compute_su_y_cigexp__neg_prsum: Compute "Cigarette Expectancies (ASCQ) [Youth] (Strength of...

In ABCDscores: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study

Compute "Cigarette Expectancies (ASCQ) [Youth] (Strength of negative expectancies): Prorated sum"

Description

Computes the summary score su_y_cigexp__neg_prsum Cigarette Expectancies (ASCQ) [Youth] (Strength of negative expectancies): Prorated sum [Validation: No more than 0 missing or declined]

Note: all 0s are changed to NAs prior to calculating pro-rated sum

• Summarized variables:

  • su_y_cigexp__neg_001

  • su_y_cigexp__neg_002

• Excluded values:

  • 0

• Validation criterion: maximally 0 of 2 items missing

Usage

vars_su_y_cigexp__neg

compute_su_y_cigexp__neg_prsum(
  data,
  name = "su_y_cigexp__neg_prsum",
  combine = TRUE,
  exclude = c("0"),
  max_na = 0
)

Arguments

data	tbl. Data frame containing the columns to be summarized.
name	character, Name of the new column to be created. Default is the name in description, but users can change it.
combine	logical, If TRUE (default), the summary score will be appended to the input data frame. If FALSE, the summary score for each participant will be returned as a separate data frame. (Default: TRUE)
exclude	character vector. Values to be excluded from the summary score calculation.
max_na	numeric, positive whole number. Number of missing items allowed (Default: 1).

Format

vars_su_y_cigexp__neg is a character vector of all column names used to compute summary score of su_y_cigexp__neg_prsum and su_y_cigexp__neg_nm.

Value

tbl. The input data frame with the summary score appended as a new column.

ABCDscores documentation built on Sept. 11, 2025, 5:08 p.m.