Compact synthetic many-facet datasets designed for documentation examples.
Both datasets are large enough to avoid tiny-sample toy behavior while
remaining fast in R CMD check examples.
Format
A data.frame with 6 columns:
- Study
Example dataset label (
"ExampleCore"or"ExampleBias").- Person
Person/respondent identifier.
- Rater
Rater identifier.
- Criterion
Criterion facet label.
- Score
Observed category score on a four-category scale (
1–4).- Group
Balanced grouping variable used in DFF/DIF examples (
"A"/"B").
Source
Synthetic documentation data generated from rating-scale Rasch facet
designs with fixed seeds in data-raw/make-example-data.R.
Details
Available data objects:
mfrmr_example_coremfrmr_example_bias
mfrmr_example_core is generated from a single latent trait plus rater and
criterion main effects, making it suitable for general fitting, plotting, and
reporting examples.
mfrmr_example_bias starts from the same basic design but adds:
a known
Group x Criterioneffect (Group Bis advantaged onLanguage)a known
Rater x Criterioninteraction (R04 x Accuracy)
This lets differential-functioning and bias-analysis help pages demonstrate non-null findings.
Suggested usage
Use
mfrmr_example_corefor fitting, diagnostics, design-weighted precision curves, and generic plots/reports.Use
mfrmr_example_biasforanalyze_dff(),analyze_dif(),dif_interaction_table(),plot_dif_heatmap(), andestimate_bias().
Both objects can be loaded either with load_mfrmr_data() or directly via
data("mfrmr_example_core", package = "mfrmr") /
data("mfrmr_example_bias", package = "mfrmr").