Measuring Subgroup Preferences in Conjoint Experiments
London School of Economics and Political Science · University of Oxford
Abstract
Conjoint analysis is a common tool for studying political preferences. The method disentangles patterns in respondents’ favorability toward complex, multidimensional objects, such as candidates or policies. Most conjoints rely upon a fully randomized design to generate average marginal component effects (AMCEs). They measure the degree to which a given value of a conjoint profile feature increases, or decreases, respondents’ support for the overall profile relative to a baseline, averaging across all respondents and other features. While the AMCE has a clear causal interpretation (about the effect of features), most published conjoint analyses also use AMCEs to describe levels of favorability. This often means…
Citation impact
- FWCI
- 138.78
- Percentile
- 100%
- References
- 41
Authors
3Topics & keywords
- Respondent
- Conjoint analysis
- Interpretation (philosophy)
- Econometrics
- Statistics
- Test (biology)
- Contrast (vision)
- Subgroup analysis