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edu-analysis

Analyze education research data in R with a recorded run for every analysis - descriptives and reliability, t tests, ANOVA and nonparametric tests…

Skill by owo1009-lll

IndexedNOASSERTION★ 10
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/owo1009-lll-edu-analysis

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze education research data in R with a recorded run for every analysis - descriptives and reliability, t tests, ANOVA and nonparametric tests, chi-square, correlation, hierarchical and logistic regression, moderation and bootstrap mediation, EFA/CFA with CR/AVE/HTMT and common-method-bias checks, CB-SEM, PLS-SEM, fsQCA, NCA, multilevel and longitudinal models; latent profile/class analysis and IRT, propensity score matching, difference-in-differences and regression discontinuity, meta-analysis, ordinal/multinomial/count regression, Bayes factors, cluster and social network analysis, lag sequential and sequence analysis of learning logs, and structural topic models. Use for 问卷数据分析、量表信效度、描述统计、差异检验、t检验、方差分析、非参数检验、卡方检验、相关分析、回归分析、Logistic回归、调节效应、中介效应、结构方程、SEM、PLS-SEM、验证性因子分析、共同方法偏差、fsQCA、组态分析、NCA、必要条件分析、多层线性模型、纵向数据、准实验数据分析、潜在剖面分析、潜在类别分析、IRT、Rasch、倾向得分匹配、双重差分、断点回归、元分析、有序Logistic、多项Logistic、计数模型、贝叶斯因子、聚类分析、社会网络分析、滞后序列分析、学习日志、主题模型.

Use cases: data, research

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/edu-analysis

What's inside

Skill name
edu-analysis
Description
Analyze education research data in R with a recorded run for every analysis - descriptives and reliability, t tests, ANOVA and nonparametric tests, chi-square, correlation, hierarchical and logistic regression, moderation and bootstrap mediation, EFA/CFA with CR/AVE/HTMT and common-method-bias checks, CB-SEM, PLS-SEM, fsQCA, NCA, multilevel and longitudinal models; latent profile/class analysis and IRT, propensity score matching, difference-in-differences and regression discontinuity, meta-analysis, ordinal/multinomial/count regression, Bayes factors, cluster and social network analysis, lag sequential and sequence analysis of learning logs, and structural topic models. Use for 问卷数据分析、量表信效度、描述统计、差异检验、t检验、方差分析、非参数检验、卡方检验、相关分析、回归分析、Logistic回归、调节效应、中介效应、结构方程、SEM、PLS-SEM、验证性因子分析、共同方法偏差、fsQCA、组态分析、NCA、必要条件分析、多层线性模型、纵向数据、准实验数据分析、潜在剖面分析、潜在类别分析、IRT、Rasch、倾向得分匹配、双重差分、断点回归、元分析、有序Logistic、多项Logistic、计数模型、贝叶斯因子、聚类分析、社会网络分析、滞后序列分析、学习日志、主题模型.
License
NOASSERTION
Instructions
27 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (48)

  • README.md
  • README_EN.md
  • SKILL.md
  • openai.yaml · agents/
  • advanced-analysis.md · references/
  • analysis-contract.md · references/
  • method-selection.md · references/
  • bayesian.md · references/methods/
  • categorical.md · references/methods/
  • causal-inference.md · references/methods/
  • cluster.md · references/methods/
  • correlation-regression.md · references/methods/
  • fsqca.md · references/methods/
  • glm-extensions.md · references/methods/
  • group-differences.md · references/methods/
  • irt.md · references/methods/
  • latent-profile.md · references/methods/
  • learning-logs.md · references/methods/
  • measurement.md · references/methods/
  • meta-analysis.md · references/methods/
  • moderation-mediation.md · references/methods/
  • multilevel-longitudinal.md · references/methods/
  • nca.md · references/methods/
  • network.md · references/methods/
  • pls-sem.md · references/methods/
  • sem.md · references/methods/
  • topic-model.md · references/methods/
  • path-extensions.md · references/
  • reporting.md · references/
  • advanced.R · scripts/
  • analyze.R · scripts/
  • edu_methods.R · scripts/
  • edu_methods_causal.R · scripts/
  • edu_methods_latent.R · scripts/
  • edu_methods_models.R · scripts/
  • edu_methods_patterns.R · scripts/
  • run_advanced.py · scripts/
  • run_analysis.py · scripts/
  • run_r.py · scripts/
  • segment_zh.py · scripts/
  • setup_packages.R · scripts/
  • paths_plan.json · tests/fixtures/
  • paths_synthetic.csv · tests/fixtures/
  • ka_causal.R · tests/
  • ka_latent.R · tests/
  • ka_models.R · tests/
  • ka_patterns.R · tests/
  • known_answers.R · tests/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

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Last commit (this folder)
Oct 7, 2026 (22 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

edu-analysis skill. Agent Mart. https://agentmart.dev/skills/owo1009-lll-edu-analysis (last updated 2026-10-24)