score_rt: Score the Risk Taking - 18 item scale (RT-18)

In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)

Score the Risk Taking – 18 item scale (RT-18)

Description

Score the Risk Taking – 18 item scale (RT-18)

Usage

score_rt(
  df,
  item_prefix = "RT",
  max_impute = 0.2,
  drop_items = FALSE,
  input_codes = c(1, 2),
  min_value = 0,
  max_value = 1
)

Arguments

df	a data.frame containing the 18 RT items to be scored
item_prefix	a character prefix of the items names in df to be scored. Default: "RT"
max_impute	the proportion of missingness [0..1) or number [1..n] of missing values per scale. Below this threshold, the person subscale mean will be imputed for missing items.
drop_items	whether to remove the item-level data from the df. Default: FALSE
input_codes	the original T/F coding scheme of the input dataframe. These are converted to the specified min and max value.
min_value	the minimum value for the item anchors. Default: 0
max_value	the highest value for the item anchors. Default: 1

Details

Adds three columns, RT_riskbehavior, RT_riskassessment, and RT_total, to df containing the different subscales, respectively.

Note: the default RT scoring uses the mean of the items for the scales.

Note: the code assumes that pasting together the item_prefix and the numbers 1:18 will yield the 18 items from the test.

Author(s)

Michael Hallquist

PennStateDEPENdLab/dependlab documentation built on April 10, 2024, 5:15 p.m.