edu-analysis
Skill9 starsChanged 39 days agoLicence not identifiedView on GitHub
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.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- tang1693/yunduan-ai-skillstheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- tang1693/yunduan-ai-skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- edu-auditSkill
- edu-pptSkill
- edu-proposalSkill
- edu-qualSkill
- edu-researchSkill
- edu-responseSkill
- edu-reviewSkill
- edu-sharedSkill
- edu-writingSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.