adhd_pro_0

total ADHD score after prorating adhd_raw_0

total ADHD score after prorating adhd_raw_0...

Description

Format: continuous
N repeats: 21

Harmonisation status per Cohort

Overview of the harmonisation status per Cohort

Overview of the harmonisation status per Cohort...

Completed
Partial
No data

	ALSPAC	CHOP	DNBC	EDEN	ELFE	ELSPAC	GenR	INMA	NFBC1986	NINFEA	PELAGIE	RAINE	RHEA
adhd_pro_0	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_1	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	partial	unmapped	unmapped
adhd_pro_2	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	partial	unmapped	unmapped
adhd_pro_3	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped	partial	unmapped	complete
adhd_pro_4	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped	complete
adhd_pro_5	complete	complete	unmapped	complete	complete	complete	unmapped	complete	unmapped	unmapped	complete	complete	complete
adhd_pro_6	complete	unmapped	unmapped	complete	complete	complete	complete	complete	unmapped	unmapped	complete	unmapped	unmapped
adhd_pro_7	complete	unmapped	complete	complete	unmapped	complete	complete	complete	unmapped	unmapped	complete	unmapped	unmapped
adhd_pro_8	complete	unmapped	complete	complete	unmapped	complete	complete	complete	unmapped	unmapped	complete	complete	unmapped
adhd_pro_9	complete	unmapped	unmapped	unmapped	unmapped	complete	complete	complete	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_10	complete	complete	unmapped	unmapped	unmapped	complete	complete	complete	unmapped	unmapped	unmapped	complete	unmapped
adhd_pro_11	complete	complete	complete	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped
adhd_pro_12	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped
adhd_pro_13	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	complete	complete	unmapped
adhd_pro_14	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped
adhd_pro_15	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped
adhd_pro_16	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped
adhd_pro_17	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_18	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_19	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_20	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_pro_21	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped

Harmonisation details per Cohort

Select a Cohort to see the details of the harmonisation

Select a Cohort to see the details of the harmonisation...

ALSPAC

CHOP

DNBC

EDEN

ELFE

ELSPAC

GenR

INMA

NFBC1986

NINFEA

PELAGIE

RAINE

RHEA

Name: adhd_pro_0
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_1
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_2
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_3
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_4
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_5
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_6
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_7
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_8
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_9
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_10
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_11
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_12
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_13
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_14
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_15
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_16
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_17
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a pro-rated score is derived from these variables using the user-defined function "proRate", (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>% 
  mutate(
    adhd_pro_j = proRate(data = ., varlist = sdq_adhd_j.vars),
    adhd_pro_kq = proRate(data = ., varlist = sdq_adhd_kq.vars),
    adhd_pro_n = proRate(data = ., varlist = sdq_adhd_n.vars),
    adhd_pro_ku = proRate(data = ., varlist = sdq_adhd_ku.vars),
    adhd_pro_kw = proRate(data = ., varlist = sdq_adhd_kw.vars),
    adhd_pro_ta = proRate(data = ., varlist = sdq_adhd_ta.vars),
    adhd_pro_tc = proRate(data = ., varlist = sdq_adhd_tc.vars))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_pro", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_pro_18
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_19
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_20
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_pro_21
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None