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Merged
olanderb merged 1 commit into from
Apr 12, 2024
Merged

upload SBP CRF 93 Abseentism syntax #141

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169 changes: 19 additions & 150 deletions Indicators/SchoolBasedProgrammes-CRF93-SchoolAbseentism/SBP_CRF93_Abseentism.sps
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* Encoding: UTF-8.

*can only download repeat csv data as zip file from moda with group names - will update this code to remove group names
*rename to remove group names - because of the variable length SPSS changes name slightly
*this syntax is based on SPSS download version from MoDA

RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWStapCer = PWMDDWStapCer).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWStapRoo = PWMDDWStapRoo).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPulse = PWMDDWPulse).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWNuts = PWMDDWNuts).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWMilk = PWMDDWMilk).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWDairy = PWMDDWDairy).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatO = PWMDDWPrMeatO).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatF = PWMDDWPrMeatF).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatPro = PWMDDWPrMeatPro).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatWhite = PWMDDWPrMeatWhite).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrFish = PWMDDWPrFish).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrEgg = PWMDDWPrEgg).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegGre = PWMDDWVegGre).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegOrg = PWMDDWVegOrg).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFruitOrg = PWMDDWFruitOrg).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegOth = PWMDDWVegOth).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFruitOth = PWMDDWFruitOth).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWSnf = PWMDDWSnf).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodoil = PWMDDWFortFoodoil).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodwflour = PWMDDWFortFoodwflour).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodmflour = PWMDDWFortFoodmflour).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodrice = PWMDDWFortFoodrice).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFooddrink = PWMDDWFortFooddrink).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodother_A = PWMDDWFortFoodother).
RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodother = PWMDDWFortFoodother_oth).
* Filter dataset for children registered to attend school.
SELECT IF (PChildRegisterSchool = 1).

Variable labels PWMDDWStapCer "Foods made from grains".
Variable labels PWMDDWStapRoo "White roots and tubers or plantains".
Variable labels PWMDDWPulse "Pulses (beans, peas and lentils)".
Variable labels PWMDDWNuts "Nuts and seeds".
Variable labels PWMDDWMilk "Milk".
Variable labels PWMDDWDairy "Milk products".
Variable labels PWMDDWPrMeatO "Organ meats".
Variable labels PWMDDWPrMeatF "Red flesh meat from mammals".
Variable labels PWMDDWPrMeatPro "Processed meat".
Variable labels PWMDDWPrMeatWhite "Poultry and other white meats".
Variable labels PWMDDWPrFish "Fish and Seafood".
Variable labels PWMDDWPrEgg "Eggs from poultry or any other bird".
Variable labels PWMDDWVegGre "Dark green leafy vegetable".
Variable labels PWMDDWVegOrg "Vitamin A-rich vegetables, roots and tubers".
Variable labels PWMDDWFruitOrg "Vitamin A-rich fruits".
Variable labels PWMDDWVegOth "Other vegetables".
Variable labels PWMDDWFruitOth "Other fruits".
Variable labels PWMDDWSnf "Specialized Nutritious Foods (SNF) for women".
Variable labels PWMDDWFortFoodoil "Fortified oil".
Variable labels PWMDDWFortFoodwflour "Fortified wheat flour".
Variable labels PWMDDWFortFoodmflour "Fortified maize flour".
Variable labels PWMDDWFortFoodrice "Fortified Rice".
Variable labels PWMDDWFortFooddrink "Fortified drink".
Variable labels PWMDDWFortFoodother "Other:".
Variable labels PWMDDWFortFoodother_oth "Other: please specify: ____________".
* Compute a variable for absence due to ill health as a binary indicator.
COMPUTE AbsentDueToIllHealth = (PChildDayAbsSchoolWhy.1 = 1).

Value labels PWMDDWStapCer,PWMDDWStapRoo,PWMDDWPulse,PWMDDWNuts,PWMDDWMilk,PWMDDWDairy,PWMDDWPrMeatO,PWMDDWPrMeatF,PWMDDWPrMeatPro,PWMDDWPrMeatWhite,PWMDDWPrFish,
PWMDDWPrEgg,PWMDDWVegGre,PWMDDWVegOrg,PWMDDWFruitOrg,PWMDDWVegOth,PWMDDWFruitOth,PWMDDWSnf,PWMDDWFortFoodoil,PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink,PWMDDWFortFoodother 1 'Yes' 0 'No '.
* Aggregate data to calculate total registered and total absent due to ill health.
DATASET DECLARE AggregatedData.
AGGREGATE OUTFILE='AggregatedData'
/BREAK=
/TotalRegistered = N
/TotalAbsentDueToIllHealth = SUM(AbsentDueToIllHealth).

*Calculate 2 MDDW indicators based on https://docs.wfp.org/api/documents/WFP-0000140197/download/ pg.8
*Standard MDDW Indicator for population based surveys - counts SNF in home group (refer to https://docs.wfp.org/api/documents/WFP-0000139484/download/ for "home group")
*WFP Modified MDDW WFP programme monitoring - counts SNF in "Meat, poultry and fish" Category

*Standard MDDW method - in this example SNF home group will be grains
*in this example all - PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink will also count in grains
*classifying PWMDDWFortFoodother_oth will likely involve classifying line by line

Compute MDDW_Staples = 0.
if (PWMDDWStapCer) = 1 | (PWMDDWStapRoo) = 1 | (PWMDDWSnf = 1) | (PWMDDWFortFoodwflour = 1) | (PWMDDWFortFoodmflour = 1) | (PWMDDWFortFoodrice = 1) | (PWMDDWFortFooddrink = 1) MDDW_Staples= 1.
compute MDDW_Pulses = 0.
if (PWMDDWPulse = 1) MDDW_Pulses = 1.
Compute MDDW_NutsSeeds = 0.
if (PWMDDWNuts = 1) MDDW_NutsSeeds = 1.
Compute MDDW_Dairy = 0.
if (PWMDDWDairy = 1) | (PWMDDWMilk = 1) MDDW_Dairy = 1.
Compute MDDW_MeatFish = 0.
if (PWMDDWPrMeatO = 1) | (PWMDDWPrMeatF = 1) | (PWMDDWPrMeatPro = 1) | (PWMDDWPrMeatWhite = 1) | (PWMDDWPrFish = 1) MDDW_MeatFish = 1.
Compute MDDW_Eggs = 0.
if (PWMDDWPrEgg = 1) MDDW_Eggs = 1.
Compute MDDW_LeafGreenVeg = 0.
if (PWMDDWVegGre = 1) MDDW_LeafGreenVeg = 1..
Compute MDDW_VitA = 0.
if (PWMDDWVegOrg = 1) | (PWMDDWFruitOrg = 1) MDDW_VitA = 1.
Compute MDDW_OtherVeg = 0.
if (PWMDDWVegOth = 1) MDDW_OtherVeg = 1.
Compute MDDW_OtherFruits = 0.
if (PWMDDWFruitOth = 1) MDDW_OtherFruits = 1.


*WFP MDDW method for program monitoring - SNF will count in the meats group
*in this example all - PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink will also count in grains
*classifying PWMDDWFortFoodother_oth will likely involve classifying line by line

compute MDDW_Staples_wfp = 0.
if (PWMDDWStapCer) = 1 | (PWMDDWStapRoo) = 1 | (PWMDDWFortFoodwflour = 1) | (PWMDDWFortFoodmflour = 1) | (PWMDDWFortFoodrice = 1) | (PWMDDWFortFooddrink = 1) MDDW_Staples_wfp = 1.
Compute MDDW_Pulses_wfp = 0.
if (PWMDDWPulse = 1) MDDW_Pulses_wfp = 1.
Compute MDDW_NutsSeeds_wfp = 0.
if (PWMDDWNuts = 1) MDDW_NutsSeeds_wfp = 1.
Compute MDDW_Dairy_wfp = 0.
if (PWMDDWDairy = 1) | (PWMDDWMilk = 1) MDDW_Dairy_wfp = 1.
Compute MDDW_MeatFish_wfp = 0.
if (PWMDDWPrMeatO = 1) | (PWMDDWPrMeatF = 1) | (PWMDDWPrMeatPro = 1) | (PWMDDWPrMeatWhite = 1) | (PWMDDWPrFish = 1) | (PWMDDWSnf = 1) MDDW_MeatFish_wfp = 1.
Compute MDDW_Eggs_wfp = 0.
if (PWMDDWPrEgg = 1) MDDW_Eggs_wfp = 1.
compute MDDW_LeafGreenVeg_wfp = 0.
if (PWMDDWVegGre = 1) MDDW_LeafGreenVeg_wfp = 1 .
Compute MDDW_VitA_wfp = 0.
if (PWMDDWVegOrg = 1) | (PWMDDWFruitOrg = 1) MDDW_VitA_wfp= 1.
Compute MDDW_OtherVeg_wfp = 0.
if (PWMDDWVegOth = 1) MDDW_OtherVeg_wfp = 1.
Compute MDDW_OtherFruits_wfp = 0.
if (PWMDDWFruitOth = 1) MDDW_OtherFruits_wfp = 1.




*calculate MDDW variable for both methods by adding together food groups and classifying whether the woman consumed 5 or more food groups

*Standard MDDW method where SNF is counted in grains

compute MDDW = sum(MDDW_Staples ,MDDW_Pulses ,MDDW_NutsSeeds ,MDDW_Dairy ,MDDW_MeatFish ,MDDW_Eggs ,MDDW_LeafGreenVeg ,MDDW_VitA ,MDDW_OtherVeg ,MDDW_OtherFruits).

*count how many women consumed 5 or more groups

Compute MDDW_5 = 0.
if (MDDW >= 5) MDDW_5 = 1.
Value labels MDDW_5 1 '>=5' 0 '<5 '.

Value labels MDDW_5 1 '>=5' 0 '<5 '.



*WFP MDDW method for program monitoring - SNF will count in the meats group

compute MDDW_wfp = sum(MDDW_Staples_wfp,MDDW_Pulses_wfp ,MDDW_NutsSeeds_wfp ,MDDW_Dairy_wfp ,MDDW_MeatFish_wfp ,MDDW_Eggs_wfp ,MDDW_LeafGreenVeg_wfp ,MDDW_VitA_wfp ,MDDW_OtherVeg_wfp ,MDDW_OtherFruits_wfp).

*count how many women consumed 5 or more groups


Compute MDDW_5_wfp = 0.
if (MDDW_wfp >= 5) MDDW_5_wfp = 1.
Value labels MDDW_5_wfp 1 '>=5' 0 '<5 '.

Value labels MDDW_5_wfp 1 '>=5' 0 '<5 '.


*Frequency of Standard MDDW Method - MDDW_5

freq MDDW_5.


*Frequency of WFP MDDW method for program monitoring - MDDW_5_wfp

freq MDDW_5_wfp.
* Compute the percentage of absences due to ill health.
DATASET ACTIVATE AggregatedData.
COMPUTE PercentAbsentDueToIllHealth = (TotalAbsentDueToIllHealth / TotalRegistered) * 100.

* Assign a label to the new percentage variable.
VARIABLE LABELS PercentAbsentDueToIllHealth '% Children Missing School Due to Ill Health'.

* Display the result.
FORMATS PercentAbsentDueToIllHealth (F2.2).
LIST.
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