1. Rusinga DSS
DATA MANAGEMENT

2. Management of Data Questionnaire design Data entry – quality issues
Skip pattern
Piloting
Unit of analysis; subordinate units
Built in redundancy eg bottom line for totals
Data entry – quality issues
Technology
Centralized data entry
Data entry in the field
Paperless interviews
supervision

3. Management of Data Data entry and quality checks:
checks: range checks, checks against reference data, skip checks, consistency checks & typographic checks.
Data entry & processing - Mysql and Php on windows – open source technology used
The platforms are easy to obtain and use
Dissemination - Use flat file (csv) & export to SPSS:
Households (new/dissolution)
Population
Births
Deaths
Migration
Marriage

4. Quality control criteria
Five kinds of checks: range checks, checks against reference data, skip checks, consistency checks and typographic checks.
Range checks - variable in the survey contains only data within a limited domain of valid values eg. Female, male
Skip checks - verify whether the skip patterns have been followed appropriately eg. simple check verifies that questions to be asked only of schoolchildren are not recorded for a child who answered no to an initial question on school enrolment.
Consistency checks: verify that values from one question are consistent with values from another question. Eg date of birth and age of a given individual
Typographical checks -This was generally achieved by simply having each questionnaire entered twice, (double-blind procedures) by two different operators.

5. DSS structure Table Form HH summary Household Population Birth Death
Migration
Marital status
Dissolved HH