compute_mh_y_pps_count: Compute "Prodromal Psychosis Scale [Youth] (number of "Yes"...

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

Compute "Prodromal Psychosis Scale [Youth] (number of "Yes" responses): Count "

Description

Computes the summary score mh_y_pps_count Prodromal Psychosis Scale [Youth] (number of

• Summarized variables:

  • mh_y_pps_001

  • mh_y_pps_002

  • mh_y_pps_003

  • mh_y_pps_004

  • mh_y_pps_005

  • mh_y_pps_006

  • mh_y_pps_007

  • mh_y_pps_008

  • mh_y_pps_009

  • mh_y_pps_010

  • mh_y_pps_011

  • mh_y_pps_012

  • mh_y_pps_013

  • mh_y_pps_014

  • mh_y_pps_015

  • mh_y_pps_016

  • mh_y_pps_017

  • mh_y_pps_018

  • mh_y_pps_019

  • mh_y_pps_020

  • mh_y_pps_021

• Excluded values: none

• Validation criterion: maximally 4 of 21 items missing

Usage

vars_mh_y_pps_count

compute_mh_y_pps_count(
  data,
  name = "mh_y_pps_count",
  max_na = 4,
  combine = TRUE
)

Arguments

data	tbl, Dataframe 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.
max_na	integer, Maximum number of missing values allowed in the summary score.
combine	logical, If TRUE, the summary score will be appended to the input data frame. If FALSE, the summary score will be returned as a separate data frame.

Format

vars_mh_y_pps_count is a character vector of all column names used to compute summary score of mh_y_pps_count and mh_y_pps_nm

Details

The mh_y_pps_count is calculated by summing the number of 1s in each question. If the number of missing values is greater than max_na, the summary score is set to NA. By default, max_na is set to 4 (20%).

Value

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

Examples

## Not run: 
compute_mh_y_pps_count(data) |>
  select(
    any_of(c("mh_y_pps_count", vars_mh_y_pps_count))
  )

## End(Not run)

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