Symposium 'Causal Inference in Psychology and Applied Health Sciences'

Causal inference or drawing causal conclusions based on data is a core task in science. In order to answer causal questions, researchers need to transparently formulate the causal question of interest and discuss the assumptions under which a causal conclusion can be made. Unfortunately, the scientific literature is filled with examples in which the causal question as well as the underlying assumptions are poorly defined. There is a need to resort to more systematic approaches using an explicit causal framework. This symposium aims to introduce causal inference methods for experimental as well as non-experimental study designs to researchers from the domains of Psychology (and more broadly Social & Behavioral Sciences) and Health Sciences and to illustrate their relevance for a broad range of research questions within these domains. Audience: Researchers interested in learning about causal inference. Participants are expected to be familiar with linear and logistic regression.