compute_mh_p_eatq__affl_mean: Compute "Early Adolescent Temperament Questionnaire [Parent]...

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

Compute "Early Adolescent Temperament Questionnaire [Parent] (Affiliation): Mean"

Description

Computes the summary score mh_p_eatq__affl_mean Early Adolescent Temperament Questionnaire [Parent] (Affiliation): Mean

• Summarized variables:

  • mh_p_eatq__affl_001

  • mh_p_eatq__affl_002

  • mh_p_eatq__affl_003

  • mh_p_eatq__affl_004

  • mh_p_eatq__affl_005

  • mh_p_eatq__affl_006

• Excluded values: none

• Validation criterion: maximally 1 of 6 items missing

Usage

vars_mh_p_eatq__affl

compute_mh_p_eatq__affl_mean(
  data,
  name = "mh_p_eatq__affl_mean",
  max_na = 1,
  combine = TRUE,
  revert = FALSE
)

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. NULL means no limit.
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.
revert	logical, If TRUE, the summary score will be reverse scored.

Format

vars_mh_p_eatq__affl is a character vector of all column names used to compute summary score of mh_p_eatq__affl_mean.

Value

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

Examples

## Not run: 
data <- compute_mh_p_eatq__affl_mean(data)
select(
  data,
  any_of(c("mh_p_eatq__affl_mean", vars_mh_p_eatq__affl))
)

## End(Not run)

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