ABCDscores (version 6.1.0)

vars_fc_p_nce__cc: Compute "Neighborhood Collective Efficacy [Parent] (Community cohesion): Mean"

Description

Computes the summary score fc_p_nce__cc_mean (Neighborhood Collective Efficacy [Parent] (Community cohesion): Mean)

• Summarized variables:

  • fc_p_nce__cc_001

  • fc_p_nce__cc_002

  • fc_p_nce__cc_003

  • fc_p_nce__cc_004

  • fc_p_nce__cc_005

• Excluded values:

  • 777

• Validation criterion: maximally 1 of 5 items missing

• Notes:

  • The following variables are reverse coded before computing the summary score:

    • fc_p_nce__cc_003

    • fc_p_nce__cc_004

  • The value "99" (Don't know) is recoded to "3" (Neither... nor...)

Usage

vars_fc_p_nce__cc
compute_fc_p_nce__cc_mean(
  data,
  name = "fc_p_nce__cc_mean",
  max_na = 1,
  combine = TRUE
)

Value

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

Format

vars_fc_p_nce__cc is a character vector of all column names used to compute summary score of fc_p_nce__cc.

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character. Name of the summary score. Default is the name in the description.

max_na

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

combine

logical. If TRUE, the summary score is appended to the input data frame. If FALSE, the summary score is returned as a separate data frame. Default is TRUE.