Analyzing Policy Capturing Data Using Structural Equation Modeling for Within-Subject Experiments (SEMWISE)

• Published in: Organizational research methods Vol. 22; no. 3; pp. 623 - 648
• Main Authors: Weijters, Bert, Baumgartner, Hans
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.07.2019; SAGE PUBLICATIONS, INC
• Subjects: Data analysis; Empirical analysis; Error analysis; Modelling; Structural equation modeling; Utilities; Weight; policy capturing; multilevel data; within-subject experiments; structural equation modeling; conjoint analysis

We present the SEMWISE (structural equation modeling for within-subject experiments) approach for analyzing policy capturing data. Policy capturing entails estimating the weights (or utilities) of experimentally manipulated attributes in predicting a response variable of interest (e.g., the effect o...