| doc_estimator_paths | R Documentation |
Shared documentation: estimator paths and defaults
esem and besem use lavaan::cfa() with a
native efa() block (integrated MLR estimation and rotation).
esem(ordered = ...) calls esem_ordered. Default
method = "lavaan" (lavaan WLSMV, efa() block, post-hoc rotation).
method = "rotation" uses a custom DWLS pipeline (polychoric correlations
+ GPArotation).
besem(ordered = ...) calls besem_ordered. Default
method = "rotation" (custom DWLS/WLSMV + orthogonal targetT; this
is what run_comparison uses for ordered data). method = "set-esem"
fits a lavaan WLSMV bifactor CFA with non-primary specific loadings fixed at
zero; it does not match Mplus B-ESEM loadings.
esem_invariance uses lavaan multi-group efa() models plus
explicit syntax patches for ordered B-ESEM. See that help page for scope limits.
Defaults differ by entry point; pass missing explicitly when fitting ESEM and
B-ESEM separately on the same ordered dataset.
specify_model / run_comparison: "pairwise"
for ordered data, "listwise" for continuous.
esem_ordered: "pairwise".
besem_ordered: "listwise" (pipeline still passes
missing from the spec when used via run_comparison).
esem / besem (continuous): "listwise".
For besem_ordered(method = "rotation") and
esem_ordered(method = "rotation"), $lavaan_fit is often an
auxiliary one-factor WLSMV CFA used only to extract DWLS weight matrices—not
the fitted ESEM/B-ESEM model. Use std_loadings, parameters,
and fitMeasures(x) on the esem_fit wrapper;
fitMeasures(x) reads wlsmv_stats when present.
Do not interpret summary(x$lavaan_fit), modindices(x), or
coef(x) as the rotated solution unless you know the fit used the lavaan
efa() path (method = "lavaan" or method = "set-esem" for B-ESEM).
When heywood_fix = TRUE (default on single-group esem and
esem_ordered), std_loadings may reflect a post-hoc
rotation correction while lavaan_fit still holds the pre-correction lavaan
solution. Prefer std_loadings(x) for reported loadings in that case.
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