ABCDscores (version 6.1.0)

compute_mh_p_abcl_sum: 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
)

Value

tbl. see combine.

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.

See Also

compute_mh_p_abcl_nm()

Examples

if (FALSE) {
compute_mh_p_abcl_sum(data) |>
  select(
    any_of(c("mh_p_abcl_sum", vars_mh_p_abcl))
  )
}