Audit item difficulty, missingness, score distributions, and corrected item-total relations
Audit item difficulty, missingness, score distributions, and corrected item-total relations.
EDUCATION PREMIUM WORKFLOW · VERSION 1.0
Measure the construct.
Inspect every item.
A complete item-response workflow for educational assessments, from item and dimensionality audits to Rasch and 2PL estimation, test information, EAP scores, and uniform and nonuniform DIF review.
One-time purchase · Individual-use license · Secure digital delivery
Inspect item behaviorAudit item difficulty, missingness, score distributions, and corrected item-total relations.
Quantify score precisionReview tetrachoric dimensionality evidence and residual local dependence.
Review group differencesFit and compare Rasch/1PL and 2PL item-response models.
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.
Review tetrachoric dimensionality evidence and residual local dependence
Review tetrachoric dimensionality evidence and residual local dependence.
Fit and compare Rasch/1PL and 2PL item-response models
Fit and compare Rasch/1PL and 2PL item-response models.
Create item characteristic curves, test-information functions, conditional error curves, and person-item maps
Create item characteristic curves, test-information functions, conditional error curves, and person-item maps.
Generate EAP person estimates with conditional uncertainty
Generate EAP person estimates with conditional uncertainty.
Screen uniform and nonuniform DIF with multiplicity adjustment and fairness guidance
Screen uniform and nonuniform DIF with multiplicity adjustment and fairness guidance.
DESIGNED FOR EDUCATION RESEARCH
Item response theory and fairness.
This workflow is useful when:
- You analyze scored right/wrong educational assessment items.
- You need item-level difficulty, discrimination, or score-precision evidence.
- You compare measurement behavior across groups.
- Your committee expects careful treatment of dimensionality, local dependence, and DIF.
Polytomous items, multidimensional IRT, adaptive testing, linking across forms, and high-stakes operational decisions need additional validation and specialized methods.
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
- Synthetic two-group educational assessment data
- Rasch/1PL and 2PL item-response models
- Dimensionality and local-dependence review
- Item curves, information, conditional error, and person-item figures
- EAP scores and DIF screens with multiplicity adjustment
- 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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