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ericluo04ericluo04/claude-academic-workflow/skills/conjoint/SKILL.md

conjoint

Skill25 starsChanged 34 days agoLicence not identifiedView on GitHub

Design, analyze, and write up conjoint experiments in both traditions: as randomized experiments identifying average marginal component effects, and as preference-measurement instruments (hierarchical Bayes partworths, WTP, choice-share simulation), with measurement-error correction, multiple-testing correction, and a claims firewall on preference talk. TRIGGER on "conjoint", "AMCE", "marginal means", "AMIE", "choice-based conjoint", "CBC", "paired profiles", "attribute randomization", "partworth", "willingness to pay from choice data", "WTP space", "hierarchical Bayes conjoint", "pAMCE", "DCE", "mixed logit", "cjbart", "vignette experiment" (fully randomized factorial vignettes only), "IRR correction", "projoint", "cjoint", "factorEx", "bayesm", "choice share simulation". Text or image profiles whose treatment components are latent inside the stimulus are out of scope: the component needs a design of its own.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 5 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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