Structural Dependencies in Computational Models of Cognition in Consumer Research

Computational models are important methodological tools in consumer research. Free parameters in the models allow estimation of latent traits underlying observed behavior. This research shows that in computational models applied in consumer research these parameters are often highly correlated, however, which can lead to wrong inferences on the latent traits.



Citation:

Antonia Krefeld-Schwalb, Thorsten Pachur, and Benjamin Scheibehenne (2020) ,"Structural Dependencies in Computational Models of Cognition in Consumer Research", 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: 1139-1143.

Authors

Antonia Krefeld-Schwalb, Geneva School of Economics and Management, Switzerland
Thorsten Pachur, Max Planck Institute for Human Development
Benjamin Scheibehenne, Geneva School of Economics and Management, Switzerland



Volume

NA - Advances in Consumer Research Volume 48 | 2020



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