Check response patterns in IRW data

Summarize basic response diagnostics in IRW data, including items with a single observed response category and sparse categories in polytomous items.

Usage

irw_check_resp(x, min_count = 5L, min_prop = 0.01)

Arguments

x

A data frame in long format with columns id, item, resp, or the result of irw_long2resp().

min_count

Minimum count for a category before it is considered sparse (only used when x is long-format). Default is 5.

min_prop

Minimum within-item proportion for a category before it is considered sparse (only used when x is long-format). Default is 0.01.

Value

A list with two elements: single_category_items (character vector of item IDs) and sparse_category_items (named list of data frames with columns resp, count, prop).

Details

When x is long-format (with columns id, item, resp), diagnostics are recomputed using min_count and min_prop. When x is the wide-format result of irw_long2resp(), any attached diagnostics from check_resp = TRUE are returned directly.

A response category is treated as "sparse" if it has fewer than min_count observed responses OR a within-item proportion smaller than min_prop.