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A detailed explanation of the 1:10 sampling strategy implemented in the ADSS Database for improved data analysis. This sample ensures representativeness, confidentiality, and faster access to vital information without compromising control over the publication process. Additionally, rules regarding data usage, publication, and agreement terms are outlined. The dataset's structure, rules, validation processes, and core modules are explored extensively to help users derive valuable insights.
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ADSS 1:10 Dataset Benjamin Clark 2006
ADSS 1:10 Dataset • 1 in 10 sample of locations from the ADSS Database for the entire period stratified by village. • Same Structure but simplified • Observation simplified to observation date • Status Observations simplified to one per year • Difficult variables remove • Increased normalization • Cleaner data
Why a 1:10 Sample? • Why include just 1:10 locations in each village? • Confidentiality • Helps to clean outliners • Why “training” database helps users and AHPU • Expedite access to databases without losing control over publishing process • Allows users to become knowledgeable about what is available in dataset before requesting tailored datasets
Validating Sample • Created and compared counts of births, deaths, in/out migrations, and household size at population and sample level to assure representativeness of sample • Sample means (of above counts) are within one standard deviation of population level means • Population Level and Sample Level Statistics (in process of creating) • Population pyramids of population showing similarity in age distribution • Graphs showing similarities in household size • Graphs showing similarities in mortality and fertility trends
Rules of Database • Must sign data agreement to use datasets from student database • Students interested in publishing from student database must: • Apply for a full custom dataset (signing a confidentiality agreement in same vein as AHPU researchers) • Will re-run analysis on custom dataset • Will work with an Agincourt researcher(s) • Will be able to publish results
Object Tables Individuals Locations Households Event Table Deaths Births Pregnancies InMigrations OutMigrations Observations Episode tables Residences Person at a geographic location Can start with a Enrollment(1992), birth or in migration Can end with death or out migration Memberships Person’s membership to a household Can start with a Enrollment(1992), birth, in migration or change of household head Can end with death or out migration or change of household head UnionEpisodes Person in union with one and only one other person Core Tables
Modules • Not run every year • Modeled as Status observations • Household Status Observation Modules • AssetStatus • FoodSecurityStatus • ChildGrantForms • Individual Status Observation Modules • ChildGrants • CoughStatus • EducationStatus • HealthCareUtilization • LabourStatus • StrokeStatus • IDDocStatus • TemporyMigration
ADSS 1:10 Dataset: Tables Diagram
