Avoiding Measurement Error Bias in Conjoint Analysis

• In Event: Optimal Experimental Designs

Brief Overview

We evaluate measurement error in conjoint analysis and provide open source software to help researchers design conjoint experiments, study the effects of measurement error, and correct for the resulting biases.

Authors

• Katherine Clayton, Stanford University

• Yusaku Horiuchi, Dartmouth College

• Aaron Kaufman, New York University Abu Dhabi

• Gary King, Harvard University

• Mayya Mikhailovna Komisarchik, University of Rochester