1. WORKSHOP Data analysis and report writing Out of school Drop-outs
Trainers:
Ms Alison Culpin
Mr Greg Keeble
Mr Frank Siciliano
Communication and dissemination
Education indicators
Evidenced based policy making
Population dynamics
Data quality
Open VEMIS
Census of Population and Housing
Demographic Health Surveys
Household Income and Expenditure Survey
Time series analysis
SDGs
School census data cycle
Interpretation and narratives
Stakeholders
Mapping data
Disaggregated data
School level data
Sub-national data
Outcomes and assessments
Education finance
Teachers
Drop-outs
Out of school
Trends and patterns
WORKSHOP
17th to 19th October 2017
MSG Secretariat Building. Port Vila.
Data analysis and report writing

2. Participants roles and duties
Day 1:
• Welcome and Introduction
• Participant introductions – work groups, tasks
• Objectives of the workshop
• Using statistics for evidenced based policy
• Review of various data sources for the education sector
• Population dynamics and the link to education
• Introduction to Education Indicators for Vanuatu
• Sustainable Development Goals – targets and indicators
• The School Census data cycle
• Data quality issues
• Incorporating simple written narratives to data and indicators
• Communication and dissemination of data – techniques, tools, and stakeholders
Day 2 and Day 3:
• National and sub-national/Provincial data
• Mapping education data
• Disaggregated data
o Gender parity
o Disabilities
o Education Authorities
• Age by Grade analysis
• Basic education indicators
• Interpretation of indicators
• Financial aspects of the education sector
• Teachers
• School Drop-outs
• Out of school estimates
• Higher education and TVET
• Time series analysis
• Data trends investigations
• School based data and indicators
• Education outcomes and assessments – overview
• Final review of workshop – participant’s evaluation
Participants roles and duties
Objectives of the workshop

3. OK….. but what about data quality?
Using statistics for evidenced based
decision making, policy and planning
Help to make well informed decisions about policies, programs and projects
Can produce more effective decisions
Helps to ensure policies, programs and projects are responding to real needs of the community
Can highlight the urgency of an issue or problem requiring immediate attention, funding & resources
Encourages information sharing within and between agencies
Can reduce government expenditure
Can generate savings and efficiencies
Encourages transparency and accountability
OK….. but what about data quality?
Why do statistics matter?
Help to identify needs
Set goals
Monitor progress

10. Statistical literacy Knowledge, skills, awareness and confidence
to access, understand, analyse and communicate statistical information
Data awareness
Fit-for-purpose
Understand statistical concepts and measures
Interpret and evaluate statistics
Summarise
Report, communicate, disseminate