ABCDscores (version 6.1.0)

vars_mh_p_eatq__affl: 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
)

Value

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

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.

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.

Examples

if (FALSE) {
data <- compute_mh_p_eatq__affl_mean(data)
select(
  data,
  any_of(c("mh_p_eatq__affl_mean", vars_mh_p_eatq__affl))
)
}