compute_su_y_mjprob_prsum: Compute "Marijuana Problem Index (MAPI) [Youth]: Prorated...

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

Compute "Marijuana Problem Index (MAPI) [Youth]: Prorated sum"

Description

Computes the summary score su_y_mjprob_prsum Marijuana Problem Index (MAPI) [Youth]: Prorated sum [Validation: No more than 3 missing or declined]

• Summarized variables:

  • su_y_mjprob_001

  • su_y_mjprob_002

  • su_y_mjprob_003

  • su_y_mjprob_004

  • su_y_mjprob_005

  • su_y_mjprob_006

  • su_y_mjprob_007

  • su_y_mjprob_008

  • su_y_mjprob_009

  • su_y_mjprob_010

  • su_y_mjprob_011

  • su_y_mjprob_012

  • su_y_mjprob_016

  • su_y_mjprob_017

  • su_y_mjprob_018

• Excluded values: none

• Validation criterion: maximally 3 items missing

Usage

vars_su_y_mjprob

compute_su_y_mjprob_prsum(
  data,
  name = "su_y_mjprob_prsum",
  combine = TRUE,
  max_na = 3
)

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)
max_na	numeric, positive whole number. Number of missing items allowed (Default: 1).

Format

vars_su_y_mjprob is a character vector of all column names used to compute summary score of su_y_mjprob_prsum and su_y_mjprob_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.