Barratt Impulsiveness Scale (key-driven)

Usage

bis_score(
  data,
  col_map = list(),
  key,
  na_action = c("keep", "omit", "error"),
  missing_prop_max = 0.2,
  impute = c("none", "mean"),
  prefix = "BIS",
  verbose = FALSE
)

Arguments

data: Data frame containing questionnaire item columns.
col_map: Named list mapping canonical item IDs to column names; defaults assume items are already named.
key: List with items, min_val, max_val, optional reverse and subscales.
na_action: How to handle rows with missing items: keep, omit, or error.
missing_prop_max: Maximum allowed proportion of missing items per row before the score is set to NA.
impute: Imputation strategy for missing items when under the threshold: none or mean (row-wise mean).
prefix: Prefix for output column names.
verbose: Logical flag for verbose messaging (reserved).

Value

A tibble of score columns only (total and optional subscales). Input columns are not included.

References

Patton JH, Stanford MS, Barratt ES (1995). “Factor Structure of the Barratt Impulsiveness Scale.” Journal of Clinical Psychology, 51(6), 768–774. doi:10.1002/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1 .

Examples

bis_key <- list(items = sprintf("bis_%02d", 1:5), min_val = 1, max_val = 4)
df <- data.frame(bis_01 = 1, bis_02 = 2, bis_03 = 3, bis_04 = 4, bis_05 = 2)
bis_score(df, key = bis_key)
#> # A tibble: 1 × 1
#>   BIS_total
#>       <dbl>
#> 1        12