DQAF mission South Africa 2009
From Ed-DQAF Wiki
(Difference between revisions)
(add category South Africa) |
|||
| Line 40: | Line 40: | ||
===See also=== | ===See also=== | ||
* [[South Africa|South Africa county page]] | * [[South Africa|South Africa county page]] | ||
| + | |||
| + | [[Category:South Africa]] | ||
Latest revision as of 12:48, 15 October 2012
A Synthesis of Seven Country Assessments March 2010[1]
Contents |
Background
- Assessment conducted in February 2009 over 7 working days.
- UIS met with:
- Department of Education (DoE)
- EMIS/HEMIS/EMS/Economic Analysis/Monitoring & Evaluation
- Further Examination & Training (FET)
- 3 provinces: KwaZulu Natal, Western Cape, Mpumalanga
- Report shared with DoE in June 2009.
- Final version incorporates feedback.
Positives
- South Africa has a very strong national statistical system that closely corresponds to international standards.
- Close collaboration between Statistics South Africa (SSA) and the DoE to define statistical quality processes.
- Comprehensive and decentralized IT tools to the provincial level to support data production chain.
- Classification of educational programs follows international norms (e.g. National Qualifications Framework).
- Comprehensive data reporting on education finance at the provincial level.
- Strict adherence to public and regular data release schedules (pre-primary to post-secondary data).
Areas to strengthen
- Timeliness & data validation checks are limited by understaffing at the DoE.
- Little attention paid to resolving missing data issues (e.g., imputation methodologies).
- Reconcile differences in estimated enrolment counts produced by household surveys and Annual School Census.
- Variations in provincial human & technical resource capacity limits ability to process data effectively.
- Provincial web sites are not updated regularly.
- Private tertiary enrolment are not integrated with public data for international reporting.
- Data collection questionnaire impacts item response although unit response is relatively high.
Recommendations
- Review current staffing levels and training requirements both nationally & provincially (e.g., EMIS workload in KwaZulu Natal).
- Assure on-going provincial adherence to Data Quality Standard for Surveys.
- Simplify data collection instrument to consider provincial resource limitations.
- DoE should ensure on-line data cover entire education sector (e.g., FET colleges).
- Verify accuracy of private and public teacher data.
- EMS department should revise EMIS data capture element to include a data validation check.
- DoE should publish complete set of indicators at provincial and national levels in Education Statistics in South Africa.
- School registers should be standardized across provinces and schools.
- Provincial user needs should inform questionnaire design.