#statstab #454 {Projoint} The One-Stop Conjoint Shop
Thoughts: Conjoint analyses will be the future for many (once they figure out what they are)
#conjointanalysis #rstats #r #groupanalysis
https://yhoriuchi.github.io/projoint/index.html
Conjoint Analysis with Reliability Correction and Visualization
Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
#statstab #379 {projoint} is a general-purpose R package for conjoint analysis
Thoughts: "produces more reliable estimates of the quantities of interest". Allow multiple causal estimates
#conjointanalysis #conjoint #mesurement #error #mesurementerror #R
https://github.com/yhoriuchi/projoint
GitHub - yhoriuchi/projoint: A package for a more general, more straightforward, and more creative conjoint analysis
A package for a more general, more straightforward, and more creative conjoint analysis - yhoriuchi/projoint
At
#WWU Muenster, we are searching two postdocs (100%, 3 years) working together with us in our
#Horizon2020 project INCITE-DEM. It is about
#democracy,
#participation,
#sustainability,
#conjointanalysis,
#transferofscience and other interesting things. More infos here:
https://go.wwu.de/p8d2j or just contact me directly. Deadline: 31 December 2022!
Wissenschaftliche Mitarbeiter
Stellenausschreibungen der Universität Münster
Dr Mircea Zloteanu 🌺🌞🍃
Bernd Schlipphak