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A simple wrapper for iarm::item_restscore(), adding information about absolute difference in expected and observed values, and item (average) location.

Usage

RIrestscore(data, output = "table", sort, p.adj = "BH")

Arguments

data

A dataframe with response data

output

Defaults to a HTML table, optional "quarto" and "dataframe"

sort

Optional sorting on absolute difference (descending)

p.adj

See ?item_restscore() for options (BH is default)

Details

Please note that item-restscore is likely to produce false positives when sample size is > 600. It is recommended to use RIbootRestscore() with large samples.