Measuring Evidence For Causal Mediation When the Mediator Is Not Directly Observed

We combine the causal identifiability of full mediation from observed variables, Bayes Factors as a measure of empirical evidence supporting full mediation, and models of measurement error into a procedure that measures evidence for mediation in the causal sense in measurement-of-mediation designs. We illustrate re-analyzing studies published in Psychological Science.



Citation:

Arash Laghaie and Thomas Otter (2020) ,"Measuring Evidence For Causal Mediation When the Mediator Is Not Directly Observed", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 299-300.

Authors

Arash Laghaie, Goethe University Frankfurt
Thomas Otter, Goethe University Frankfurt



Volume

NA - Advances in Consumer Research Volume 48 | 2020



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