Validate school, classroom, and student identifiers; review cluster sizes and missingness
Validate school, classroom, and student identifiers; review cluster sizes and missingness.
EDUCATION PREMIUM WORKFLOW · VERSION 1.0
Model the structure.
Interpret each level.
A reproducible R Markdown workflow for students nested in classrooms and schools, with cluster audits, intraclass correlations, within-between effects, random slopes, cross-level interactions, and a binary-outcome extension.
One-time purchase · Individual-use license · Secure digital delivery
Audit nested dataValidate school, classroom, and student identifiers; review cluster sizes and missingness.
Separate the levelsEstimate variance components and intraclass correlations for classroom and school levels.
Check model stabilitySeparate within-classroom and between-classroom associations with defensible centering.
WHAT IS INSIDE
A complete education-analysis workflow.
The package connects design-specific data audits, model choice, diagnostics, interpretation, and reporting in one reproducible analysis.
Estimate variance components and intraclass correlations for classroom and school levels
Estimate variance components and intraclass correlations for classroom and school levels.
Separate within-classroom and between-classroom associations with defensible centering
Separate within-classroom and between-classroom associations with defensible centering.
Fit random-intercept and random-slope models and a cross-level moderation example
Fit random-intercept and random-slope models and a cross-level moderation example.
Extend the workflow to a binary outcome and check influential clusters
Extend the workflow to a binary outcome and check influential clusters.
Interpret uncertainty, small-cluster limitations, and simulation-based power
Interpret uncertainty, small-cluster limitations, and simulation-based power.
DESIGNED FOR EDUCATION RESEARCH
School and classroom data.
This workflow is useful when:
- Students are nested in classrooms, schools, or both.
- You need to distinguish student-level and context-level associations.
- Your theory includes classroom or school differences in effects.
- Your committee expects cluster-aware diagnostics and reporting.
Three or more nesting levels, complex survey weights, longitudinal dynamic models, and nonstandard outcome distributions may require extensions.
PUBLIC PREVIEW
Review the rendered analysis.
The public preview shows output, figures, and interpretation without exposing source code or session information. The paid version includes the complete editable R Markdown source and all analysis code.
THE DOWNLOADABLE PACKAGE
Run the example.
Then adapt your study.
The release uses a documented synthetic education dataset. Run the complete example first, then adapt the clearly marked settings and models to your research design.
- Editable R Markdown source and rendered report
- Documented synthetic student, classroom, and school data
- Cluster audits and ICC tables
- Within-between decomposition and random-effects models
- Binary-outcome extension and cluster diagnostics
- Accessible figures and dynamic reporting
- Start guide, reporting checklist, and individual-use license
The workflow supports analysis and documentation. The researcher remains responsible for selecting methods that fit the study and for reviewing conclusions with the dissertation advisor, committee, or a qualified statistician.
VERSION 1.0.0
Complete workflow.
$59 one time.
Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.
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