compute_mh_p_ple_count: Compute "Life Events [Parent] (Events): Count [Validation: No...

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

Compute "Life Events [Parent] (Events): Count [Validation: No more than 5 missing or declined]"

Description

Computes the summary score mh_p_ple_count Life Events [Parent] (Events): Count [Validation: No more than 5 missing or declined]

• Summarized variables:

  • mh_p_ple_001

  • mh_p_ple_002

  • mh_p_ple_003

  • mh_p_ple_004

  • mh_p_ple_005

  • mh_p_ple_006

  • mh_p_ple_007

  • mh_p_ple_008

  • mh_p_ple_009

  • mh_p_ple_010

  • mh_p_ple_011

  • mh_p_ple_012

  • mh_p_ple_013

  • mh_p_ple_014

  • mh_p_ple_015

  • mh_p_ple_016

  • mh_p_ple_017

  • mh_p_ple_018

  • mh_p_ple_019

  • mh_p_ple_020

  • mh_p_ple_021

  • mh_p_ple_022

  • mh_p_ple_023

  • mh_p_ple_024

  • mh_p_ple_025

• Excluded values:

  • 444

  • 777

  • 999

• Validation criterion: maximally 5 of 25 items missing

Usage

vars_mh_p_ple

vars_mh_p_ple__exp

compute_mh_p_ple_count(
  data,
  name = "mh_p_ple_count",
  combine = TRUE,
  max_na = 5
)

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: 5).

Format

vars_mh_p_ple is a character vector of all column names used to compute summary score of mh_p_ple.

vars_mh_p_ple__exp is a character vector of all column names used to compute summary score of mh_p_ple__exp.

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.