"The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social sci…
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robu…
"The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social sci…
The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social scie…
"The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social sci…
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robu…
"The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social sci…