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The projoint package features a set of tools for producing publication-ready figures from conjoint analyses.

5.1 Load the projoint package

5.2 Estimate MMs and AMCEs.

mm   <- projoint(out1_arranged) 
amce <- projoint(out1_arranged, .estimand = "amce")

5.3 Visualize MMs and AMCEs

By default, most researchers should prefer to view the corrected estimates of either MMs or AMCEs. Researchers can, however, choose to instead visualize the uncorrected estimates, or to view both together.

plot_projoint(mm, .estimates = "uncorrected")

plot_projoint(mm, .estimates = "both")

plot_projoint(amce, .estimand = "amce")

plot_projoint(amce, .estimand = "amce", .estimates = "uncorrected")

plot_projoint(amce, .estimand = "amce", .estimates = "both")

5.4 Visualize subgroup differences

A key quantity of interest in conjoint tasks is whether estimates (MMs or AMCEs) differ across subpopulations. These subgroup comparisons are especially susceptible to IRR-induced measurement error bias.