APS
2024 APS Annual Convention
Methodological Innovations in Multilevel Modeling
Multilevel modeling is increasingly used in psychology research with nested data. This symposium brings together four state-of-the-art developments in multilevel modeling: addressing cross-classification, reporting standards, accelerated longitudinal designs, and sample size planning for multilevel models. These talks address common issues encountered by researchers implementing multilevel models in complex designs.
Chairs & Discussants
- Amanda MontoyaChair
University of California, Los Angeles
Presentations
- Methods to Avoid Conflation of Level-Specific Effects in Cross-Classified Multilevel ModelsYingchi Guo
- Reconsidering Reporting Standards for Multilevel Modeling in PsychologyJoao Guassi Moreira
- Detecting Cohort Effects in Accelerated Longitudinal Designs Using Multilevel ModelsSimran Johal
- Sample Size Planning for Complex Multilevel ModelsStefany Mena
