print.rs_characterization: Print Method for Response Shift Characterization Results

In grmtree: Recursive Partitioning for Graded Response Models

Print Method for Response Shift Characterization Results

Description

Displays a formatted summary of response shift characterization results from rs_characterize, including omnibus RS test results per terminal node and item-level RS testing results with significance markers.

Usage

## S3 method for class 'rs_characterization'
print(x, ...)

Arguments

x	An rs_characterization object returned by rs_characterize.
...	Additional arguments (currently unused).

Details

The output is organized in two sections:

Omnibus RS Test: For each terminal node, displays the LRT statistic, degrees of freedom, raw and adjusted p-values (if applicable), RS detection status, effect sizes (pseudo R-squared and AIC difference), latent mean shift, T1-T2 correlation, and convergence warnings.

Item-Level RS Testing: For nodes where omnibus RS was detected, displays per-item LRT statistics, raw and adjusted p-values, RS type classification, and significance markers (*** for items significant after adjustment). Also reports the p-value adjustment method and RS classification threshold used.

Value

Invisibly returns x. Called for its side effect of printing formatted output to the console.

See Also

rs_characterize for computing the results

grmtree documentation built on Sept. 2, 2026, 1:07 a.m.