Estimands
3
Causal effects
Interdisciplinary guide to conjoint analysis
Introduction
1
Overview
Dealing with data
2
Clean and join data
Estimands
3
Causal effects
4
Preferences
Causal effects
5
MMs and AMCEs with OLS
6
MMs and AMCEs with frequentist multinomial regression
7
MMs and AMCEs with Bayesian multinomial logistic regression
Preferences
8
Utilities and predictions with frequentist multinomial regression
9
Utilities and predictions with Bayesian multinomial regression
Final things
1
Overview
Estimands
3
Causal effects
3
Causal effects
Marginal means (MMs) and average marginal component effects (AMCEs)
2
Clean and join data
4
Preferences