Conjoint Survey Research Library

Start with these cornerstone pages, then use the linked how-to guides for setup, fielding, analysis, validation, and replication details.

Core Topics

High-level explanations written for researchers who need a defensible workflow.

Sample data, codebook, validation summary, and R/Stata/Python scripts.

Inspect a synthetic randomized experiment, response-level data, and a reproducible known-effect sentiment test.

A practical overview of what academic researchers need from conjoint survey software.

A complete high-level workflow for designing, fielding, analyzing, and documenting a conjoint experiment.

Plain-language definitions of AMCE, ATE, reference levels, uncertainty, and long-format conjoint data.

How to choose and use survey experiment software for randomized treatments, outcomes, text responses, and documentation.

How validation reports, audit trails, codebooks, and replication bundles make survey research easier to review.