Rusinga DSS DATA MANAGEMENT

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

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

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.

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