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Identifying heterogeneity in dynamic panel models with individual parameter contribution regression

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Arnold,  Manuel
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 Organizations;

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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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Voelkle,  Manuel C.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
External Organizations;

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Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling, 27(4), 613-628. doi:10.1080/10705511.2019.1667240.


Cite as: http://hdl.handle.net/21.11116/0000-0003-6031-9
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