conjoint-cleaning
Clean and reshape Qualtrics conjoint exports to analysis-ready long format.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill conjoint-cleaning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Conjoint Data Cleaning Expert ## Instructions ### 1. Qualtrics Export Settings and Metadata **Export format:** When exporting from Qualtrics, select **"Use choice text"** (not "Use numeric values") so that attribute levels appear as human-readable labels. If working with non-Latin scripts (Chinese, Korean, Arabic), export as XLSX rather than CSV to avoid UTF-8/ANSI encoding issues. On Windows with East Asian locales, `read.csv()` may still require `Sys.setlocale()` to match the file encoding before import (see `?cjoint::read.qualtrics` East Asian Language Support). **Metadata rows:** Current Qualtrics CSV exports include **3 header rows** before respondent data: (1) variable identifiers, (2) question text/descriptions, (3) ImportId JSON. Legacy exports have 2 rows. The `cjoint::read.qualtrics()` parameter `new.format = TRUE` (set explicitly; default is `FALSE`) handles the 3-row format. For manual import via `readxl::read_excel()` or `readr::read_csv()`, skip the appropriate number of metadata rows after reading headers. **Randomization order columns:** If "Export viewing order data" is enabled, Qualtrics adds `_DO_` columns (e.g., `Block1_DO`) containing pipe-separated integers
- Instructions
- 1. Qualtrics Export Settings and Metadata
- 2. Qualtrics Conjoint Implementation Methods
- 3. Existing R Packages for Conjoint Data Import
- 4. Manual Wide-to-Long Reshaping
- 5. Choice Variable Mapping
- 6. Ratings and Secondary DVs
- 7. Attribute-Level Translation and Factor Ordering
- 8. Pilot and Data Quality Diagnostics
- 9. Subgroup Variables
- 10. Output Format and Package Compatibility
- Quality Checks
What does the conjoint-cleaning skill do?
Clean and reshape Qualtrics conjoint exports to analysis-ready long format.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill conjoint-cleaning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.