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  A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models

Jacobucci, R., Brandmaier, A. M., & Kievit, R. A. (2019). A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models. Advances in Methods and Practices in Psychological Science, 2(1), 55-76. doi:10.1177/2515245919826527.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-5AE3-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-B749-5
Genre: Journal Article

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https://doi.org/10.1177/2515245919826527 (Publisher version)
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https://dx.doi.org/10.17605/OSF.IO/BXZJF (Preprint)
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 Creators:
Jacobucci, Ross1, Author
Brandmaier, Andreas M.2, 3, Author                 
Kievit, Rogier A.1, 3, Author
Affiliations:
1External Organizations, ou_persistent22              
2Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              
3Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, Lentzeallee 94, D-14195 Berlin, DE; Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK, ou_2205641              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1177/2515245919826527
Other: alg:id10008018
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Title: Advances in Methods and Practices in Psychological Science
Source Genre: Journal
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Pages: - Volume / Issue: 2 (1) Sequence Number: - Start / End Page: 55 - 76 Identifier: -