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  Identifying heterogeneity in dynamic panel models with individual parameter contribution regression

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-6031-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-EFF7-1
Genre: Journal Article

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Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression.pdf (Publisher version), 2MB
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Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression.pdf
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https://dx.doi.org/10.1080/10705511.2019.1667240 (Publisher version)
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 Creators:
Arnold, Manuel1, 2, Author           
Oberski, Daniel L.2, Author
Brandmaier, Andreas M.1, 3, Author                 
Voelkle, Manuel C.2, 3, Author                 
Affiliations:
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641              
2External Organizations, ou_persistent22              
3Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1080/10705511.2019.1667240
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Title: Structural Equation Modeling
Source Genre: Journal
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Pages: - Volume / Issue: 27 (4) Sequence Number: - Start / End Page: 613 - 628 Identifier: -