Transcript Denise LIEVESLEY UNESCO Institute for Statistics Institut de statistique de l’UNESCO EFA and statistics UNESCO INSTITUTE for STATISTICS.

Denise LIEVESLEY
UNESCO Institute for Statistics
Institut de statistique de l’UNESCO
EFA and statistics
UNESCO
INSTITUTE for STATISTICS
Statistics in the EFA process
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Formulation of evidence-based
policies at national level
Monitoring of EFA goals and other
performance indicators at national
and international levels
Advocacy in order to mobilise
support and resources
UNESCO
INSTITUTE for STATISTICS
Data sources
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Administrative data
Census data
School surveys
Surveys of students
Household surveys
UNESCO
INSTITUTE for STATISTICS
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Important to understand merits
and limitations/ likely deficiencies
of the data from different sources
Critical not to reply on too small a
number of indicators
UNESCO
INSTITUTE for STATISTICS
Broad timetable - education data
July
September
April
May/June
August
November
January
February
UNESCO
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end of school year
questionnaires sent out
deadline for return of questionnaires
chase up non-respondents
processing begins
final deadline
processing completed
delivery to users
INSTITUTE for STATISTICS
Can be combined
to provide
estimates in all
dimensions
In-depth data on
literacy SKILLS
and people’s
background
In-depth data
on higher
literacy levels
REGULAR
data collection
LAMP
Household
surveys
ALL, IALS
Data on
students
PISA,
SACMEQ,
PIRLS
Ad hoc
literacy
assessment
surveys
Censuses
Literacy
Measur
es
Programme
evaluations
Individual
diagnostics
UNESCO
INSTITUTE for STATISTICS
Evaluating
programme
effectivenes
s
Large
population
COVERAGE
Improving the policy relevance of data
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Improving the dialogue between users
and producers of data within countries
need to understand the policies, improve the
communication skills of statisticians, user
committees, building communities of intermediaries
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Balancing the country and crossnational comparative data needs ensuring
that international demands do not distort national
agendas, involve national policy makers in the
decisions about international data
UNESCO
INSTITUTE for STATISTICS
Data quality
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reliability
validity
timeliness – currency and punctuality
comparability between and within countries
consistency over time
can be disaggregated
accessible and interpretable
policy relevant
affordable and cost effective
UNESCO
INSTITUTE for STATISTICS
How can we assess data quality ?
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Usual statistical ways - consistency, face
validity, within range etc
Triangulation with other sources especially
surveys and disaggregated data
Feedback from users, those in the field,
especially n.g.o.s
Supportive relationships with statisticians
who supply the data
Good contextual information
Comparisons with other countries
UNESCO
INSTITUTE for STATISTICS
How do we improve data quality ?
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Improve processes
Simplify data collection
Ensure resources and expertise for
data collection (ie build capacity)
Understand incentives throughout the
system
Get data used
Raise the profile of data
UNESCO
INSTITUTE for STATISTICS