compute_su_y_nicsre__chew_sum: Compute "Nicotine Subjective Response and Effects [Youth]...

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

Compute "Nicotine Subjective Response and Effects [Youth] (Intensity of positive and negative effects of first smokeless tobacco or chew use): Sum - Negative score inverted [Validation: None missing or declined]"

Description

Computes the summary score su_y_nicsre__chew_sum Nicotine Subjective Response and Effects [Youth] (Intensity of positive and negative effects of first smokeless tobacco or chew use): Sum - Negative score inverted [Validation: None missing or declined]

• Summarized variables:

  • su_y_nicsre__chew__pos_001

  • su_y_nicsre__chew__neg_001

• Excluded values: none

• Validation criterion: maximally 0 of 2 items missing

Usage

vars_su_y_nicsre__chew

compute_su_y_nicsre__chew_sum(
  data,
  name = "su_y_nicsre__chew_sum",
  combine = TRUE,
  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: the name used in the ABCD data release).
combine	logical. If TRUE, the new column will be bound to the input data frame. If FALSE, the new column will be created as a new data frame.
max_na	numeric, positive whole number. Number of missing items allowed (Default: 0).

Format

vars_su_y_nicsre__chew is a character vector of all column names used to compute summary scores of compute_su_y_nicsre__chew (⁠_sum⁠, ⁠_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.