adhd_pro_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...
- Completed
- Partial
- No data
About statuses
ALSPAC | BIB | 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 | unmapped |
adhd_pro_1 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | partial | unmapped | unmapped |
adhd_pro_2 | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | partial | unmapped | unmapped |
adhd_pro_3 | complete | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | complete | unmapped | unmapped | partial | unmapped | complete |
adhd_pro_4 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped | complete |
adhd_pro_5 | complete | unmapped | complete | unmapped | complete | complete | complete | unmapped | complete | unmapped | unmapped | complete | complete | complete |
adhd_pro_6 | complete | complete | unmapped | unmapped | complete | complete | complete | complete | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pro_7 | complete | complete | unmapped | complete | complete | unmapped | complete | complete | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pro_8 | complete | complete | unmapped | complete | complete | unmapped | complete | complete | complete | unmapped | unmapped | complete | complete | unmapped |
adhd_pro_9 | complete | complete | unmapped | unmapped | unmapped | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pro_10 | complete | complete | complete | unmapped | unmapped | unmapped | complete | complete | complete | unmapped | unmapped | unmapped | complete | unmapped |
adhd_pro_11 | complete | complete | complete | complete | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pro_12 | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhd_pro_13 | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | unmapped | complete | complete | complete | unmapped |
adhd_pro_14 | complete | complete | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | complete | unmapped | unmapped |
adhd_pro_15 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped |
adhd_pro_16 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped | unmapped | complete | unmapped |
adhd_pro_17 | complete | unmapped | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pro_18 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pro_19 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhd_pro_20 | unmapped | 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 | unmapped |
Harmonisation details per Cohort
Select a Cohort to see the details of the harmonisation...
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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