In a psychological experiment the manipulation of independent variable is deliberatelyintroduced to observe its effects on the dependent variable. The cause-effect relationshipthen is infered. This article explained briefly two models of causal inferences. One modeldeveloped by Donald Campbell are more focused on design elements in ruling out threats tovalidity. On the other hand, Rubin’s model of causal inference emphasized in mathematicalprecision of the causal effects. The comparison of the two different but complementarymodels involves both randomized experiment and observational study
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
Observational studies aiming to estimate causal effects often rely on conceptual frameworks that are...
In a psychological experiment, the manipulation of the independent variable is deliberatelyintroduce...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
The manipulationist account of causation provides a conceptual analysis of cause-effect relationship...
Indirect experiments are studies in which randomized control is replaced by randomized encouragement...
Background: Causal inference based on logically consistent mathematical methods requires suitable, h...
In the daily news and the scientific literature, we are faced with conflicting claims about the effe...
I argue that psychologists interested in human causal judgment should understand and adopt a represe...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
Two competing psychological models of causal strength estimation make different predictions regardin...
Experimentation is a powerful methodology that enables scientists to empirically establish causal cl...
Color poster with text and tables.The distinction between correlation and causation is emphasized i...
Kelley's attribution theory is investigated. Subjects filled out a questionnaire that reported ...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
Observational studies aiming to estimate causal effects often rely on conceptual frameworks that are...
In a psychological experiment, the manipulation of the independent variable is deliberatelyintroduce...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
The manipulationist account of causation provides a conceptual analysis of cause-effect relationship...
Indirect experiments are studies in which randomized control is replaced by randomized encouragement...
Background: Causal inference based on logically consistent mathematical methods requires suitable, h...
In the daily news and the scientific literature, we are faced with conflicting claims about the effe...
I argue that psychologists interested in human causal judgment should understand and adopt a represe...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
Two competing psychological models of causal strength estimation make different predictions regardin...
Experimentation is a powerful methodology that enables scientists to empirically establish causal cl...
Color poster with text and tables.The distinction between correlation and causation is emphasized i...
Kelley's attribution theory is investigated. Subjects filled out a questionnaire that reported ...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
This paper reviews recent advances in the foundations of causal inference and introduces a systemati...
Observational studies aiming to estimate causal effects often rely on conceptual frameworks that are...