CPP imputation codebook.pdf - Google Drive

CPP Multiple Imputation Codebook for Boston and Providence Prepared by Stephen Gilman Construct Child Demographics Child’s race (NCPP_RACE) Child’s sex (NCPP_SEX)

Treatment of missing data in the nonimputed dataset Use data from all sources, otherwise set to missing Use data from all sources, otherwise set to missing

Imputation rule Impute for all live-born children Categorical Categorical

Parental demographics Maternal age at pregnancy (AR01_72) Paternal age at pregnancy (FH101_29 or SE201_53)

Continuous Continuous

Parental health history Maternal history of psychiatric problems (GN305_47) Maternal psychiatric problems during pregnancy (OB260_33) Paternal history of psychiatric problems (GN305_70) Number of prior pregnancies (GN105_27)

Categorical Count Categorical Count

Parental socioeconomic status assessed during pregnancy Family socioeconomic status (SEI0_26) Persons in the household (HHSIZE) Rooms in the household (SE201_40 or FH101_35) Father’s education (EDUCDAD) Mother’s education (EDUCMOM) Father’s occupation (OCCUPDAD) Mother’s occupation (OCUPMOM) Mother’s marital status (MARITMOM) Mother’s employment status (EMPLMOM) Father’s employment status (EMPLDAD) Main wage earner (MWEARNER) Occupation, main wage earner (OCCUPMWE) Husband or father of baby present in household (DADHOME)

Impute for all mothers enrolled in CPP Continuous Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical

Parental socioeconomic status assessed at age-7 interview Mother’s occupation (FH209_51)

Items come from combining FHH-1 / SE1 forms. Unknown set to missing.

Impute for all mothers whose children survived through age 7 Categorical

Construct Father’s occupation (FH209_54) Foster/adoptive mother’s occupation (FH109_60) Foster/adoptive father’s occupation (FH109_62) Who child lives with (FH109_38, FH109_45) Maternal smoking during pregnancy Maximum number of cigarettes smoked per day during 1st trimester (CIGMAX1) Maximum number of cigarettes smoked per day during 2nd trimester (CIGMAX2) Maximum number of cigarettes smoked per day during 3rd trimester (CIGMAX3) Prenatal Factors HEMO RDS APNEA TOX HYPER3RD HYPO3RD PPREV ABRUPT SHOCK KNOT CRDNCK PROLAP LABOR20 ASPHYX BREECH

Treatment of missing data in the nonimputed dataset Unknown set to missing.

Imputation rule Categorical Categorical Categorical Categorical Impute for all mothers enrolled in CPP Count

Unknown or no prenatal visits during a trimester set to missing.

Count Count

Impute for all mothers enrolled in CPP

0/1 variables used in the construction of NWCRNNS

0/1 variables used in the construction of NWAHYP2

PREMIE Age 4 Psychological Examination DEPRESS HYPERAC OPPOSITE

Continuous Continuous Continuous

Construct

Treatment of missing data in the nonimputed dataset

Imputation rule

Stanford-Binet IQ Score (PS120_30)

Continuous

Age 7 Psychological Examination SHYDEP CONDUCT OUTGO Verbal IQ Score (PS230_49) Performance IQ Score (PS230_54) Full Scale IQ Score (PS230_60) WRAT math score (ASTAND) WRAT spelling score (SSTAND) WRAT reading (RSTAND)

Continuous Continuous Continuous Continuous Continuous Continuous Continuous Continuous Continuous

Variables to derive after imputation: OCCUPATION_BIRTH, OCCUPATION_7, OCCUPATION CIGMAX, CIGMEAN1, CIGMEAN2, CIGMEAN3, CIGTOT1, CIGTOT2, CIGTOT3, CIGTOT NWCRNNS NWAHYP2 PD_COMP CROWDING: array unweda (4) se201_42 fh101_37 se201_40 fh101_35; do i=1 to 4; if unweda(i)=88 then do; unwed=1; unweda(i)=.; end; end; drop i; persons=max(of se201_42,fh101_37); rooms=max(of se201_40,fh101_35); persons_room=persons/rooms; if unwed=1 then crowding=-1; if 0