Identifying heterogeneity in dynamic panel models with individual parameter contribution regression

This item is discarded!Release HistoryDetailsSummary

Identifying heterogeneity in dynamic panel models with individual parameter contribution regression

Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2019). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling. doi:10.1080/10705511.2019.1667240.

Item is Discarded

Basic (Discarded)

Date of Discard: 2020-07-07

Comment: dublett zu http://hdl.handle.net/21.11116/0000-0003-6031-9

Creators:
Arnold, Manuel^{1, 2}
Oberski, Daniel L.²
Brandmaier, Andreas M.^{1, 3}
Voelkle, Manuel C.^{2, 3}

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

Dates: Date issued: 2019

Files: 0 Files

Locators: 1 Locator

version ID: item_3172595_6

Item State: Discarded

Name of Context: Publications of the MPI for Human Development, Affiliated to: Max Planck Institute for Human Development