An alternative approach to analysis of mental states in experimental social cognition research.
Academic Article
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
Establishing the mental states that affect human behavior is a primary goal of experiments on social cognitive processes. Such mental states can be manipulated only indirectly; therefore, after delivering a manipulation, researchers attempt to verify that the mental state of interest, the representation of a mental state, was in fact changed by the manipulation and that this change caused the observed effect. The usual procedure is to examine mean differences in a measure of the mental state of interest (a manipulation check) among experimental conditions and to infer whether the manipulation was effective. We describe a procedure that strengthens the construct validity of manipulations and, hence, causal inferences in experiments that focus on mental states using analyses familiar to most researchers. This procedure employs a traditional manipulation check that assesses the relationship between manipulations and mental states but, additionally, tests the relationship between the manipulation check and dependent measure.