| build_linking_review | R Documentation |
Build a linking-review synthesis object
build_linking_review(
anchor_review = NULL,
drift = NULL,
chain = NULL,
top_n = 10
)
anchor_review |
Optional output from |
drift |
Optional output from |
chain |
Optional output from |
top_n |
Maximum number of linking-risk rows to highlight in summary outputs. The full object keeps the full risk tables. |
build_linking_review() does not recompute anchor, drift, or chain
statistics. It is a synthesis layer that organizes package-native evidence
into one operational review surface with:
a front-door status block,
ranked linking risks,
explicit next actions,
plot routing metadata,
a reporting/export handoff map.
The helper keeps the current conservative interpretation policy: anchor drift and screened links are operational review tools, not automatic proofs of scale equivalence or score comparability.
An object of class mfrm_linking_review.
Use existing package-native outputs in this order:
review_mfrm_anchors() for pre-fit anchor adequacy.
detect_anchor_drift() for direct wave-to-reference drift screening.
build_equating_chain() for adjacent screened-link review across waves.
overview: which evidence sources were supplied and the current review status.
top_linking_risks: primary operational triage table.
group_view_index: stable wave/link/facet/source-family grouping routes.
plot_map: which existing plotting helper should be used next.
reporting_map: what is covered here versus which manuscript-oriented
helper should be used separately.
This helper is currently intended for the validated RSM / PCM linking
workflow. If the supplied drift/chain sources resolve to bounded GPCM,
the helper stops with a package-level message rather than silently implying
support.
review_mfrm_anchors(), detect_anchor_drift(),
build_equating_chain(), plot_anchor_drift(), mfrmr_linking_and_dff
d1 <- load_mfrmr_data("study1")
d2 <- load_mfrmr_data("study2")
fit1 <- fit_mfrm(d1, "Person", c("Rater", "Criterion"), "Score",
method = "JML", maxit = 30)
fit2 <- fit_mfrm(d2, "Person", c("Rater", "Criterion"), "Score",
method = "JML", maxit = 30)
anchor_review_obj <- review_mfrm_anchors(d1, "Person", c("Rater", "Criterion"), "Score")
drift <- detect_anchor_drift(list(Wave1 = fit1, Wave2 = fit2))
chain <- build_equating_chain(list(Wave1 = fit1, Wave2 = fit2))
review <- build_linking_review(anchor_review = anchor_review_obj, drift = drift, chain = chain)
summary(review)
review$top_linking_risks
review$group_view_index
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