CSConjoint Survey

Analysis, Visualization, and Exports

Interpret effects, inspect quality, edit figures, and package clean data and replication materials.

How to Import a Survey From Word

Convert a Word or text survey draft into editable Conjoint Survey questions.

AMCE / ATE と長形式データの出力

日本語のコンジョイント調査でも、投稿論文で使いやすい長形式データ、推定表、図を出力できます。

How to Run Experimental Quantitative Text Analysis

Use open-ended survey responses as quantitative outcomes after randomized stimuli.

How to Interpret VADER Sentiment Scores

Read VADER compound scores responsibly, distinguish sentiment from agreement or stance, and interpret individual responses, sample means, and experimental differences.

How to Add Pre-Treatment Questions

Collect demographics, covariates, moderators, and baseline attitudes before treatment exposure.

How to Save Reusable Questions

Store commonly used demographic or baseline questions for repeated use across projects.

How to Use Balance Tables

Check whether pre-treatment variables are similar across randomized arms.

How to Export Journal-Ready Tables

Download Word and LaTeX tables for article drafts, appendices, and reviewer materials.

How to Export LaTeX Tables

Generate LaTeX tables for conjoint estimates, survey-experiment effects, means, balance, and diagnostics.

How to Export Word Tables

Generate a Word-compatible document with common research tables.

How to Capture URL Parameters

Store IDs and metadata from Prolific, MTurk, LMS links, email links, or panels.

How to Print a Survey for IRB

Export the full respondent instrument for IRB review, coauthors, or preregistration records.

How to Preregister a Conjoint Study

Document the design, estimand, exclusions, and analysis before data collection.

How to Write Methods Text

Generate a copy-editable methods paragraph describing randomization, sample, exclusions, and estimates.

How to Generate a Reviewer Appendix

Export reviewer-facing evidence about design, randomization, exclusions, and diagnostics.

How to Create a Replication Bundle

Export data, code, tables, plots, and documentation for transparent research.

How to Create a Codebook

Document variables, randomized attributes, URL parameters, and respondent-level fields.

How to Export R and Stata Scripts

Download starter replication code for estimating conjoint effects.

How to Interpret AMCE and ATE

Understand attribute effects in conjoint results and survey-experiment treatment effects.

How Many Conjoint Tasks to Use

Choose a task count that balances statistical power and respondent fatigue.

How to Run a Randomization Audit

Check whether randomized attributes and levels are appearing as expected.

How to Run Subgroup Analysis

Use respondent-level variables to inspect whether effects differ across groups.

How to Delete Study Data

Remove a study or its data when retention rules or project needs require it.

How to Check Whether Your Survey Platform Supports Conjoint Analysis

Confirm whether a survey account can randomize profiles, preserve profile rows, and export analysis-ready conjoint data.

How to Run Conjoint on Prolific

Use a respondent URL, URL parameters, completion codes, and long-format exports for Prolific conjoint studies.

How to Export AMCE Data

Export conjoint responses in the long format needed for AMCE/ATE estimation and replication.

How to Write Conjoint Attributes and Levels

Write attribute names and levels that respondents can understand and analysts can defend.

How to Pilot a Conjoint Survey

Use a small pilot to check comprehension, timing, randomization, and export shape.

How to Review a Survey Before Launch

Run a structured pre-launch review for consent, flow, randomization, exports, and respondent experience.

How to Handle Sensitive Survey Topics

Design consent, wording, and data practices for surveys involving sensitive opinions or personal information.

How to Document Data Retention

Write a clear record of what data will be stored, exported, retained, or deleted.

How to Create a Survey Audit Trail

Keep a practical record of design, launch, fielding, exclusions, and final exports.

How to Monitor Fielding Quality

Watch completion rates, timing, duplicates, attention checks, and response patterns during data collection.

How to Prepare Clean Analysis Files

Move from raw responses to analysis CSVs, respondent files, codebooks, and scripts.

How to Explain AMCE Results to Nontechnical Readers

Translate conjoint estimates into plain language for collaborators, clients, committees, or students.

How to Handle Missing Survey Data

Decide how to treat skipped questions, incomplete responses, and missing covariates.

How to Create a Methods Appendix

Assemble a concise appendix with design details, randomization, exclusions, and analysis exports.

How to Review Privacy Before Fielding

Check respondent identifiers, URL parameters, open text, exports, and access before launch.

How to Calculate Conversion Lift

Translate treatment and reference conversion rates into absolute and relative lift without overstating the result.

How to Segment Experiment Results

Examine whether an experiment differs across customer or audience groups without turning every subgroup into a claim.

How to Test Pricing and Packaging

Use survey experiments or conjoint analysis to study reactions to prices, bundles, and feature packages.

AI-Guided Research for Conjoint Analysis

Ask questions about Conjoint Survey in plain English and get answers drawn from its documentation and guides. AI Help does not analyze or access your survey data.

How to Ask AI Methodology Questions

Ask useful questions about ATE, AMCE, clustered standard errors, interactions, restrictions, balance, and experimental design.

How to Use AI to Interpret Survey Results Responsibly

Turn estimates into careful language without overstating significance, causality, subgroup patterns, or real-world outcomes.

How to Prioritize a Product Roadmap With Conjoint Analysis

Use customer tradeoffs to inform roadmap sequencing without outsourcing strategy to a survey.

How to Estimate Preference Share From Conjoint Results

Turn conjoint utilities into scenario-based preference shares without calling them market-share forecasts.

How to Analyze Customer Segments

Create useful customer groups from needs and behavior without inventing unstable personas.