pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
CRDC — biennial OCR survey of all U.S. public schools (2011-2021). Discipline, course access, harassment, restraint/seclusion by race/sex/disability/EL. Use for civil rights and equity analysis. 2020-21 COVID-impacted; 2011-14 sampled, not universe.
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-crdc --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/education-data-source-crdcContext preview
The summary Claude sees to decide when to auto-load this skill.
CRDC — biennial OCR survey of all U.S. public schools (2011-2021). Discipline, course access, harassment, restraint/seclusion by race/sex/disability/EL. Use for civil rights and equity analysis. 2020-21 COVID-impacted; 2011-14 sampled, not universe.
name: education-data-source-crdc description: >- CRDC — biennial OCR survey of all U.S. public schools (2011-2021). Discipline, course access, harassment, restraint/seclusion by race/sex/disability/EL. Use for civil rights and equity analysis. 2020-21 COVID-impacted; 2011-14 sampled, not universe. metadata: audience: any-agent domain: data-source skill-authored: "2026-02-09" skill-last-updated: "2026-02-09"
Civil Rights Data Collection (CRDC) — mandatory biennial OCR survey of all U.S. public schools measuring educational opportunity and civil rights compliance (2011-2021). Use when analyzing school discipline disparities by race/disability, course access equity, harassment, restraint/seclusion, or chronic absenteeism. Data disaggregated by race, sex, disability, and English learner status. Note: 2020-21 is COVID-impacted and not directly comparable to other years; 2011-14 are sampled, not universe.
The Civil Rights Data Collection is a mandatory biennial survey of all U.S. public schools measuring educational opportunity and civil rights compliance. It is the only national source for school-level discipline disparities, course access equity, harassment, and restraint/seclusion data disaggregated by race, sex, disability, and English learner status.
> **CRITICAL: Value Encoding** > > The Education Data Portal uses **integer codes**, not the string codes shown in OCR documentation. Always filter using integers. > > | Variable | String Code (Raw) | Portal Integer | > |----------|-------------------|----------------| > | Race: White | `WH` | `1` | > | Race: Black | `BL` | `2` | > | Race: Hispanic | `HI` | `3` | > | Sex: Male | `M` | `1` | > | Sex: Female | `F` | `2` | > > See `./references/variable-definitions.md` for complete encoding tables.
The Civil Rights Data Collection is a **mandatory biennial survey** of all public schools and districts that measures educational opportunity and civil rights compliance:
| File | Purpose | When to Read | |------|---------|--------------| | `civil-rights-context.md` | Legal framework (Title VI, IX, Section 504, IDEA) | Understanding why data is collected | | `data-elements.md` | All data categories and what's collected | Planning analysis, identifying variables | | `collection-methodology.md` | Sampling, universe, timeline, reporting | Understanding coverage limitations | | `variable-definitions.md` | Key variables, codes, disaggregation categories | Coding data, interpreting values | | `data-quality.md` | Known issues, suppression, state variations | Addressing limitations in analysis | | `historical-changes.md` | Evolution across collection years | Time series analysis, year comparison |
Research topic?
├─ School discipline
│ ├─ Suspensions (ISS/OSS) → ./references/data-elements.md#discipline
│ ├─ Expulsions → ./references/data-elements.md#discipline
│ ├─ Referrals to law enforcement → ./references/data-elements.md#discipline
│ ├─ School-related arrests → ./references/data-elements.md#discipline
│ └─ Preschool suspensions → ./references/data-elements.md#discipline
├─ Restraint and seclusion
│ └─ Physical restraint, mechanical, seclusion → ./references/data-elements.md#restraint-seclusion
├─ Harassment and bullying
│ ├─ Allegations by type → ./references/data-elements.md#harassment
│ └─ Disciplined for harassment → ./references/data-elements.md#harassment
├─ Course access and enrollment
│ ├─ AP/IB courses → ./references/data-elements.md#advanced-courses
│ ├─ Gifted/talented → ./references/data-elements.md#gifted-talented
│ ├─ Math/science courses → ./references/data-elements.md#course-access
│ └─ Computer science → ./references/data-elements.md#course-access
├─ Chronic absenteeism
│ └─ Students missing 15+ days → ./references/data-elements.md#chronic-absenteeism
├─ Special populations
│ ├─ Students with disabilities (IDEA) → ./references/data-elements.md#students-with-disabilities
│ ├─ English learners → ./references/data-elements.md#english-learners
│ └─ Preschool enrollment → ./references/data-elements.md#preschool
├─ School staffing
│ ├─ Teacher experience/certification → ./references/data-elements.md#staffing
│ └─ Counselors, nurses, etc. → ./references/data-elements.md#staffing
└─ School safety
└─ Offenses, violence, weapons → ./references/data-elements.md#school-offensesCivil rights law question? ├─ Race/ethnicity discrimination → ./references/civil-rights-context.md#title-vi ├─ Sex/gender discrimination → ./references/civil-rights-context.md#title-ix ├─ Disability discrimination → ./references/civil-rights-context.md#section-504 ├─ Special education services → ./references/civil-rights-context.md#idea ├─ Age discrimination → ./references/civil-rights-context.md#age-discrimination-act └─ OCR enforcement process → ./references/civil-rights-context.md#ocr-enforcement
Data quality issue? ├─ Missing or suppressed data → ./references/data-quality.md#suppression ├─ Definition inconsistencies → ./references/data-quality.md#definition-variation ├─ Year-to-year comparability → ./references/historical-changes.md ├─ COVID-19 impact (2020-21) → ./references/d
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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