CSConjoint Survey
Compare/AMCE and ATE Conjoint Analysis

AMCE and ATE Outputs for Conjoint Studies

Conjoint Survey gives researchers immediate effect tables and plots while preserving analysis-ready exports for publication workflows. The in-app estimates are meant for fast inspection, diagnostics, and reporting support; the long-format CSV and replication scripts support deeper analysis.

Best For

  • Researchers who want to inspect conjoint effects immediately after fielding.
  • Projects that need profile-level long data and respondent-clustered analysis downstream.
  • Studies where reviewers will ask how randomization, exclusions, and estimands were handled.

What You Can Do

ATE/AMCE-style estimate tableConfidence intervals, standard errors, p-values, and editable plot exportsLong-format CSV with respondent fields repeated across profile rowsR/Stata-oriented replication exportsMethods text describing randomization, estimand, sample size, and exclusions

Why Researchers Choose It

Readable estimates

Researchers can quickly see which levels increase or decrease choice probability.

Replication ready

Exports are designed so the final model can be run outside the app using standard statistical software.

Validated workflow

Known-effects simulations check that the app recovers positive, negative, and null effects under controlled synthetic data.

Research Workflow Fit

NeedConjoint Survey Approach
BuildQuestionnaire, survey experiment, conjoint, and no-conjoint modes in one app.
FieldShareable URLs, respondent/session IDs, URL parameter capture, completion handling, and duplicate checks.
CheckStudy Review, design guardrails, randomization audit, balance tables, and validation artifacts.
AnalyzeATE/AMCE-style estimates, treatment-effect tables, text metrics, plots, and model-ready CSV exports.
DocumentIRB packet, preregistration text, methods text, codebook, replication bundle, and reviewer appendix exports.

Questions Researchers Ask

Is the conjoint data respondent-level or profile-level?

The primary conjoint analysis export is profile-level long data, with respondent-level variables repeated across profile rows.

Can I use subgroup interactions?

Yes. The app includes subgroup and interaction export support, and the long-format file is suitable for custom models.

Can I cite the validation report?

Yes. The validation page provides a working-paper citation and downloadable PDF.

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