Title:	Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study
Description:	Provides functions to compute summary scores (besides proprietary ones) reported in the tabulated data resource that is released by the Adolescent Brain Cognitive Development (ABCD) study. Feldstein Ewing and Luciana (2018) https://www.sciencedirect.com/journal/developmental-cognitive-neuroscience/vol/32.
URL:	https://software.nbdc-datahub.org/ABCDscores/
Version:	6.0.1
Depends:	R (≥ 4.3.0)
Imports:	chk, cli, dplyr, glue, lubridate, magrittr, purrr, rlang, stringr, tibble, tidyr, stats, utils
Suggests:	arrow, rmarkdown, roxyglobals, testthat (≥ 3.0.0), knitr, reactable, readr, usethis
License:	GPL (≥ 3)
Encoding:	UTF-8
RoxygenNote:	7.3.2
Config/testthat/edition:	3
Config/Needs/website:	rmarkdown
VignetteBuilder:	knitr
LazyData:	true
Config/roxyglobals/filename:	globals.R
Config/roxyglobals/unique:	TRUE
NeedsCompilation:	no
Packaged:	2025-09-08 19:53:56 UTC; lz
Author:	Janosch Linkersdoerfer [aut, cre], Le Zhang [aut], Olivier Celhay [aut], Biplabendu Das [aut], Sammy Berman [aut], Laura Ziemer [aut]
Maintainer:	Janosch Linkersdoerfer <dairc.service@gmail.com>
Repository:	CRAN
Date/Publication:	2025-09-11 09:00:16 UTC

ABCDscores: Summary Scores of the Adolescent Brain Cognitive Development Study

Description

This package provides functions to compute summary scores (besides proprietary ones) reported in the tabulated data resource that is released by the Adolescent Brain Cognitive Development (ABCD) study. Feldstein Ewing and Luciana (2018) https://www.sciencedirect.com/journal/developmental-cognitive-neuroscience/vol/32.

Author(s)

Maintainer: Janosch Linkersdoerfer dairc.service@gmail.com (ORCID)

Authors:

• Le Zhang lezhang100@gmail.com (ORCID)

• Olivier Celhay olivier.celhay@gmail.com (ORCID)

• Biplabendu Das biplabendu.das@gmail.com (ORCID)

• Sammy Berman sammyberman@gmail.com (ORCID)

• Laura Ziemer lrziemer@gmail.com (ORCID)

See Also

Useful links:

• https://software.nbdc-datahub.org/ABCDscores/

Check arguments for TLFB summary score functions

Description

Validates the arguments to compute a TLFB substance use score.

Usage

check_args_tlfb(
  data,
  name,
  substance = NULL,
  period = NULL,
  days = NULL,
  wknd = NULL,
  co_use = NULL,
  binge = NULL,
  position = NULL
)

Arguments

Value

NULL. Invisibly returns NULL if all checks pass. Otherwise, an error is raised.

Check an output field and assign NA when input variables all have NAs

Description

Checks the specified output column in a data frame and assigns NA to its value depending on the missingness of a set of input columns. If allow_missingness = TRUE, the output column is set to NA only when all the specified input columns are NA. If allow_missingness = FALSE, the output column is set to NA when any of the input columns are NA. This function is useful for propagating missingness from input variables to a derived output.

Usage

check_assign_na(data, output, input, allow_missingness = TRUE)

Arguments

Value

tbl. The input data frame with the output column modified.

Examples

# Example data
dat <- tibble::tibble(
  a = c(1, NA, 3),
  b = c(NA, NA, 2),
  c = c(1, 2, 3),
  out = c(10, 11, 12)
)

# Assign NA to out when all of a and b are NA
check_assign_na(
  dat,
  output = "out", input = c("a", "b"), allow_missingness = TRUE
)

# Assign NA to out when any of a and b are NA
check_assign_na(
  dat,
  output = "out", input = c("a", "b"), allow_missingness = FALSE
)

Check if a column name already exists in a data frame

Description

This function checks if a column name already exists in a data frame. If the column name already exists, the function will abort with an error.

Usage

check_col_names(data, names)

Arguments

Value

NULL. The function will abort with an error if the column name already exists.

Examples

data <- tibble::tibble(a = NA, b = NA, c = NA)
try({
  check_col_names(data, c("a", "b", "c"))
  check_col_names(data, c("a", "d"))
})

Combine columns

Description

Combines two columns into one. The name of the first column is used for the new column, the second column is removed. Used for cases where different versions of the same variable exist that have to be combined before computing a summary score.

Usage

combine_cols(data, col_1, col_2, name = NULL, keep_other = TRUE)

Arguments

Value

tbl. The input data frame with the combined column and the second column removed. The name of the combined column is the same as col_1, or user-specified in the name argument.

Examples

data <- tibble::tibble(
  var_id = c("A", "B", "C"),
  var_orig = c(1, NA, 3),
  var_alt = c(NA, 2, 4)
)

data |>
  combine_cols(
    col_1 = "var_orig",
    col_2 = "var_alt"
  )

data |>
  combine_cols(
    "var_orig",
    "var_alt",
    name = "out"
  )

data |>
  combine_cols(
    "var_orig",
    "var_alt",
    name = "out",
    keep_other = FALSE
  )

Combine levels from two variables to create a new variable

Description

Combines levels from two columns into new level stored into a new column. Allows users to create new classifications using levels defined in existing fields.

Usage

combine_levels(data, vars, conds, default = NA, combine = TRUE)

Arguments

Value

tbl. The input data frame with the new column with combined levels appended at the end.

Examples

data <- tibble::tibble(
  var_1 = c("a", "b", "b", "c"),
  var_2 = c(1, NA, 2, 3)
)

data |>
  combine_levels(
    vars = list(
      "var_3" = c("var_1", "var_2")
    ),
    conds = list(
      "a1" = list("a", 1),
      "b0" = list("b", NA),
      "b2" = list("b", 2)
    ),
    default = "var_1",
    combine = TRUE
  )

Compute "Cohort description: Household income - 3 levels"

Description

Computes the summary score ab_g_dyn__cohort_income__hhold__3lvl Cohort description: Household income - 3 levels

• Summarized variables:

  • ab_p_demo__income__hhold_001

  • ab_p_demo__income__hhold_001__v01

Usage

compute_ab_g_dyn__cohort_income__hhold__3lvl(
  data,
  name = "ab_g_dyn__cohort_income__hhold__3lvl",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_ab_g_dyn__cohort_income__hhold__6lvl()

Compute all the ab_g_dyn scores

Description

A single function to compute all scores in the above domain using default arguments.

Usage

compute_ab_g_dyn_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_ab_g_dyn_all(data)

## End(Not run)

Compute all the ab_g_stc scores

Description

A single function to compute all scores in the above domain using default arguments.

Usage

compute_ab_g_stc_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_ab_g_stc_all(data)

## End(Not run)

Compute time interval between two dates

Description

Calculate the time difference between two dates in specified units (years, months, or days). Uses lubridate intervals for accurate calculations across calendar irregularities.

Usage

compute_age(date_start, date_end, unit = c("years", "months", "days"))

Arguments

Value

A numeric value representing the time difference in the specified unit.

Examples

# Calculate age in years
compute_age(as.Date("1990-01-01"), as.Date("2024-01-01"))

# Calculate age in months
compute_age(as.Date("2023-01-01"), as.Date("2024-01-01"), unit = "months")

# Calculate age in days
compute_age(as.Date("2023-12-01"), as.Date("2024-01-01"), unit = "days")

Compute "Family Environment Scale [Parent] (Cohesion): Number missing"

Description

Computes the summary score fc_p_fes__cohes_nm (Family Environment Scale [Parent] (Cohesion): Number missing)

• Summarized variables:

  • fc_p_fes__cohes_001

  • fc_p_fes__cohes_002

  • fc_p_fes__cohes_003

  • fc_p_fes__cohes_004

  • fc_p_fes__cohes_005

  • fc_p_fes__cohes_006

  • fc_p_fes__cohes_007

  • fc_p_fes__cohes_008

  • fc_p_fes__cohes_009

• Excluded values: none

Usage

compute_fc_p_fes__cohes_nm(data, name = "fc_p_fes__cohes_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_fes__cohes_mean()

Compute "Family Environment Scale [Parent] (Conflict): Number missing"

Description

Computes the summary score fc_p_fes__confl_nm (Family Environment Scale [Parent] (Conflict): Number missing)

• Summarized variables:

  • fc_p_fes__confl_001

  • fc_p_fes__confl_002

  • fc_p_fes__confl_003

  • fc_p_fes__confl_004

  • fc_p_fes__confl_005

  • fc_p_fes__confl_006

  • fc_p_fes__confl_007

  • fc_p_fes__confl_008

  • fc_p_fes__confl_009

• Excluded values: none

Usage

compute_fc_p_fes__confl_nm(data, name = "fc_p_fes__confl_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_fes__confl_mean()

Compute "Family Environment Scale [Parent] (Expression): Number missing"

Description

Computes the summary score fc_p_fes__expr_nm (Family Environment Scale [Parent] (Expression): Number missing)

• Summarized variables:

  • fc_p_fes__expr_001

  • fc_p_fes__expr_002

  • fc_p_fes__expr_003

  • fc_p_fes__expr_004

  • fc_p_fes__expr_005

  • fc_p_fes__expr_006

  • fc_p_fes__expr_007

  • fc_p_fes__expr_008

  • fc_p_fes__expr_009

• Excluded values: none

Usage

compute_fc_p_fes__expr_nm(data, name = "fc_p_fes__expr_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_fes__expr_mean()

Compute "Family Environment Scale [Parent] (Intellectual and cultural): Number missing"

Description

Computes the summary score fc_p_fes__intelcult_nm (Family Environment Scale [Parent] (Intellectual and cultural): Number missing)

• Summarized variables:

  • fc_p_fes__intelcult_001

  • fc_p_fes__intelcult_002

  • fc_p_fes__intelcult_003

  • fc_p_fes__intelcult_004

  • fc_p_fes__intelcult_005

  • fc_p_fes__intelcult_006

  • fc_p_fes__intelcult_007

  • fc_p_fes__intelcult_008

  • fc_p_fes__intelcult_009

• Excluded values: none

Usage

compute_fc_p_fes__intelcult_nm(
  data,
  name = "fc_p_fes__intelcult_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_p_fes__intelcult_mean()

Compute "Family Environment Scale [Parent] (Organization): Number missing"

Description

Computes the summary score fc_p_fes__org_nm (Family Environment Scale [Parent] (Organization): Number missing)

• Summarized variables:

  • fc_p_fes__org_001

  • fc_p_fes__org_002

  • fc_p_fes__org_003

  • fc_p_fes__org_004

  • fc_p_fes__org_005

  • fc_p_fes__org_006

  • fc_p_fes__org_007

  • fc_p_fes__org_008

  • fc_p_fes__org_009

• Excluded values: none

Usage

compute_fc_p_fes__org_nm(data, name = "fc_p_fes__org_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_fes__org_mean()

Compute "Family Environment Scale [Parent] (Activity and recreational): Number missing"

Description

Computes the summary score fc_p_fes__rec_nm (Family Environment Scale [Parent] (Activity and recreational): Number missing)

• Summarized variables:

  • fc_p_fes__rec_001

  • fc_p_fes__rec_002

  • fc_p_fes__rec_003

  • fc_p_fes__rec_004

  • fc_p_fes__rec_005

  • fc_p_fes__rec_006

  • fc_p_fes__rec_007

  • fc_p_fes__rec_008

  • fc_p_fes__rec_009

• Excluded values: none

Usage

compute_fc_p_fes__rec_nm(data, name = "fc_p_fes__rec_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_fes__rec_mean()

Compute all the fc_p_fes summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_fes_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_fes_all(data)

## End(Not run)

Compute "The Multigroup Ethnic Identity Measure-Revised [Parent] (Commitment and attachment): Number missing"

Description

Computes the summary score fc_p_meim__commattach_nm (The Multigroup Ethnic Identity Measure-Revised [Parent] (Commitment and attachment): Number missing)

• Summarized variables:

  • fc_p_meim__commattach_001

  • fc_p_meim__commattach_002

  • fc_p_meim__commattach_003

• Excluded values: none

Usage

compute_fc_p_meim__commattach_nm(
  data,
  name = "fc_p_meim__commattach_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_p_meim__commattach_mean()

Compute "The Multigroup Ethnic Identity Measure-Revised [Parent] (Exploration): Number missing"

Description

Computes the summary score fc_p_meim__explor_nm (The Multigroup Ethnic Identity Measure-Revised [Parent] (Exploration): Number missing)

• Summarized variables:

  • fc_p_meim__explor_001

  • fc_p_meim__explor_002

  • fc_p_meim__explor_003

• Excluded values: none

Usage

compute_fc_p_meim__explor_nm(
  data,
  name = "fc_p_meim__explor_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_p_meim__explor_mean()

Compute all the fc_p_meim summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_meim_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_meim_all(data)

## End(Not run)

Compute "The Multigroup Ethnic Identity Measure-Revised [Parent]: Number missing"

Description

Computes the summary score fc_p_meim_nm (The Multigroup Ethnic Identity Measure-Revised [Parent]: Number missing)

• Summarized variables:

  • fc_p_meim__commattach_001

  • fc_p_meim__commattach_002

  • fc_p_meim__commattach_003

  • fc_p_meim__explor_001

  • fc_p_meim__explor_002

  • fc_p_meim__explor_003

• Excluded values: none

Usage

compute_fc_p_meim_nm(data, name = "fc_p_meim_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_meim_mean()

Compute "Neighborhood Collective Efficacy [Parent] (Community cohesion): Number missing"

Description

Computes the summary score fc_p_nce__cc_nm (Neighborhood Collective Efficacy [Parent] (Community cohesion): Number missing)

• 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

Usage

compute_fc_p_nce__cc_nm(data, name = "fc_p_nce__cc_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_nce__cc_mean()

Compute "Neighborhood Collective Efficacy [Parent] (Informal social control): Number missing"

Description

Computes the summary score fc_p_nce__isc_nm (Neighborhood Collective Efficacy [Parent] (Informal social control): Number missing)

• Summarized variables:

  • fc_p_nce__isc_001

  • fc_p_nce__isc_002

  • fc_p_nce__isc_003

  • fc_p_nce__isc_004

  • fc_p_nce__isc_005

• Excluded values:

  • 777

Usage

compute_fc_p_nce__isc_nm(data, name = "fc_p_nce__isc_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_nce__isc_mean()

Compute all the fc_p_nce summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_nce_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_nce_all(data)

## End(Not run)

Compute "Neighborhood Collective Efficacy [Parent]: Number missing"

Description

Computes the summary score fc_p_nce_nm (Neighborhood Collective Efficacy [Parent]: Number missing)

• 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

  • fc_p_nce__isc_001

  • fc_p_nce__isc_002

  • fc_p_nce__isc_003

  • fc_p_nce__isc_004

  • fc_p_nce__isc_005

• Excluded values:

  • 777

Usage

compute_fc_p_nce_nm(data, name = "fc_p_nce_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_nce_mean()

Compute "Neighborhood Safety & Crime [Parent] (Neighborhood safety): Number missing"

Description

Computes the summary score fc_p_nsc__ns_nm (Neighborhood Safety & Crime [Parent] (Neighborhood safety): Number missing)

• Summarized variables:

  • fc_p_nsc__ns_001

  • fc_p_nsc__ns_002

  • fc_p_nsc__ns_003

• Excluded values:

  • 777

  • 999

Usage

compute_fc_p_nsc__ns_nm(data, name = "fc_p_nsc__ns_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_nsc__ns_mean()

Compute all the fc_p_nsc summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_nsc_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_nsc_all(data)

## End(Not run)

Compute "Parental Knowledge Scale [Parent]: Number missing"

Description

Computes the summary score fc_p_pk__knowl_nm (Parental Knowledge Scale [Parent]: Number missing)

• Summarized variables:

  • fc_p_pk__knowl_001

  • fc_p_pk__knowl_002

  • fc_p_pk__knowl_003

  • fc_p_pk__knowl_004

  • fc_p_pk__knowl_005

  • fc_p_pk__knowl_006

  • fc_p_pk__knowl_007

  • fc_p_pk__knowl_008

  • fc_p_pk__knowl_009

• Excluded values:

  • 777

Usage

compute_fc_p_pk__knowl_nm(data, name = "fc_p_pk__knowl_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_pk__knowl_mean()

Compute all the fc_p_pk summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_pk_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_pk_all(data)

## End(Not run)

Compute all the fc_p_psb summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_psb_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_psb_all(data)

## End(Not run)

Compute "Prosocial Behavior [Parent]: Number missing"

Description

Computes the summary score fc_p_psb_nm (Prosocial Behavior [Parent]: Number missing)

• Summarized variables:

  • fc_p_psb_001

  • fc_p_psb_002

  • fc_p_psb_003

• Excluded values: none

Usage

compute_fc_p_psb_nm(data, name = "fc_p_psb_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_psb_mean()

Compute "Values Scale [Parent] (Independence and self-reliance): Number missing"

Description

Computes the summary score fc_p_vs__indselfrel_nm (Values Scale [Parent] (Independence and self-reliance): Number missing)

• Summarized variables:

  • fc_p_vs__indselfrel_001

  • fc_p_vs__indselfrel_002

  • fc_p_vs__indselfrel_003

  • fc_p_vs__indselfrel_004

  • fc_p_vs__indselfrel_005

• Excluded values: none

Usage

compute_fc_p_vs__indselfrel_nm(
  data,
  name = "fc_p_vs__indselfrel_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_p_vs__indselfrel_mean()

Compute "Values Scale [Parent] (Family obligation): Number missing"

Description

Computes the summary score fc_p_vs__obl_nm (Values Scale [Parent] (Family obligation): Number missing)

• Summarized variables:

  • fc_p_vs__obl_001

  • fc_p_vs__obl_002

  • fc_p_vs__obl_003

  • fc_p_vs__obl_004

  • fc_p_vs__obl_005

• Excluded values: none

Usage

compute_fc_p_vs__obl_nm(data, name = "fc_p_vs__obl_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_vs__obl_mean()

Compute "Values Scale [Parent] (Family as referent): Number missing"

Description

Computes the summary score fc_p_vs__ref_nm (Values Scale [Parent] (Family as referent): Number missing)

• Summarized variables:

  • fc_p_vs__ref_001

  • fc_p_vs__ref_002

  • fc_p_vs__ref_003

  • fc_p_vs__ref_004

  • fc_p_vs__ref_005

• Excluded values: none

Usage

compute_fc_p_vs__ref_nm(data, name = "fc_p_vs__ref_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_vs__ref_mean()

Compute "Values Scale [Parent] (Religion): Number missing"

Description

Computes the summary score fc_p_vs__relig_nm (Values Scale [Parent] (Religion): Number missing)

• Summarized variables:

  • fc_p_vs__relig_001

  • fc_p_vs__relig_002

  • fc_p_vs__relig_003

  • fc_p_vs__relig_004

  • fc_p_vs__relig_005

  • fc_p_vs__relig_006

  • fc_p_vs__relig_007

• Excluded values: none

Usage

compute_fc_p_vs__relig_nm(data, name = "fc_p_vs__relig_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_vs__relig_mean()

Compute "Values Scale [Parent] (Family support): Number missing"

Description

Computes the summary score fc_p_vs__supp_nm (Values Scale [Parent] (Family support): Number missing)

• Summarized variables:

  • fc_p_vs__supp_001

  • fc_p_vs__supp_002

  • fc_p_vs__supp_003

  • fc_p_vs__supp_004

  • fc_p_vs__supp_005

  • fc_p_vs__supp_006

• Excluded values: none

Usage

compute_fc_p_vs__supp_nm(data, name = "fc_p_vs__supp_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_p_vs__supp_mean()

Compute all the fc_p_vs summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_p_vs_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_p_vs_all(data)

## End(Not run)

Compute "Activity Space [Youth] (Safety): Number missing"

Description

Computes the summary score fc_y_as__safe_nm (Activity Space [Youth] (Safety): Number missing)

• Summarized variables:

  • fc_y_as__safe_001a

  • fc_y_as__safe_001b

  • fc_y_as__safe_001c

• Excluded values: none

Usage

compute_fc_y_as__safe_nm(data, name = "fc_y_as__safe_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_as__safe_mean()

Compute all the fc_y_as summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_as_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_as_all(data)

## End(Not run)

Compute "Children's Report of Parental Behavioral Inventory [Youth] (Caregiver A): Number missing"

Description

Computes the summary score fc_y_crpbi__cg1_nm (Children's Report of Parental Behavioral Inventory [Youth] (Caregiver A): Number missing)

• Summarized variables:

  • fc_y_crpbi__cg1_002

  • fc_y_crpbi__cg1_003

  • fc_y_crpbi__cg1_004

  • fc_y_crpbi__cg1_005

  • fc_y_crpbi__cg1_006

• Excluded values: none

Usage

compute_fc_y_crpbi__cg1_nm(data, name = "fc_y_crpbi__cg1_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_crpbi__cg1_mean()

Compute "Children's Report of Parental Behavioral Inventory [Youth] (Caregiver B): Number missing"

Description

Computes the summary score fc_y_crpbi__cg2_nm (Children's Report of Parental Behavioral Inventory [Youth] (Caregiver B): Number missing)

• Summarized variables:

  • fc_y_crpbi__cg2_002

  • fc_y_crpbi__cg2_003

  • fc_y_crpbi__cg2_004

  • fc_y_crpbi__cg2_005

  • fc_y_crpbi__cg2_006

• Excluded values: none

Usage

compute_fc_y_crpbi__cg2_nm(data, name = "fc_y_crpbi__cg2_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_crpbi__cg2_mean()

Compute all the fc_y_crpbi summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_crpbi_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_crpbi_all(data)

## End(Not run)

Compute "Experiences with Unfair Treatment [Youth] (Ethnicity): Number missing"

Description

Computes the summary score fc_y_eut__ethn_nm (Experiences with Unfair Treatment [Youth] (Ethnicity): Number missing)

• Summarized variables:

  • fc_y_eut__ethn_001a

  • fc_y_eut__ethn_001b

  • fc_y_eut__ethn_001c

  • fc_y_eut__ethn_001d

  • fc_y_eut__ethn_002

  • fc_y_eut__ethn_003a

  • fc_y_eut__ethn_003b

  • fc_y_eut__ethn_003c

• Excluded values:

  • 444

  • 777

  • 999

Usage

compute_fc_y_eut__ethn_nm(data, name = "fc_y_eut__ethn_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_eut__ethn_mean()

Compute all the fc_y_eut summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_eut_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_eut_all(data)

## End(Not run)

Compute "Family Environment Scale [Youth] (Cohesion): Number missing"

Description

Computes the summary score fc_y_fes__cohes_nm (Family Environment Scale [Youth] (Cohesion): Number missing)

• Summarized variables:

  • fc_y_fes__cohes_001

  • fc_y_fes__cohes_002

  • fc_y_fes__cohes_003

  • fc_y_fes__cohes_004

  • fc_y_fes__cohes_005

  • fc_y_fes__cohes_006

  • fc_y_fes__cohes_007

  • fc_y_fes__cohes_008

  • fc_y_fes__cohes_009

• Excluded values: none

Usage

compute_fc_y_fes__cohes_nm(data, name = "fc_y_fes__cohes_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_fes__cohes_mean()

Compute "Family Environment Scale [Youth] (Conflict): Number missing"

Description

Computes the summary score fc_y_fes__confl_nm (Family Environment Scale [Youth] (Conflict): Number missing)

• Summarized variables:

  • fc_y_fes__confl_001

  • fc_y_fes__confl_002

  • fc_y_fes__confl_003

  • fc_y_fes__confl_004

  • fc_y_fes__confl_005

  • fc_y_fes__confl_006

  • fc_y_fes__confl_007

  • fc_y_fes__confl_008

  • fc_y_fes__confl_009

• Excluded values: none

Usage

compute_fc_y_fes__confl_nm(data, name = "fc_y_fes__confl_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_fes__confl_mean()

Compute all the fc_y_fes summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_fes_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_fes_all(data)

## End(Not run)

Compute "The Multigroup Ethnic Identity Measure-Revised [Youth] (Commitment and attachment): Number missing"

Description

Computes the summary score fc_y_meim__commattach_nm (The Multigroup Ethnic Identity Measure-Revised [Youth] (Commitment and attachment): Number missing)

• Summarized variables:

  • fc_y_meim__commattach_001

  • fc_y_meim__commattach_002

  • fc_y_meim__commattach_003

• Excluded values: none

Usage

compute_fc_y_meim__commattach_nm(
  data,
  name = "fc_y_meim__commattach_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_meim__commattach_mean()

Compute "The Multigroup Ethnic Identity Measure-Revised [Youth] (Exploration): Number missing"

Description

Computes the summary score fc_y_meim__explor_nm (The Multigroup Ethnic Identity Measure-Revised [Youth] (Exploration): Number missing)

• Summarized variables:

  • fc_y_meim__explor_001

  • fc_y_meim__explor_002

  • fc_y_meim__explor_003

• Excluded values: none

Usage

compute_fc_y_meim__explor_nm(
  data,
  name = "fc_y_meim__explor_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_meim__explor_mean()

Compute all the fc_y_meim summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_meim_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_meim_all(data)

## End(Not run)

Compute "The Multigroup Ethnic Identity Measure-Revised [Youth]: Number missing"

Description

Computes the summary score fc_y_meim_nm (The Multigroup Ethnic Identity Measure-Revised [Youth]: Number missing)

• Summarized variables:

  • fc_y_meim__commattach_001

  • fc_y_meim__commattach_002

  • fc_y_meim__commattach_003

  • fc_y_meim__explor_001

  • fc_y_meim__explor_002

  • fc_y_meim__explor_003

• Excluded values: none

Usage

compute_fc_y_meim_nm(data, name = "fc_y_meim_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_meim_mean()

Compute "Multidimensional Neglectful Behavior Scale [Youth] (Education support): Number missing"

Description

Computes the summary score fc_y_mnbs__edusupp_nm (Multidimensional Neglectful Behavior Scale [Youth] (Education support): Number missing)

• Summarized variables:

  • fc_y_mnbs__edusupp_001

  • fc_y_mnbs__edusupp_002

  • fc_y_mnbs__edusupp_003

• Excluded values:

  • 777

Usage

compute_fc_y_mnbs__edusupp_nm(
  data,
  name = "fc_y_mnbs__edusupp_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_mnbs__edusupp_mean()

Compute "Multidimensional Neglectful Behavior Scale [Youth] (Supervision): Number missing"

Description

Computes the summary score fc_y_mnbs__superv_nm (Multidimensional Neglectful Behavior Scale [Youth] (Supervision): Number missing)

• Summarized variables:

  • fc_y_mnbs__superv_001

  • fc_y_mnbs__superv_002

  • fc_y_mnbs__superv_003

  • fc_y_mnbs__superv_004

  • fc_y_mnbs__superv_005

• Excluded values:

  • 777

Usage

compute_fc_y_mnbs__superv_nm(
  data,
  name = "fc_y_mnbs__superv_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_mnbs__superv_mean()

Compute all the fc_y_mnbs summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_mnbs_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_mnbs_all(data)

## End(Not run)

Compute "Multidimensional Neglectful Behavior Scale [Youth]: Number missing"

Description

Computes the summary score fc_y_mnbs_nm (Multidimensional Neglectful Behavior Scale [Youth]: Number missing)

• Summarized variables:

  • fc_y_mnbs__edusupp_001

  • fc_y_mnbs__edusupp_002

  • fc_y_mnbs__edusupp_003

  • fc_y_mnbs__superv_001

  • fc_y_mnbs__superv_002

  • fc_y_mnbs__superv_003

  • fc_y_mnbs__superv_004

  • fc_y_mnbs__superv_005

• Excluded values:

  • 777

Usage

compute_fc_y_mnbs_nm(data, name = "fc_y_mnbs_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_mnbs_mean()

Compute all the fc_y_pm summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_pm_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_pm_all(data)

## End(Not run)

Compute "Parental Monitoring [Youth]: Number missing"

Description

Computes the summary score fc_y_pm_nm (Parental Monitoring [Youth]: Number missing)

• Summarized variables:

  • fc_y_pm_001

  • fc_y_pm_002

  • fc_y_pm_003

  • fc_y_pm_004

  • fc_y_pm_005

• Excluded values:

  • 777

Usage

compute_fc_y_pm_nm(data, name = "fc_y_pm_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_pm_mean()

Compute all the fc_y_pnh summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_pnh_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_pnh_all(data)

## End(Not run)

Compute "Peer Network Health [Youth]: Number missing"

Description

Computes the summary score fc_y_pnh_nm (Peer Network Health [Youth]: Number missing)

• Summarized variables:

  • fc_y_pnh_001

  • fc_y_pnh_002

  • fc_y_pnh_002__01

  • fc_y_pnh_003

  • fc_y_pnh_003__01

• Excluded values: none

Usage

compute_fc_y_pnh_nm(data, name = "fc_y_pnh_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_pnh_sum()

Compute all the fc_y_psb summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_psb_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_psb_all(data)

## End(Not run)

Compute "Prosocial Behavior [Youth]: Number missing"

Description

Computes the summary score fc_y_psb_nm (Prosocial Behavior [Youth]: Number missing)

• Summarized variables:

  • fc_y_psb_001

  • fc_y_psb_002

  • fc_y_psb_003

• Excluded values: none

Usage

compute_fc_y_psb_nm(data, name = "fc_y_psb_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_psb_mean()

Compute all the fc_y_rpi summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_rpi_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_rpi_all(data)

## End(Not run)

Compute "Resistance to Peer Influence [Youth]: Number missing"

Description

Computes the summary score fc_y_rpi_nm (Resistance to Peer Influence [Youth]: Number missing)

• Summarized variables:

  • fc_y_rpi_001

  • fc_y_rpi_002

  • fc_y_rpi_003

  • fc_y_rpi_004

  • fc_y_rpi_005

  • fc_y_rpi_006

  • fc_y_rpi_007

  • fc_y_rpi_008

  • fc_y_rpi_009

  • fc_y_rpi_010

• Excluded values: none

Usage

compute_fc_y_rpi_nm(data, name = "fc_y_rpi_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_rpi_mean()

Compute "School Risk & Protective Factors [Youth] (School disengagement): Number missing"

Description

Computes the summary score fc_y_srpf__dis_nm (School Risk & Protective Factors [Youth] (School disengagement): Number missing)

• Summarized variables:

  • fc_y_srpf__dis_001

  • fc_y_srpf__dis_002

• Excluded values: none

Usage

compute_fc_y_srpf__dis_nm(data, name = "fc_y_srpf__dis_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_srpf__dis_mean()

Compute "School Risk & Protective Factors [Youth] (School environment): Number missing"

Description

Computes the summary score fc_y_srpf__env_nm (School Risk & Protective Factors [Youth] (School environment): Number missing)

• Summarized variables:

  • fc_y_srpf__env_001

  • fc_y_srpf__env_002

  • fc_y_srpf__env_003

  • fc_y_srpf__env_004

  • fc_y_srpf__env_005

  • fc_y_srpf__env_006

• Excluded values: none

Usage

compute_fc_y_srpf__env_nm(data, name = "fc_y_srpf__env_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_srpf__env_mean()

Compute "School Risk & Protective Factors [Youth] (School involvement): Number missing"

Description

Computes the summary score fc_y_srpf__involv_nm (School Risk & Protective Factors [Youth] (School involvement): Number missing)

• Summarized variables:

  • fc_y_srpf__involv_001

  • fc_y_srpf__involv_002

  • fc_y_srpf__involv_003

  • fc_y_srpf__involv_004

• Excluded values: none

Usage

compute_fc_y_srpf__involv_nm(
  data,
  name = "fc_y_srpf__involv_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_srpf__involv_mean()

Compute all the fc_y_srpf summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_srpf_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_srpf_all(data)

## End(Not run)

Compute "Values Scale [Youth] (Independence and self-reliance): Number missing"

Description

Computes the summary score fc_y_vs__indselfrel_nm (Values Scale [Youth] (Independence and self-reliance): Number missing)

• Summarized variables:

  • fc_y_vs__indselfrel_001

  • fc_y_vs__indselfrel_002

  • fc_y_vs__indselfrel_003

  • fc_y_vs__indselfrel_004

  • fc_y_vs__indselfrel_005

• Excluded values: none

Usage

compute_fc_y_vs__indselfrel_nm(
  data,
  name = "fc_y_vs__indselfrel_nm",
  combine = TRUE
)

Arguments

Value

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

See Also

compute_fc_y_vs__indselfrel_mean()

Compute "Values Scale [Youth] (Family obligation): Number missing"

Description

Computes the summary score fc_y_vs__obl_nm (Values Scale [Youth] (Family obligation): Number missing)

• Summarized variables:

  • fc_y_vs__obl_001

  • fc_y_vs__obl_002

  • fc_y_vs__obl_003

  • fc_y_vs__obl_004

  • fc_y_vs__obl_005

• Excluded values: none

Usage

compute_fc_y_vs__obl_nm(data, name = "fc_y_vs__obl_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_vs__obl_mean()

Compute "Values Scale [Youth] (Family as referent): Number missing"

Description

Computes the summary score fc_y_vs__ref_nm (Values Scale [Youth] (Family as referent): Number missing)

• Summarized variables:

  • fc_y_vs__ref_001

  • fc_y_vs__ref_002

  • fc_y_vs__ref_003

  • fc_y_vs__ref_004

  • fc_y_vs__ref_005

• Excluded values: none

Usage

compute_fc_y_vs__ref_nm(data, name = "fc_y_vs__ref_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_vs__ref_mean()

Compute "Values Scale [Youth] (Religion): Number missing"

Description

Computes the summary score fc_y_vs__relig_nm (Values Scale [Youth] (Religion): Number missing)

• Summarized variables:

  • fc_y_vs__relig_001

  • fc_y_vs__relig_002

  • fc_y_vs__relig_003

  • fc_y_vs__relig_004

  • fc_y_vs__relig_005

  • fc_y_vs__relig_006

  • fc_y_vs__relig_007

• Excluded values: none

Usage

compute_fc_y_vs__relig_nm(data, name = "fc_y_vs__relig_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_vs__relig_mean()

Compute "Values Scale [Youth] (Family support): Number missing"

Description

Computes the summary score fc_y_vs__supp_nm (Values Scale [Youth] (Family support): Number missing)

• Summarized variables:

  • fc_y_vs__supp_001

  • fc_y_vs__supp_002

  • fc_y_vs__supp_003

  • fc_y_vs__supp_004

  • fc_y_vs__supp_005

  • fc_y_vs__supp_006

• Excluded values: none

Usage

compute_fc_y_vs__supp_nm(data, name = "fc_y_vs__supp_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_vs__supp_mean()

Compute all the fc_y_vs summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_vs_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_vs_all(data)

## End(Not run)

Compute all the fc_y_wpss summary scores

Description

This is a high-level function that computes all summary scores in this table. Make sure the data contains all the necessary columns.

Usage

compute_fc_y_wpss_all(data)

Arguments

Value

tbl. The input data frame with the summary scores appended as new columns.

Examples

## Not run: 
compute_fc_y_wpss_all(data)

## End(Not run)

Compute "Wills Problem Solving Scale [Youth]: Number missing"

Description

Computes the summary score fc_y_wpss_nm (Wills Problem Solving Scale [Youth]: Number missing)

• Summarized variables:

  • fc_y_wpss_001

  • fc_y_wpss_002

  • fc_y_wpss_003

  • fc_y_wpss_004

  • fc_y_wpss_005

  • fc_y_wpss_006

• Excluded values: none

Usage

compute_fc_y_wpss_nm(data, name = "fc_y_wpss_nm", combine = TRUE)

Arguments

Value

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

See Also

compute_fc_y_wpss_mean()

Compute "Adult Behavior Checklist [Parent] (Adaptive Functioning Scale - Friends): Sum"

Description

Computes the summary score mh_p_abcl__afs__frnd_sum Adult Behavior Checklist [Parent] (Adaptive Functioning Scale - Friends): Sum

• Summarized variables:

  • mh_p_abcl__frnd_001

  • mh_p_abcl__frnd_002

  • mh_p_abcl__frnd_003

  • mh_p_abcl__frnd_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 4 items missing

Usage

compute_mh_p_abcl__afs__frnd_sum(
  data,
  name = "mh_p_abcl__afs__frnd_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__afs__frnd_nm()

Examples

## Not run: 
compute_mh_p_abcl__afs__frnd_sum(data) |>
  select(
    any_of(c("mh_p_abcl__afs__frnd_sum", vars_mh_p_abcl__afs__frnd))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Adaptive Functioning Scale - Friends): T-score"

Description

Computes the summary score mh_p_abcl__afs__frnd_tscore Adult Behavior Checklist [Parent] (Adaptive Functioning Scale - Friends): T-score

• Summarized variables:

  • mh_p_abcl__frnd_001

  • mh_p_abcl__frnd_002

  • mh_p_abcl__frnd_003

  • mh_p_abcl__frnd_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 4 items missing

Usage

compute_mh_p_abcl__afs__frnd_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__afs__frnd_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__afs__frnd_nm()

Examples

## Not run: 
compute_mh_p_abcl__afs__frnd_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__afs__frnd_tscore", vars_mh_p_abcl__afs__frnd))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Critical items): Sum"

Description

Computes the summary score mh_p_abcl__critic_sum Adult Behavior Checklist [Parent] (Critical items): Sum

• Summarized variables:

  • mh_p_abcl__rule_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__tho_001

  • mh_p_abcl__othpr__adhd_001

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__tho__dep_001

  • mh_p_abcl__othpr__antsoc_001

  • mh_p_abcl__tho_002

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__tho_003

  • mh_p_abcl__tho_004

  • mh_p_abcl__tho_006

  • mh_p_abcl__rule_002

  • mh_p_abcl__tho__dep_002

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__anxdep__dep_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 19 items missing

Usage

compute_mh_p_abcl__critic_sum(
  data,
  name = "mh_p_abcl__critic_sum",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__critic_nm()

Examples

## Not run: 
compute_mh_p_abcl__critic_sum(data) |>
  select(
    any_of(c("mh_p_abcl__critic_sum", vars_mh_p_abcl__critic))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Critical items): T-score"

Description

Computes the summary score mh_p_abcl__critic_tscore Adult Behavior Checklist [Parent] (Critical items): T-score

• Summarized variables:

  • mh_p_abcl__rule_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__tho_001

  • mh_p_abcl__othpr__adhd_001

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__tho__dep_001

  • mh_p_abcl__othpr__antsoc_001

  • mh_p_abcl__tho_002

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__tho_003

  • mh_p_abcl__tho_004

  • mh_p_abcl__tho_006

  • mh_p_abcl__rule_002

  • mh_p_abcl__tho__dep_002

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__anxdep__dep_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 19 items missing

Usage

compute_mh_p_abcl__critic_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__critic_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__critic_nm()

Examples

## Not run: 
compute_mh_p_abcl__critic_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__critic_tscore", vars_mh_p_abcl__critic))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - ADHD): Sum"

Description

Computes the summary score mh_p_abcl__dsm__adhd_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - ADHD): Sum

• Summarized variables:

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__attn__adhd_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__attn__adhd_003

  • mh_p_abcl__attn__adhd_004

  • mh_p_abcl__attn__adhd_005

  • mh_p_abcl__attn__adhd_006

  • mh_p_abcl__attn__adhd_007

  • mh_p_abcl__othpr__adhd_001

  • mh_p_abcl__othpr__adhd_002

  • mh_p_abcl__othpr__adhd_003

  • mh_p_abcl__othpr__adhd_004

  • mh_p_abcl__rule__adhd_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 13 items missing

Usage

compute_mh_p_abcl__dsm__adhd_sum(
  data,
  name = "mh_p_abcl__dsm__adhd_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__adhd_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__adhd_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__adhd_sum", vars_mh_p_abcl__dsm__adhd))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - ADHD): T-score"

Description

Computes the summary score mh_p_abcl__dsm__adhd_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - ADHD): T-score

• Summarized variables:

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__attn__adhd_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__attn__adhd_003

  • mh_p_abcl__attn__adhd_004

  • mh_p_abcl__attn__adhd_005

  • mh_p_abcl__attn__adhd_006

  • mh_p_abcl__attn__adhd_007

  • mh_p_abcl__othpr__adhd_001

  • mh_p_abcl__othpr__adhd_002

  • mh_p_abcl__othpr__adhd_003

  • mh_p_abcl__othpr__adhd_004

  • mh_p_abcl__rule__adhd_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 13 items missing

Usage

compute_mh_p_abcl__dsm__adhd_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__adhd_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__adhd_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__adhd_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__adhd_tscore", vars_mh_p_abcl__dsm__adhd))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Antisocial personality problems): Sum"

Description

Computes the summary score mh_p_abcl__dsm__antsoc_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Antisocial personality problems): Sum

• Summarized variables:

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__attn__antsoc_001

  • mh_p_abcl__othpr__antsoc_001

  • mh_p_abcl__othpr__antsoc_002

  • mh_p_abcl__rule__antsoc_001

  • mh_p_abcl__rule__antsoc_002

  • mh_p_abcl__rule__antsoc_003

  • mh_p_abcl__rule__antsoc_004

  • mh_p_abcl__rule__antsoc_005

  • mh_p_abcl__rule__antsoc_006

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__rule__antsoc_008

  • mh_p_abcl__rule__antsoc_009

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 20 items missing

Usage

compute_mh_p_abcl__dsm__antsoc_sum(
  data,
  name = "mh_p_abcl__dsm__antsoc_sum",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__antsoc_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__antsoc_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__antsoc_sum", vars_mh_p_abcl__dsm__antsoc))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Antisocial personality problems): T-score"

Description

Computes the summary score mh_p_abcl__dsm__antsoc_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Antisocial personality problems): T-score

• Summarized variables:

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__attn__antsoc_001

  • mh_p_abcl__othpr__antsoc_001

  • mh_p_abcl__othpr__antsoc_002

  • mh_p_abcl__rule__antsoc_001

  • mh_p_abcl__rule__antsoc_002

  • mh_p_abcl__rule__antsoc_003

  • mh_p_abcl__rule__antsoc_004

  • mh_p_abcl__rule__antsoc_005

  • mh_p_abcl__rule__antsoc_006

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__rule__antsoc_008

  • mh_p_abcl__rule__antsoc_009

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 20 items missing

Usage

compute_mh_p_abcl__dsm__antsoc_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__antsoc_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__antsoc_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__antsoc_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__antsoc_tscore", vars_mh_p_abcl__dsm__antsoc))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Anxiety problems): Sum"

Description

Computes the summary score mh_p_abcl__dsm__anx_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Anxiety problems): Sum

• Summarized variables:

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__othpr__anx_001

  • mh_p_abcl__othpr__anx_002

  • mh_p_abcl__othpr__anx_003

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 6 items missing

Usage

compute_mh_p_abcl__dsm__anx_sum(
  data,
  name = "mh_p_abcl__dsm__anx_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__anx_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__anx_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__anx_sum", vars_mh_p_abcl__dsm__anx))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Anxiety problems): T-score"

Description

Computes the summary score mh_p_abcl__dsm__anx_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Anxiety problems): T-score

• Summarized variables:

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__othpr__anx_001

  • mh_p_abcl__othpr__anx_002

  • mh_p_abcl__othpr__anx_003

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 6 items missing

Usage

compute_mh_p_abcl__dsm__anx_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__anx_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__anx_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__anx_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__anx_tscore", vars_mh_p_abcl__dsm__anx))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Avoidant personality problems): Sum"

Description

Computes the summary score mh_p_abcl__dsm__avoid_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Avoidant personality problems): Sum

• Summarized variables:

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__othpr__avoid_001

  • mh_p_abcl__wthdr__avoid_001

  • mh_p_abcl__wthdr__avoid_002

  • mh_p_abcl__wthdr__avoid_003

  • mh_p_abcl__wthdr__avoid_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 7 items missing

Usage

compute_mh_p_abcl__dsm__avoid_sum(
  data,
  name = "mh_p_abcl__dsm__avoid_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__avoid_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__avoid_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__avoid_sum", vars_mh_p_abcl__dsm__avoid))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Avoidant personality problems): T-score"

Description

Computes the summary score mh_p_abcl__dsm__avoid_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Avoidant personality problems): T-score

• Summarized variables:

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__othpr__avoid_001

  • mh_p_abcl__wthdr__avoid_001

  • mh_p_abcl__wthdr__avoid_002

  • mh_p_abcl__wthdr__avoid_003

  • mh_p_abcl__wthdr__avoid_004

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 7 items missing

Usage

compute_mh_p_abcl__dsm__avoid_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__avoid_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__avoid_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__avoid_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__avoid_tscore", vars_mh_p_abcl__dsm__avoid))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Depressive problems): Sum"

Description

Computes the summary score mh_p_abcl__dsm__dep_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Depressive problems): Sum

• Summarized variables:

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

  • mh_p_abcl__attn__dep_001

  • mh_p_abcl__attn__dep_002

  • mh_p_abcl__attn__dep_003

  • mh_p_abcl__othpr__dep_001

  • mh_p_abcl__othpr__dep_002

  • mh_p_abcl__othpr__dep_003

  • mh_p_abcl__som__dep_001

  • mh_p_abcl__tho__dep_001

  • mh_p_abcl__tho__dep_002

  • mh_p_abcl__wthdr__dep_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 15 items missing

Usage

compute_mh_p_abcl__dsm__dep_sum(
  data,
  name = "mh_p_abcl__dsm__dep_sum",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__dep_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__dep_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__dep_sum", vars_mh_p_abcl__dsm__dep))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Depressive problems): T-score"

Description

Computes the summary score mh_p_abcl__dsm__dep_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Depressive problems): T-score

• Summarized variables:

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

  • mh_p_abcl__attn__dep_001

  • mh_p_abcl__attn__dep_002

  • mh_p_abcl__attn__dep_003

  • mh_p_abcl__othpr__dep_001

  • mh_p_abcl__othpr__dep_002

  • mh_p_abcl__othpr__dep_003

  • mh_p_abcl__som__dep_001

  • mh_p_abcl__tho__dep_001

  • mh_p_abcl__tho__dep_002

  • mh_p_abcl__wthdr__dep_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 15 items missing

Usage

compute_mh_p_abcl__dsm__dep_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__dep_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__dep_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__dep_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__dep_tscore", vars_mh_p_abcl__dsm__dep))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Somatic complaints): Sum"

Description

Computes the summary score mh_p_abcl__dsm__somat_sum Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Somatic complaints): Sum

• Summarized variables:

  • mh_p_abcl__som__somat_001

  • mh_p_abcl__som__somat_002

  • mh_p_abcl__som__somat_003

  • mh_p_abcl__som__somat_004

  • mh_p_abcl__som__somat_005

  • mh_p_abcl__som__somat_006

  • mh_p_abcl__som__somat_007

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 7 items missing

Usage

compute_mh_p_abcl__dsm__somat_sum(
  data,
  name = "mh_p_abcl__dsm__somat_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__somat_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__somat_sum(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__somat_sum", vars_mh_p_abcl__dsm__somat))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Somatic complaints): T-score"

Description

Computes the summary score mh_p_abcl__dsm__somat_tscore Adult Behavior Checklist [Parent] (DSM-5 Oriented Scale - Somatic complaints): T-score

• Summarized variables:

  • mh_p_abcl__som__somat_001

  • mh_p_abcl__som__somat_002

  • mh_p_abcl__som__somat_003

  • mh_p_abcl__som__somat_004

  • mh_p_abcl__som__somat_005

  • mh_p_abcl__som__somat_006

  • mh_p_abcl__som__somat_007

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 7 items missing

Usage

compute_mh_p_abcl__dsm__somat_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__dsm__somat_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__dsm__somat_nm()

Examples

## Not run: 
compute_mh_p_abcl__dsm__somat_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__dsm__somat_tscore", vars_mh_p_abcl__dsm__somat))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Days drug use): Sum"

Description

Computes the summary score mh_p_abcl__su__drg_sum Adult Behavior Checklist [Parent] (Days drug use): Sum

• Summarized variables:

  • mh_p_abcl__drg_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__drg_sum(
  data,
  name = "mh_p_abcl__su__drg_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__drg_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__drg_sum(data) |>
  select(
    any_of(c("mh_p_abcl__su__drg_sum", vars_mh_p_abcl__su__drg))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Days drug use): T-score"

Description

Computes the summary score mh_p_abcl__su__drg_tscore Adult Behavior Checklist [Parent] (Days drug use): T-score

• Summarized variables:

  • mh_p_abcl__drg_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__drg_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__su__drg_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__drg_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__drg_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__su__drg_tscore", vars_mh_p_abcl__su__drg))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Days Drunk): Sum"

Description

Computes the summary score mh_p_abcl__su__drunk_sum Adult Behavior Checklist [Parent] (Days Drunk): Sum

• Summarized variables:

  • mh_p_abcl__drunk_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__drunk_sum(
  data,
  name = "mh_p_abcl__su__drunk_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__drunk_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__drunk_sum(data) |>
  select(
    any_of(c("mh_p_abcl__su__drunk_sum", vars_mh_p_abcl__su__drunk))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Days Drunk): T-score"

Description

Computes the summary score mh_p_abcl__su__drunk_tscore Adult Behavior Checklist [Parent] (Days Drunk): T-score

• Summarized variables:

  • mh_p_abcl__drunk_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__drunk_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__su__drunk_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__drunk_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__drunk_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__su__drunk_tscore", vars_mh_p_abcl__su__drunk))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Tobacco per day): Sum"

Description

Computes the summary score mh_p_abcl__su__nic_sum Adult Behavior Checklist [Parent] (Tobacco per day): Sum

• Summarized variables:

  • mh_p_abcl__nic_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__nic_sum(
  data,
  name = "mh_p_abcl__su__nic_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__nic_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__nic_sum(data) |>
  select(
    any_of(c("mh_p_abcl__su__nic_sum", vars_mh_p_abcl__su__nic))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Tobacco per day): T-score"

Description

Computes the summary score mh_p_abcl__su__nic_tscore Adult Behavior Checklist [Parent] (Tobacco per day): T-score

• Summarized variables:

  • mh_p_abcl__nic_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 1 items missing

Usage

compute_mh_p_abcl__su__nic_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__su__nic_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su__nic_nm()

Examples

## Not run: 
compute_mh_p_abcl__su__nic_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__su__nic_tscore", vars_mh_p_abcl__su__nic))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Substance use): Sum"

Description

Computes the summary score mh_p_abcl__su_sum Adult Behavior Checklist [Parent] (Substance use): Sum

• Summarized variables:

  • mh_p_abcl__drg_001

  • mh_p_abcl__drunk_001

  • mh_p_abcl__nic_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 3 items missing

Usage

compute_mh_p_abcl__su_sum(
  data,
  name = "mh_p_abcl__su_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su_nm()

Examples

## Not run: 
compute_mh_p_abcl__su_sum(data) |>
  select(
    any_of(c("mh_p_abcl__su_sum", vars_mh_p_abcl__su))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Substance use): T-score"

Description

Computes the summary score mh_p_abcl__su_tscore Adult Behavior Checklist [Parent] (Substance use): T-score

• Summarized variables:

  • mh_p_abcl__drg_001

  • mh_p_abcl__drunk_001

  • mh_p_abcl__nic_001

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 3 items missing

Usage

compute_mh_p_abcl__su_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__su_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__su_nm()

Examples

## Not run: 
compute_mh_p_abcl__su_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__su_tscore", vars_mh_p_abcl__su))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Aggressive behavior): Sum"

Description

Computes the summary score mh_p_abcl__synd__aggr_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Aggressive behavior): Sum

• Summarized variables:

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr_002

  • mh_p_abcl__aggr_003

  • mh_p_abcl__aggr_004

  • mh_p_abcl__aggr_005

  • mh_p_abcl__aggr_006

  • mh_p_abcl__aggr_007

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 16 items missing

Usage

compute_mh_p_abcl__synd__aggr_sum(
  data,
  name = "mh_p_abcl__synd__aggr_sum",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__aggr_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__aggr_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__aggr_sum", vars_mh_p_abcl__synd__aggr))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Aggressive behavior): T-score"

Description

Computes the summary score mh_p_abcl__synd__aggr_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Aggressive behavior): T-score

• Summarized variables:

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr_002

  • mh_p_abcl__aggr_003

  • mh_p_abcl__aggr_004

  • mh_p_abcl__aggr_005

  • mh_p_abcl__aggr_006

  • mh_p_abcl__aggr_007

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 16 items missing

Usage

compute_mh_p_abcl__synd__aggr_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__aggr_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__aggr_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__aggr_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__aggr_tscore", vars_mh_p_abcl__synd__aggr))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Anxious/Depressed): Sum"

Description

Computes the summary score mh_p_abcl__synd__anxdep_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Anxious/Depressed): Sum

• Summarized variables:

  • mh_p_abcl__anxdep_001

  • mh_p_abcl__anxdep_002

  • mh_p_abcl__anxdep_003

  • mh_p_abcl__anxdep_004

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 14 items missing

Usage

compute_mh_p_abcl__synd__anxdep_sum(
  data,
  name = "mh_p_abcl__synd__anxdep_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__anxdep_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__anxdep_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__anxdep_sum", vars_mh_p_abcl__synd__anxdep))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Anxious/Depressed): T-score"

Description

Computes the summary score mh_p_abcl__synd__anxdep_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Anxious/Depressed): T-score

• Summarized variables:

  • mh_p_abcl__anxdep_001

  • mh_p_abcl__anxdep_002

  • mh_p_abcl__anxdep_003

  • mh_p_abcl__anxdep_004

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 14 items missing

Usage

compute_mh_p_abcl__synd__anxdep_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__anxdep_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__anxdep_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__anxdep_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__anxdep_tscore", vars_mh_p_abcl__synd__anxdep))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Attention problems): Sum"

Description

Computes the summary score mh_p_abcl__synd__attn_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Attention problems): Sum

• Summarized variables:

  • mh_p_abcl__attn_001

  • mh_p_abcl__attn_002

  • mh_p_abcl__attn_003

  • mh_p_abcl__attn_004

  • mh_p_abcl__attn_005

  • mh_p_abcl__attn_006

  • mh_p_abcl__attn__adhd_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__attn__adhd_003

  • mh_p_abcl__attn__adhd_004

  • mh_p_abcl__attn__adhd_005

  • mh_p_abcl__attn__adhd_006

  • mh_p_abcl__attn__adhd_007

  • mh_p_abcl__attn__antsoc_001

  • mh_p_abcl__attn__dep_001

  • mh_p_abcl__attn__dep_002

  • mh_p_abcl__attn__dep_003

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 17 items missing

Usage

compute_mh_p_abcl__synd__attn_sum(
  data,
  name = "mh_p_abcl__synd__attn_sum",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__attn_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__attn_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__attn_sum", vars_mh_p_abcl__synd__attn))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Attention problems): T-score"

Description

Computes the summary score mh_p_abcl__synd__attn_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Attention problems): T-score

• Summarized variables:

  • mh_p_abcl__attn_001

  • mh_p_abcl__attn_002

  • mh_p_abcl__attn_003

  • mh_p_abcl__attn_004

  • mh_p_abcl__attn_005

  • mh_p_abcl__attn_006

  • mh_p_abcl__attn__adhd_001

  • mh_p_abcl__attn__adhd_002

  • mh_p_abcl__attn__adhd_003

  • mh_p_abcl__attn__adhd_004

  • mh_p_abcl__attn__adhd_005

  • mh_p_abcl__attn__adhd_006

  • mh_p_abcl__attn__adhd_007

  • mh_p_abcl__attn__antsoc_001

  • mh_p_abcl__attn__dep_001

  • mh_p_abcl__attn__dep_002

  • mh_p_abcl__attn__dep_003

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 17 items missing

Usage

compute_mh_p_abcl__synd__attn_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__attn_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__attn_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__attn_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__attn_tscore", vars_mh_p_abcl__synd__attn))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - External): Sum"

Description

Computes the summary score mh_p_abcl__synd__ext_sum Adult Behavior Checklist [Parent] (Syndrome Scale - External): Sum

• Summarized variables:

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr_002

  • mh_p_abcl__aggr_003

  • mh_p_abcl__aggr_004

  • mh_p_abcl__aggr_005

  • mh_p_abcl__aggr_006

  • mh_p_abcl__aggr_007

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__rule_001

  • mh_p_abcl__rule_002

  • mh_p_abcl__rule_003

  • mh_p_abcl__rule__adhd_001

  • mh_p_abcl__rule__antsoc_001

  • mh_p_abcl__rule__antsoc_002

  • mh_p_abcl__rule__antsoc_003

  • mh_p_abcl__rule__antsoc_004

  • mh_p_abcl__rule__antsoc_005

  • mh_p_abcl__rule__antsoc_006

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__rule__antsoc_008

  • mh_p_abcl__rule__antsoc_009

  • mh_p_abcl__intru_001

  • mh_p_abcl__intru_002

  • mh_p_abcl__intru_003

  • mh_p_abcl__intru_004

  • mh_p_abcl__intru_005

  • mh_p_abcl__intru_006

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 2 of 35 items missing

Usage

compute_mh_p_abcl__synd__ext_sum(
  data,
  name = "mh_p_abcl__synd__ext_sum",
  max_na = 2,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__ext_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__ext_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__ext_sum", vars_mh_p_abcl__synd__ext))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - External): T-score"

Description

Computes the summary score mh_p_abcl__synd__ext_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - External): T-score

• Summarized variables:

  • mh_p_abcl__aggr_001

  • mh_p_abcl__aggr_002

  • mh_p_abcl__aggr_003

  • mh_p_abcl__aggr_004

  • mh_p_abcl__aggr_005

  • mh_p_abcl__aggr_006

  • mh_p_abcl__aggr_007

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_003

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_006

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__aggr__antsoc_008

  • mh_p_abcl__rule_001

  • mh_p_abcl__rule_002

  • mh_p_abcl__rule_003

  • mh_p_abcl__rule__adhd_001

  • mh_p_abcl__rule__antsoc_001

  • mh_p_abcl__rule__antsoc_002

  • mh_p_abcl__rule__antsoc_003

  • mh_p_abcl__rule__antsoc_004

  • mh_p_abcl__rule__antsoc_005

  • mh_p_abcl__rule__antsoc_006

  • mh_p_abcl__rule__antsoc_007

  • mh_p_abcl__rule__antsoc_008

  • mh_p_abcl__rule__antsoc_009

  • mh_p_abcl__intru_001

  • mh_p_abcl__intru_002

  • mh_p_abcl__intru_003

  • mh_p_abcl__intru_004

  • mh_p_abcl__intru_005

  • mh_p_abcl__intru_006

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 2 of 35 items missing

Usage

compute_mh_p_abcl__synd__ext_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__ext_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 2,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__ext_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__ext_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__ext_tscore", vars_mh_p_abcl__synd__ext))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Internalizing): Sum"

Description

Computes the summary score mh_p_abcl__synd__int_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Internalizing): Sum

• Summarized variables:

  • mh_p_abcl__anxdep_001

  • mh_p_abcl__anxdep_002

  • mh_p_abcl__anxdep_003

  • mh_p_abcl__anxdep_004

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

  • mh_p_abcl__wthdr_001

  • mh_p_abcl__wthdr_002

  • mh_p_abcl__wthdr_003

  • mh_p_abcl__wthdr_004

  • mh_p_abcl__wthdr__avoid_001

  • mh_p_abcl__wthdr__avoid_002

  • mh_p_abcl__wthdr__avoid_003

  • mh_p_abcl__wthdr__avoid_004

  • mh_p_abcl__wthdr__dep_001

  • mh_p_abcl__som_001

  • mh_p_abcl__som__dep_001

  • mh_p_abcl__som__somat_001

  • mh_p_abcl__som__somat_002

  • mh_p_abcl__som__somat_003

  • mh_p_abcl__som__somat_004

  • mh_p_abcl__som__somat_005

  • mh_p_abcl__som__somat_006

  • mh_p_abcl__som__somat_007

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 2 of 32 items missing

Usage

compute_mh_p_abcl__synd__int_sum(
  data,
  name = "mh_p_abcl__synd__int_sum",
  max_na = 2,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__int_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__int_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__int_sum", vars_mh_p_abcl__synd__int))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Internalizing): T-score"

Description

Computes the summary score mh_p_abcl__synd__int_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Internalizing): T-score

• Summarized variables:

  • mh_p_abcl__anxdep_001

  • mh_p_abcl__anxdep_002

  • mh_p_abcl__anxdep_003

  • mh_p_abcl__anxdep_004

  • mh_p_abcl__anxdep__anx_001

  • mh_p_abcl__anxdep__anx_002

  • mh_p_abcl__anxdep__anx_003

  • mh_p_abcl__anxdep__avoid_001

  • mh_p_abcl__anxdep__avoid_002

  • mh_p_abcl__anxdep__dep_001

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • mh_p_abcl__anxdep__dep_004

  • mh_p_abcl__anxdep__dep_005

  • mh_p_abcl__wthdr_001

  • mh_p_abcl__wthdr_002

  • mh_p_abcl__wthdr_003

  • mh_p_abcl__wthdr_004

  • mh_p_abcl__wthdr__avoid_001

  • mh_p_abcl__wthdr__avoid_002

  • mh_p_abcl__wthdr__avoid_003

  • mh_p_abcl__wthdr__avoid_004

  • mh_p_abcl__wthdr__dep_001

  • mh_p_abcl__som_001

  • mh_p_abcl__som__dep_001

  • mh_p_abcl__som__somat_001

  • mh_p_abcl__som__somat_002

  • mh_p_abcl__som__somat_003

  • mh_p_abcl__som__somat_004

  • mh_p_abcl__som__somat_005

  • mh_p_abcl__som__somat_006

  • mh_p_abcl__som__somat_007

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 2 of 32 items missing

Usage

compute_mh_p_abcl__synd__int_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__int_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 2,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__int_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__int_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__int_tscore", vars_mh_p_abcl__synd__int))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Intrusive): Sum"

Description

Computes the summary score mh_p_abcl__synd__intru_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Intrusive): Sum

• Summarized variables:

  • mh_p_abcl__intru_001

  • mh_p_abcl__intru_002

  • mh_p_abcl__intru_003

  • mh_p_abcl__intru_004

  • mh_p_abcl__intru_005

  • mh_p_abcl__intru_006

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 6 items missing

Usage

compute_mh_p_abcl__synd__intru_sum(
  data,
  name = "mh_p_abcl__synd__intru_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__intru_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__intru_sum(data) |>
  select(
    any_of(c("mh_p_abcl__synd__intru_sum", vars_mh_p_abcl__synd__intru))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Intrusive): T-score"

Description

Computes the summary score mh_p_abcl__synd__intru_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Intrusive): T-score

• Summarized variables:

  • mh_p_abcl__intru_001

  • mh_p_abcl__intru_002

  • mh_p_abcl__intru_003

  • mh_p_abcl__intru_004

  • mh_p_abcl__intru_005

  • mh_p_abcl__intru_006

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 0 of 6 items missing

Usage

compute_mh_p_abcl__synd__intru_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__intru_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

Value

tbl. see combine.

See Also

compute_mh_p_abcl__synd__intru_nm()

Examples

## Not run: 
compute_mh_p_abcl__synd__intru_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__intru_tscore", vars_mh_p_abcl__synd__intru))
  )

## End(Not run)

Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Other problems): Sum"

Description

Computes the summary score mh_p_abcl__synd__othpr_sum Adult Behavior Checklist [Parent] (Syndrome Scale - Other problems): Sum

• Summarized variables:

  • mh_p_abcl__othpr_001

  • mh_p_abcl__othpr_002

  • mh_p_abcl__othpr_003

  • mh_p_abcl__othpr_004

  • mh_p_abcl__othpr_005

  • mh_p_abcl__othpr_006

  • mh_p_abcl__othpr_007

  • mh_p_abcl__othpr_008

  • mh_p_abcl__othpr_009

  • mh_p_abcl__othpr_010

  • mh_p_abcl__othpr_011

  • mh_p_abcl__othpr_012

  • mh_p_abcl__othpr__adhd_001

  • mh_p_abcl__othpr__adhd_002

  • mh_p_abcl__othpr__adhd_003

  • mh_p_abcl__othpr__adhd_004

  • mh_p_abcl__othpr__antsoc_001

  • mh_p_abcl__othpr__antsoc_002

  • mh_p_abcl__othpr__anx_001

  • mh_p_abcl__othpr__anx_002

  • mh_p_abcl__othpr__anx_003

  • mh_p_abcl__othpr__avoid_001

  • mh_p_abcl__othpr__dep_001

  • mh_p_abcl__othpr__dep_002

  • mh_p_abcl__othpr__dep_003

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 1 of 25 items missing