx.doi.org/10.3389/fpsyg.2018.00294
(Publisher version)

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id10007697.pdf
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Citation

Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Lindenberger, U., & Hertzog, C. (2018). Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis. Frontiers in Psychology, 9: 294. doi:10.3389/fpsyg.2018.00294.


Cite as: https://hdl.handle.net/21.11116/0000-0001-537B-8
Abstract
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