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Multilevel Models for Causal Inference by Adonis W is a document available to read on EtoBox.
This chapter discusses causal inference using multilevel models, emphasizing the hierarchical structure of data in regression analyses. It details methods for analyzing paired designs and observational studies, including the importance of controlling for pre-treatment variables and varying treatment effects across different groups. The chapter also highlights the application of multilevel models in experimental designs, particularly in educational contexts, to improve the estimation of treatment effects.
- Author
- Adonis W
- Language
- EN