L.J. (Lennert) Groot MSc
Faculteit der Maatschappij- en Gedragswetenschappen
Programme group: Methods and statistics
Expertisegebied: meta-analytical structural equation modeling (MASEM), structural equation models
Bezoekadres
- Roetersstraat 11
- Kamernummer: 8.00
Postadres
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Postbus 15776
1001 NG Amsterdam
Contactgegevens
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Profile
Lennert Groot is a PhD candidate in the research project 'No Data Left Behind: New meta-analytic structural equation models for complex data structures'. In this project we aim to broaden the scope of research questions that can be answered through meta-analytical structural equation modeling (MASEM). In particular, I investigate the possibilities of synthesizing raw datasets, instead of summary statistics, when conducting MASEM.
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Publicaties
2025
- Groot, L. J., Kan, K. J., & Jak, S. (2025). Does Cluster-Robust Estimation Provide Within-Study Effects? A Comparison of Individual Participant Data Methods in MASEM. Structural Equation Modeling, 1-13. https://doi.org/10.1080/10705511.2025.2505995
- Rode, J. B., Remshard, M., Groot, L. J., & van der Linden, S. (2025). A meta-analytic structural equation analysis of the Gateway Belief Model: highlighting scientific consensus increases support for public action on climate change. Current Opinion in Behavioral Sciences, 63. https://doi.org/10.1016/j.cobeha.2025.101521
2024
Groot, L. J., Kan, K.-J., & Jak, S. (2024). Checking the inventory: Illustrating different methods for individual participant data meta-analytic structural equation modeling. Research synthesis methods, 15(6), 872-1247. https://doi.org/10.1002/jrsm.1735 [details]- Kan, K.-J., Psychogyiopoulos, A., Groot, L. J., de Jonge, H., & ten Hove, D. (2024). Why do bi-factor models outperform higher-order g factor models? A network perspective. Journal of Intelligence, 12(2), Article 18. https://doi.org/10.3390/jintelligence12020018 [details]
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Nevenwerkzaamheden
- Geen nevenwerkzaamheden
Groot, L. J., Kan, K.-J., & Jak, S. (2024). Checking the inventory: Illustrating different methods for individual participant data meta-analytic structural equation modeling. Research synthesis methods, 15(6), 872-1247.