compute_mh_p_abcl_sum: Compute "Adult Behavior Checklist [Parent]: Sum"

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

Compute "Adult Behavior Checklist [Parent]: Sum"

Description

Computes the summary score mh_p_abcl_sum Adult Behavior Checklist [Parent]: 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

  • mh_p_abcl__aggr__adhd_001

  • mh_p_abcl__attn__adhd_001

  • 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_002

  • mh_p_abcl__othpr__adhd_003

  • mh_p_abcl__othpr__adhd_004

  • mh_p_abcl__rule__adhd_001

  • mh_p_abcl__aggr__antsoc_001

  • mh_p_abcl__aggr__antsoc_002

  • mh_p_abcl__aggr__antsoc_004

  • mh_p_abcl__aggr__antsoc_005

  • mh_p_abcl__aggr__antsoc_007

  • mh_p_abcl__attn__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_008

  • mh_p_abcl__rule__antsoc_009

  • 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

  • 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

  • mh_p_abcl__anxdep__dep_002

  • mh_p_abcl__anxdep__dep_003

  • 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__wthdr__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

  • 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__anxdep_001

  • mh_p_abcl__anxdep_002

  • mh_p_abcl__anxdep_003

  • mh_p_abcl__anxdep_004

  • 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__rule_003

  • 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

  • mh_p_abcl__wthdr_001

  • mh_p_abcl__wthdr_002

  • mh_p_abcl__wthdr_003

  • mh_p_abcl__wthdr_004

  • mh_p_abcl__som_001

  • 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__tho_005

  • mh_p_abcl__tho_007

• Excluded values:

  • 777

  • 999

• Validation criterion: maximally 8 of 118 items missing

Usage

compute_mh_p_abcl_sum(
  data,
  name = "mh_p_abcl_sum",
  max_na = 8,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

data	tbl. Data frame containing the columns to be summarized.
name	character. Name of the summary score column.
max_na	numeric, positive whole number. Number of missing items allowed. NULL means no limit.
exclude	character vector. Values to be excluded from the summary score.
combine	logical. If TRUE (default), the summary score is is appended as a new column to the input data frame. If FALSE, the summary score is returned as a separate one-column data frame.

Value

tbl. see combine.

See Also

compute_mh_p_abcl_nm()

Examples

## Not run: 
compute_mh_p_abcl_sum(data) |>
  select(
    any_of(c("mh_p_abcl_sum", vars_mh_p_abcl))
  )

## End(Not run)

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