MnSq misfit threshold pair used across mfrmr screening helpers

Returns the lower / upper bounds that mfrmr screens treat as the heuristic mean-square (Infit / Outfit MnSq) review band when flagging element-level misfit. Defaults use the published 0.5-1.5 interval as a screening convention; both ends can be overridden via R options. The interval is not a universal acceptance rule or an automatic exclusion rule.

Usage

mfrm_misfit_thresholds(lower = NULL, upper = NULL)

Arguments

lower: Optional lower bound. When NULL (default), the active option / package default is used.
upper: Optional upper bound.

Value

A named numeric vector c(lower = ..., upper = ...) with lower < upper.

Details

Helpers that consume the band include summary.mfrm_diagnostics() (misfit_flagged block and key_warnings auto-flag), build_misfit_casebook() (the new element_fit source family), the bias / misfit narrative inside build_apa_outputs(), and facet_quality_dashboard() when misfit_warn = NULL. Setting the options once at the top of an analysis script therefore changes every downstream screen at once.

Configuration

Two scalar R options drive the band:

mfrmr.misfit_lower: Lower review bound. Default 0.5.
mfrmr.misfit_upper: Upper review bound. Default 1.5.

Pass scalar arguments to override the options for a single call, e.g. mfrm_misfit_thresholds(lower = 0.7, upper = 1.3) for the tighter Bond & Fox (2015) reporting band.

Examples

mfrm_misfit_thresholds()
#> lower upper 
#>   0.5   1.5 
old <- options(mfrmr.misfit_lower = 0.7, mfrmr.misfit_upper = 1.3)
mfrm_misfit_thresholds()
#> lower upper 
#>   0.7   1.3 
options(old)