analyze-quantitative-data SKILL.md skillA

analyze-quantitative-data from qiaomiaojoe/ai-academic-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add qiaomiaojoe/ai-academic-workflow/analyze-quantitative-data@git:20260428.41cccf2

Pins git:20260428.41cccf2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
qiaomiaojoe/ai-academic-workflow
Path
skills/analyze-quantitative-data/SKILL.md
Versions recorded
1
Latest version
git:20260428.41cccf2, committed Apr 28, 2026
Size
4,678 bytes
Repository stars
10
License
a license file GitHub does not identify

Use when analyzing quantitative social science data following Neuman's Social Research Methods Ch 12 — codebook creation, data cleaning, univariate descriptive statistics, bivariate association, multivariate analysis (elaboration paradigm + multiple regression), and inferential statistics (significance testing, Type I/II errors). Trigger on requests like "analyze this survey data", "run regression on X", "check bivariate relationship between A and B", "what does this codebook need…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Analyze Quantitative Data · Neuman Ch 12 Workflow

This skill guides users through systematic quantitative data analysis based on
**W. Lawrence Neuman, *Social Research Methods: Qualitative and Quantitative Approaches*, 7e, Chapter 12** (p.393-430).

The chapter's procedure is decomposed into 7 sequential steps, each with a
dedicated prompt template that enforces methodological rigor.

## When to invoke

Invoke this skill when the user:
- Has a survey, experiment, or numerical dataset to analyze
- Asks "how do I analyze X?" with quantitative data
- Wants to run a regression, t-test, ANOVA, chi-square
- Needs to interpret statistical output
- Is preparing a Methods or Results section for a quantitative paper

Do **not** invoke for:
- Pure data engineering / ETL (no analysis intent)
- Machine learning prediction (different methodology)
- Qualitative analysis (use `analyze-qualitative-data` instead)

## The 7-step procedure (Neuman Ch 12)

| # | Step | Prompt file | Neuman pages |
|---|------|-------------|--------------|
| 1 | **Build codebook** | `prompts/01-codebook.md` | 393-394 |
| 2 | **Clean data** (wild code + contingency) | `prompts/02-clean-data.md` | 397 |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add qiaomiaojoe/ai-academic-workflow/analyze-quantitative-data@sha256:cad4deddc3532946

The line at the top of this page pins the label git:20260428.41cccf2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_umqcvs5e4pqvgvhl.svg)](https://markdownregistry.com/a/art_umqcvs5e4pqvgvhl)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 28, 2026.

versioncommittedcommitsizeaudit
git:20260428.41cccf2 latest2026-04-28 41cccf2 4,678 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4678 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

qiaomiaojoe/ai-academic-workflow · 10 stars · license a license file GitHub does not identify · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_umqcvs5e4pqvgvhl
GET https://markdownregistry.com/api/v1/resolve?ref=qiaomiaojoe/ai-academic-workflow/analyze-quantitative-data
GET https://markdownregistry.com/api/v1/blob/cad4deddc3532946e83f684056e91180f1cd55dead735dffc90b3556b1537b73

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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