Relying on multiple documents to answer questions is becoming common for both academic and personal inquiry tasks. These tasks often require students to explain phenomena by taking various causal factors that are mentioned separately in different documents and integrating them into a coherent multi-causal explanation of some phenomena. However,…

Correlational research has shown that experiencing personal relative deprivation is negatively related to adolescents' psychological health and school engagement. Two studies are designed to experimentally test the causal effect of personal versus collective relative deprivation in the classroom context on adolescents' self-esteem and school…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…