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olanderbolanderb
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upload SBP CRF 93 syntax
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‎Indicators/SchoolBasedProgrammes-CRF93-SchoolAbseentism/SBP_CRF93_Abseentism.sps‎

Lines changed: 19 additions & 150 deletions
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* Encoding: UTF-8.
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*can only download repeat csv data as zip file from moda with group names - will update this code to remove group names
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*rename to remove group names - because of the variable length SPSS changes name slightly
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*this syntax is based on SPSS download version from MoDA
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWStapCer = PWMDDWStapCer).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWStapRoo = PWMDDWStapRoo).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPulse = PWMDDWPulse).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWNuts = PWMDDWNuts).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWMilk = PWMDDWMilk).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWDairy = PWMDDWDairy).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatO = PWMDDWPrMeatO).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatF = PWMDDWPrMeatF).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatPro = PWMDDWPrMeatPro).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrMeatWhite = PWMDDWPrMeatWhite).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrFish = PWMDDWPrFish).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWPrEgg = PWMDDWPrEgg).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegGre = PWMDDWVegGre).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegOrg = PWMDDWVegOrg).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFruitOrg = PWMDDWFruitOrg).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWVegOth = PWMDDWVegOth).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFruitOth = PWMDDWFruitOth).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWSnf = PWMDDWSnf).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodoil = PWMDDWFortFoodoil).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodwflour = PWMDDWFortFoodwflour).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodmflour = PWMDDWFortFoodmflour).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodrice = PWMDDWFortFoodrice).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFooddrink = PWMDDWFortFooddrink).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodother_A = PWMDDWFortFoodother).
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RENAME VARIABLES (Nutrition_moduleMDD_W_submoduleRepeatMDDWPWMDDWFortFoodother = PWMDDWFortFoodother_oth).
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* Filter dataset for children registered to attend school.
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SELECT IF (PChildRegisterSchool = 1).
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Variable labels PWMDDWStapCer "Foods made from grains".
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Variable labels PWMDDWStapRoo "White roots and tubers or plantains".
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Variable labels PWMDDWPulse "Pulses (beans, peas and lentils)".
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Variable labels PWMDDWNuts "Nuts and seeds".
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Variable labels PWMDDWMilk "Milk".
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Variable labels PWMDDWDairy "Milk products".
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Variable labels PWMDDWPrMeatO "Organ meats".
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Variable labels PWMDDWPrMeatF "Red flesh meat from mammals".
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Variable labels PWMDDWPrMeatPro "Processed meat".
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Variable labels PWMDDWPrMeatWhite "Poultry and other white meats".
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Variable labels PWMDDWPrFish "Fish and Seafood".
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Variable labels PWMDDWPrEgg "Eggs from poultry or any other bird".
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Variable labels PWMDDWVegGre "Dark green leafy vegetable".
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Variable labels PWMDDWVegOrg "Vitamin A-rich vegetables, roots and tubers".
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Variable labels PWMDDWFruitOrg "Vitamin A-rich fruits".
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Variable labels PWMDDWVegOth "Other vegetables".
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Variable labels PWMDDWFruitOth "Other fruits".
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Variable labels PWMDDWSnf "Specialized Nutritious Foods (SNF) for women".
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Variable labels PWMDDWFortFoodoil "Fortified oil".
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Variable labels PWMDDWFortFoodwflour "Fortified wheat flour".
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Variable labels PWMDDWFortFoodmflour "Fortified maize flour".
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Variable labels PWMDDWFortFoodrice "Fortified Rice".
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Variable labels PWMDDWFortFooddrink "Fortified drink".
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Variable labels PWMDDWFortFoodother "Other:".
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Variable labels PWMDDWFortFoodother_oth "Other: please specify: ____________".
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* Compute a variable for absence due to ill health as a binary indicator.
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COMPUTE AbsentDueToIllHealth = (PChildDayAbsSchoolWhy.1 = 1).
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Value labels PWMDDWStapCer,PWMDDWStapRoo,PWMDDWPulse,PWMDDWNuts,PWMDDWMilk,PWMDDWDairy,PWMDDWPrMeatO,PWMDDWPrMeatF,PWMDDWPrMeatPro,PWMDDWPrMeatWhite,PWMDDWPrFish,
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PWMDDWPrEgg,PWMDDWVegGre,PWMDDWVegOrg,PWMDDWFruitOrg,PWMDDWVegOth,PWMDDWFruitOth,PWMDDWSnf,PWMDDWFortFoodoil,PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink,PWMDDWFortFoodother 1 'Yes' 0 'No '.
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* Aggregate data to calculate total registered and total absent due to ill health.
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DATASET DECLARE AggregatedData.
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AGGREGATE OUTFILE='AggregatedData'
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/BREAK=
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/TotalRegistered = N
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/TotalAbsentDueToIllHealth = SUM(AbsentDueToIllHealth).
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*Calculate 2 MDDW indicators based on https://docs.wfp.org/api/documents/WFP-0000140197/download/ pg.8
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*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")
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*WFP Modified MDDW WFP programme monitoring - counts SNF in "Meat, poultry and fish" Category
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*Standard MDDW method - in this example SNF home group will be grains
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*in this example all - PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink will also count in grains
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*classifying PWMDDWFortFoodother_oth will likely involve classifying line by line
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Compute MDDW_Staples = 0.
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if (PWMDDWStapCer) = 1 | (PWMDDWStapRoo) = 1 | (PWMDDWSnf = 1) | (PWMDDWFortFoodwflour = 1) | (PWMDDWFortFoodmflour = 1) | (PWMDDWFortFoodrice = 1) | (PWMDDWFortFooddrink = 1) MDDW_Staples= 1.
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compute MDDW_Pulses = 0.
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if (PWMDDWPulse = 1) MDDW_Pulses = 1.
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Compute MDDW_NutsSeeds = 0.
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if (PWMDDWNuts = 1) MDDW_NutsSeeds = 1.
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Compute MDDW_Dairy = 0.
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if (PWMDDWDairy = 1) | (PWMDDWMilk = 1) MDDW_Dairy = 1.
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Compute MDDW_MeatFish = 0.
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if (PWMDDWPrMeatO = 1) | (PWMDDWPrMeatF = 1) | (PWMDDWPrMeatPro = 1) | (PWMDDWPrMeatWhite = 1) | (PWMDDWPrFish = 1) MDDW_MeatFish = 1.
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Compute MDDW_Eggs = 0.
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if (PWMDDWPrEgg = 1) MDDW_Eggs = 1.
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Compute MDDW_LeafGreenVeg = 0.
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if (PWMDDWVegGre = 1) MDDW_LeafGreenVeg = 1..
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Compute MDDW_VitA = 0.
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if (PWMDDWVegOrg = 1) | (PWMDDWFruitOrg = 1) MDDW_VitA = 1.
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Compute MDDW_OtherVeg = 0.
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if (PWMDDWVegOth = 1) MDDW_OtherVeg = 1.
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Compute MDDW_OtherFruits = 0.
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if (PWMDDWFruitOth = 1) MDDW_OtherFruits = 1.
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*WFP MDDW method for program monitoring - SNF will count in the meats group
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*in this example all - PWMDDWFortFoodwflour,PWMDDWFortFoodmflour,PWMDDWFortFoodrice,PWMDDWFortFooddrink will also count in grains
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*classifying PWMDDWFortFoodother_oth will likely involve classifying line by line
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compute MDDW_Staples_wfp = 0.
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if (PWMDDWStapCer) = 1 | (PWMDDWStapRoo) = 1 | (PWMDDWFortFoodwflour = 1) | (PWMDDWFortFoodmflour = 1) | (PWMDDWFortFoodrice = 1) | (PWMDDWFortFooddrink = 1) MDDW_Staples_wfp = 1.
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Compute MDDW_Pulses_wfp = 0.
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if (PWMDDWPulse = 1) MDDW_Pulses_wfp = 1.
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Compute MDDW_NutsSeeds_wfp = 0.
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if (PWMDDWNuts = 1) MDDW_NutsSeeds_wfp = 1.
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Compute MDDW_Dairy_wfp = 0.
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if (PWMDDWDairy = 1) | (PWMDDWMilk = 1) MDDW_Dairy_wfp = 1.
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Compute MDDW_MeatFish_wfp = 0.
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if (PWMDDWPrMeatO = 1) | (PWMDDWPrMeatF = 1) | (PWMDDWPrMeatPro = 1) | (PWMDDWPrMeatWhite = 1) | (PWMDDWPrFish = 1) | (PWMDDWSnf = 1) MDDW_MeatFish_wfp = 1.
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Compute MDDW_Eggs_wfp = 0.
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if (PWMDDWPrEgg = 1) MDDW_Eggs_wfp = 1.
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compute MDDW_LeafGreenVeg_wfp = 0.
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if (PWMDDWVegGre = 1) MDDW_LeafGreenVeg_wfp = 1 .
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Compute MDDW_VitA_wfp = 0.
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if (PWMDDWVegOrg = 1) | (PWMDDWFruitOrg = 1) MDDW_VitA_wfp= 1.
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Compute MDDW_OtherVeg_wfp = 0.
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if (PWMDDWVegOth = 1) MDDW_OtherVeg_wfp = 1.
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Compute MDDW_OtherFruits_wfp = 0.
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if (PWMDDWFruitOth = 1) MDDW_OtherFruits_wfp = 1.
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*calculate MDDW variable for both methods by adding together food groups and classifying whether the woman consumed 5 or more food groups
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*Standard MDDW method where SNF is counted in grains
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compute MDDW = sum(MDDW_Staples ,MDDW_Pulses ,MDDW_NutsSeeds ,MDDW_Dairy ,MDDW_MeatFish ,MDDW_Eggs ,MDDW_LeafGreenVeg ,MDDW_VitA ,MDDW_OtherVeg ,MDDW_OtherFruits).
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*count how many women consumed 5 or more groups
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Compute MDDW_5 = 0.
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if (MDDW >= 5) MDDW_5 = 1.
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Value labels MDDW_5 1 '>=5' 0 '<5 '.
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Value labels MDDW_5 1 '>=5' 0 '<5 '.
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*WFP MDDW method for program monitoring - SNF will count in the meats group
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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).
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*count how many women consumed 5 or more groups
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Compute MDDW_5_wfp = 0.
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if (MDDW_wfp >= 5) MDDW_5_wfp = 1.
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Value labels MDDW_5_wfp 1 '>=5' 0 '<5 '.
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Value labels MDDW_5_wfp 1 '>=5' 0 '<5 '.
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*Frequency of Standard MDDW Method - MDDW_5
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freq MDDW_5.
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*Frequency of WFP MDDW method for program monitoring - MDDW_5_wfp
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freq MDDW_5_wfp.
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* Compute the percentage of absences due to ill health.
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DATASET ACTIVATE AggregatedData.
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COMPUTE PercentAbsentDueToIllHealth = (TotalAbsentDueToIllHealth / TotalRegistered) * 100.
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* Assign a label to the new percentage variable.
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VARIABLE LABELS PercentAbsentDueToIllHealth '% Children Missing School Due to Ill Health'.
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* Display the result.
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FORMATS PercentAbsentDueToIllHealth (F2.2).
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LIST.

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