how can synthesised evidence help reduce poverty? can synthesised evidence help reduce poverty? hugh...
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How can synthesised evidence
help reduce poverty?
Hugh Waddington,
Senior Evaluation Specialist
International Initiative for Impact Evaluation
www.3ieimpact.org
What do we mean by evidence synthesis?
• Systematic collection and presentation
of evidence on a particular topic or
programme
• Using rigorous methods
– Gap maps
– Rapid evidence assessments
– Systematic reviews
– Statistical meta-analysis
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Exercise 1
Do you AGREE or DISAGREE with the following statements about
evidence-informed policy making?
• Evidence needs to be drawn from all studies to be policy actionable.
• Evidence needs to be drawn from a range of academic disciplines to
be relevant.
• Existing evidence needs to be appraised and synthesised by
experts before it is used.
• Systematic reviews are relevant for policy making but not
programme design and implementation.
• I have used systematic reviews to inform my decision making.
• I know what are evidence gap maps.
• Writing more user-friendly reports will ensure evidence-informed
policy happens.
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Why ‘evidence synthesis-informed’
(rather than just ‘evidence-informed’)
• Where evidence is
used it is often
based on single
studies
• Where a range of
studies are used,
not clear how
representative
• Quality of evidence
used is often low
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What should the government do about NREGA?
“…NREGA is an absolute
disaster.”
- Rajeev Srinivasan,
Management Consultant
“The factual basis of [the
NREGA] debate has made is
possible for extremist
positions to flourish...”
- Jean Dreze and Christian
Oldiges (2012, p.21)
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History of Indian employment guarantee
Provides legal
right to
demand work
from the state
(1979)
Decentralised
delivery and
targeting of
women, but
poor targeting
Employment
and asset
creation, but
top-down and
poor targeting
Self-targeting,
wages paid in
cash and food
grains
Rights-based,
decentralised
delivery, self-
targeting,
employment
asset creation
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Evidence gap maps: rigorous evidence fast
• Thematic evidence collection on programmes,
e.g. on a range of interventions (sanitation
promotion), or a particular programme (NREGA)
• Use a framework presenting a matrix of policy
relevant interventions and process, intermediate
outcomes and impacts
• A tool to navigate the evidence base
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Understanding complex programmes D
em
ocra
cy
Participation in decision making
Decen
tralis
n
Build local government capacity
Co
rru
pti
on
Reduce leakage and mis-appropriation
Dir
ec
t
Beneficiaries:
- Wage income
- Consumption
- Food security
Ind
ire
ct
Beneficiaries:
- Vulnerability
- Financial inclusion
- Migration
In
dir
ec
t Economy-wide:
- Productive sector growth
- Real wage increases
Go
vern
an
ce
Liv
eli
ho
od
s
Em
po
we
rmen
t
Wo
me
n
- Intra-household power
- Burden of time
Ch
ild
ren
- Reduced child labour
- Better school outcomes
Dis
ad
van
tag
ed
- Ability to demand work
- Dignity (and stigma)
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0
20
40
60
80
100
120
140
160
180
200
NREGA evidence gap map summary
0 20 40 60
Empowerment
Governance
Livelihoods (indirect)
Livelihoods (direct)
0 50 100 150 200 250 300 350
Other
Governance
Performance
Asset Creation
Wages
Access
Outcomes: impact evaluations
Process: broader evidence
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Andhra Pradesh
Process and Implementation Outcomes and Impact
Intervention/Outcomes
Access Wages Asset Creation Performance Governance Other
Economic Direct Economic Indirect Governance Empowerment NREGA Cost-Effectiveness/ Cost benefit Analysis
Aw
are
ness
Targ
eting
Job C
ard
s
Availabili
ty
Beneficia
ry P
art
icip
ation
Dis
tance f
rom
work
sites
Work
Facilitie
s
Avera
ge W
ages (pert
ain
ing
to N
RE
GA
work
s,
season,
changes in w
ages o
ver
tim
e/r
egio
ns)
Full
Mode o
f P
aym
ent
Tim
ely
manner
Unem
plo
ym
ent A
llow
ance
Wate
r
Securi
ty/M
anagem
ent
Soil c
onserv
ation a
nd L
and
Pro
ductivity
Rura
l C
onnectivity
Work
s o
n s
pecifie
d la
nds
Oth
er
Pla
nnin
g a
nd E
xecution
Sta
ff
Fin
ancia
l
Record
Main
tenance
Innovation
GP
/GS
/Panchayat
involv
em
ent
Socia
l A
udits
Corr
uption
Com
pla
ints
and Issues
Converg
ence
B
eneficia
ry v
iew
s o
n
NR
EG
A's
influence (
perc
eiv
ed li
velih
ood
changes -
savin
gs, pri
vate
assets
, jo
b s
atisfa
ction)
Em
plo
ym
ent
Wages, A
ssets
, W
elfare
Spendin
g P
att
ern
Povert
y
Food S
ecuri
ty
Fin
ancia
l Inclu
sio
n
Mig
ration
Aff
ect on A
gri
culture
rela
ted facto
rs
Food P
rice Inflation
Pro
ductivity
Corr
uption
Em
pow
erm
ent (e
conom
ic,
political, s
ocia
l,
educational, g
ender)
Pro
gra
mm
e c
om
ponents
Government
Supply Side
Aiyar et
al., 2009 Sheahan
et al 2014 Aiyar et
al., 2009 Kumar et
al 2008
Shankar
and
Shylashri,
2010
Pankaj
and
Tankha,
2012 Reddy,
2012 Kumar et
al 2008
Pankaj
and
Tankha,
2012 Kumar et
al 2008 Reddy,
2012 Reddy,
2012 MoRD,
NS Reddy,
2012 Kumar et
al 2008
Imbert
and Papp,
2011 Sheahan
et al 2014 Dreze,
2011b Kumar et
al 2008 Afridi et
al., 2013
Shankar
and
Shylashri,
2010 Afridi et
al., 2013 CGG,
2009
Singh and
Vutukuru,
NS Sheahan
et al 2014 Aiyar et
al., 2009 Sheahan et al
2014
Singh and
Vutukuru,
NS Rao et al,
2008 MoRD,
NS Reddy,
2012
Ravi &
Aravinda,
2009
Ravi &
Aravinda,
2009
Shankar
et al.,
2011 MoRD,
NS MoRD,
NS
Singha
and
Kumar,
2014 MoRD,
NS
Singha
and
Kumar,
2014 MoRD,
NS
Pankaj
and
Tankha,
2012 Afridi et
al., 2013 MoRD,
NS
Singh and
Vutukuru,
NS Imbert and
Papp, 2011
The
National
Consortiu
m on
NREGA,
2009
Pankaj
and
Tankha,
2012
The
National
Consortiu
m on
NREGA,
2009 Maiorano,
2014
The
National
Consortiu
m on
NREGA,
2009
Pankaj
and
Tankha,
2012
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014 Rajsekhar
, NS
Pankaj
and
Tankha,
2012
Pankaj
and
Tankha,
2012
Shankar
and
Gaiha.,
2011
MoRD,
NS
Pankaj
and
Tankha,
2012
Shankar
et al.,
2011
CGG,
2009
Singha
and
Kumar,
2014
Shankar
et al.,
2011
Shankar
and
Gaiha.,
2011
Singh and
Vutukuru,
NS
Murthya
and
Indumatib,
2011
Participant Demand
Side
Ravi et al
2013 Reddy et
al, 2010
Athukoral
a et al.,
2008 Ravi et al
2013 Jha et al.,
2012 Reddy et
al, 2010
Pellissary
and Jalan,
2011
Reddy et
al, 2010
Kareemull
a et al.,
2009
Kareemull
a et al.,
2009
Kareemull
a et al.,
2009
Kareemull
a et al.,
2009
Reddy et
al, 2010
Reddy et
al, 2010 Reddy et
al, 2010 Reddy et
al, 2010
Kareemull
a et al.,
2009 Uppal,
2009 Esteves et
al., 2013 Uppal,
2009 Ravi et al
2013 Esteves et
al., 2013
Athukoral
a et al.,
2008
Kareemull
a et al.,
2009
Esteves et
al., 2013 Uppal,
2009
Jha et al.,
2010 Jha et al.,
2012
Pellissary
and Jalan,
2011
Reddy et
al, 2010
Kareemull
a et al.,
2009
Ravi et al
2013
Uppal,
2009
All programme or
other aspects
CBGA,
2006
Galab and
Revathi,
2012 CBGA,
2006
Ravi and
Engler,
NS
Galab and
Revathi,
2012 Datta et
al., 2009 Sastry,
2007
Ravi and
Engler,
NS
Mukhopad
hyay,
2012 Kamath et
al., 2008 Datta et
al., 2009
Shah and
Jose,
2012
Shah and
Jose,
2012
Shah and
Jose,
2012
Shah and
Jose,
2012 Kamath et
al., 2008
The
National
Consortiu
m on
NREGA,
2009 Sastry,
2007
Shah and
Jose,
2012
The
National
Consortiu
m on
NREGA,
2009 Sastry,
2007 Sastry,
2007
Ravi and
Engler,
NS Johnson,
2010
Ravi and
Engler,
NS Jha et al.,
2011
Ravi and
Engler,
NS Johnson,
2009 Deininger
et al, 2013
Sastry,
2007 Datta et
al., 2009
Galab and
Revathi,
2012 Johnson,
2010
Haque,
2012
Haque,
2012 Haque,
2012 Haque,
2012 Haque,
2012 Dilip et al.,
2013 Kamath et
al., 2008 Datta et
al., 2009 Haque,
2012
The
National
Consortiu
m on
NREGA,
2009 Kamath et
al., 2008 Sastry,
2007 Datta et
al., 2009 Deininger
et al, 2013 Gehrke,
2013
Galab and
Revathi,
2012
Kamath et
al., 2008 Gaiha et
al., 2010
Mukhopad
hyay,
2012
Shah and
Jose,
2012
Pankaj,
2012
Sastry,
2007 Sastry,
2007 Sastry,
2007 Sastry,
2007 IIS, 2013
Mukhopad
hyay,
2012 Datta et
al., 2009 Datta et
al., 2009 Gaiha et
al., 2011 Jha et al.,
2011 Illuru et
al., 2013
Datta et
al., 2009
CBGA,
2006 Kamath et
al., 2008
Mukhopad
hyay,
2012
The
National
Consortiu
m on
NREGA,
2009
The
National
Consortiu
m on
NREGA,
2009
The
National
Consortiu
m on
NREGA,
2009
The
National
Consortiu
m on
NREGA,
2009 Doug,
2008 Doug,
2008 Varshney
et al 2014 Varshney
et al 2014
Sastry,
2007 Dilip et al.,
2013 Gaiha et
al, 2010 Datta et
al., 2009 Datta et
al., 2009 Datta et
al., 2009 Datta et
al., 2009
IIS, 2013
Kamath et
al., 2008 Datta et
al., 2009
CBGA,
2006
Varshney
et al 2014 Varshney
et al 2014
Gaiha et
al., 2011 Sastry,
2007
Gaiha et
al., 2010
The
National
Consortiu
m on
NREGA,
2009
Kamath et
al., 2008
Gaiha et
al., 2011
Gaiha et
al., 2010
Process and Outcomes
Evidence and
gaps
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Meghalaya
Process and Implementation Outcomes and Impact
Intervention/Outcomes
Access Wages Asset Creation Performance Governance
Other
Economic Direct Economic Indirect Governance Empowerment NREGA Cost-Effectiveness/ Cost
benefit Analysis
Aw
are
ne
ss
Ta
rge
tin
g
Jo
b C
ard
s
Ava
ila
bility
Be
ne
ficia
ry P
art
icip
atio
n
Dis
tan
ce
fro
m w
ork
site
s
Wo
rk F
acilitie
s
Ave
rag
e W
ag
es (p
ert
ain
ing
to N
RE
GA
wo
rks, se
aso
n, ch
an
ge
s in
wa
ge
s o
ver
tim
e/r
eg
ions)
Fu
ll
Mo
de
of
Pa
ym
en
t
Tim
ely
ma
nn
er
Une
mp
loym
ent A
llo
wance
Wa
ter S
ecu
rity
/Ma
na
gem
ent
So
il c
on
se
rva
tio
n a
nd
La
nd
Pro
du
ctivi
ty
Rura
l C
on
ne
ctivi
ty
Wo
rks o
n s
pe
cifie
d lan
ds
Oth
er
Pla
nn
ing
an
d E
xecu
tio
n
Sta
ff
Fin
an
cia
l
Reco
rd M
ain
ten
an
ce
Inn
ova
tio
n
GP
/GS
/Pa
nch
aya
t in
volv
em
en
t
So
cia
l Au
dits
Corr
up
tio
n
Com
pla
ints
an
d Issu
es
Con
verg
en
ce
Be
ne
ficia
ry v
iew
s o
n N
RE
GA
's in
flu
en
ce
( p
erc
eiv
ed
live
lih
oo
d c
han
ge
s -
sa
vin
gs, p
riva
te a
sse
ts, jo
b s
atisfa
ctio
n)
Em
plo
ym
ent
Wa
ge
s, A
sse
ts, W
elfa
re
Sp
en
din
g P
att
ern
Po
vert
y
Fo
od
Se
cu
rity
Fin
an
cia
l In
clu
sio
n
Mig
ratio
n
Ag
ricu
ltu
re re
late
d fa
cto
rs
Fo
od
Pri
ce
Infla
tio
n
Pro
du
ctivi
ty
Corr
up
tio
n
Em
po
werm
ent (e
co
no
mic
, p
olitica
l, s
ocia
l, e
du
ca
tion
al, g
en
de
r)
Pro
gra
mm
e c
om
ponents
Government Supply
Side
Singha
and
Kumar,
2014
Shah and
Jose,
2012
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Singha
and
Kumar,
2014
Shah and
Jose,
2012
Shah and
Jose,
2012
Shah and
Jose,
2012
Shah and
Jose,
2012
Shah and
Jose,
2012
Participant Demand
Side
All programme or
other aspects
Panda et
al., 2009 AMC, NS Mishra et
al., 2010 Mishra et
al., 2010 AMC, NS Panda et
al., 2009 Panda et
al., 2009 AMC, NS Panda et
al., 2009 Panda et
al., 2009 AMC, NS Haque,
2012 Haque,
2012 Haque,
2012 Haque,
2012 Haque,
2012 AMC, NS
Ravi and
Engler,
NS
Ravi and
Engler,
NS
Ravi and
Engler,
NS
Panda et
al., 2009
Ravi and
Engler,
NS AMC, NS AMC, NS Pankaj,
2012
AMC, NS
Ravi and
Engler,
NS
Haque,
2012
Ravi and
Engler,
NS
Big gaps
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0
5
10
15
20
25
2009 2010 2011 2012 2013 2014 NS
Simulation Study
Impact evaluation usingquasi-experimentalmethods
Experimental impactevaluation
Rigorous counterfactual studies on NREGA
Big
gap
s
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What gap maps can and can’t do
• Focus on providing a broad overview of the existing
evidence quickly (1-3 months)
• Provide recommendations for research (future evaluations
and systematic reviews)
• Can provide general policy guidance when based on
systematic reviews
• No rigorous synthesis of findings so no in-depth guidance
for policy and programmes
• ‘Global public good’, updated periodically
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Group exercise
• Choose a programme as a group (e.g.
NREGA, Swach Bharat, Jan Dhan, or any
other programme).
• Discuss how you would implement an
‘evidence gap map’ to be policy relevant:
– Which interventions should the map cover?
– Which outcomes should be covered?
– How would you use the information obtained?
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Systematic reviews
• Focus on providing an indepth analysis of the existing
evidence (12-18 months)
• Provide guidance for policy
• Provide guidance for programmes
• May provide guidance for implementers
• Provide guidance for research
• ‘Global public good’, updated periodically
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Systematic reviews answer relevant questions
Policy question Type of review
What difference is made by a
programme (does it work)?
Review of effects drawing on evidence
from counterfactual impact evaluations
How are programmes designed?
Portfolio review of project documentation
What are the important considerations
for implementation (barriers and
enablers)?
Review of implementation, drawing on
factual evidence e.g. process evaluations
and qualitative studies
What are stakeholders’ experiences or
preferences (eg willingness to pay)?
Review of participant views, drawing on
qualitative studies and descriptive
quantitative studies
How efficient is the programme in
turning inputs into outcomes?
Review of cost-effectiveness, cost-utility
and cost-benefit evidence
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Swach Bharat abhiyan
• Half of the world’s open defecators are in
India
• Implications for child health and nutrition,
women’s safety, labour productivity
• Programme objectives include:
– Eradicate open defecation
– Improve toilet facilities
– Behaviour change to healthy sanitation
practices
– Awareness raising on public health
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Water-related disease transmission
Source: Cairncross et al. 2010 (Wagner and Lanoix 1957)
Threshold effects?
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WASH systematic reviews search process
74,181 records identified through database search
Scre
en
ing
In
clu
de
d
Elig
ibili
ty
Id
en
tifi
cati
on
1,024 records identified through other sources
49,472 records after duplicates removed
1,869 records screened
47,603 records irrelevant
225 full-text articles assessed
120 full-text articles excluded
137 studies included in quantitative
synthesis of effects
44 studies included in qualitative synthesis
‘Factual’ evaluation
studies
‘Counterfactual’ impact
evaluation studies
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Hierarchies of evidence
Causal chain area Type of evidence Programme design
Implementation fidelity
Project and programme
documents
Beneficiary targeting
Implementation performance
Beneficiary views about programme
‘Factual’ evidence (qualitative
and/or quantitative)
Impacts on beneficiaries
Impacts on non-beneficiaries
Societal and economy-wide impacts
‘Counterfactual evidence’ (impact
evaluations and simulation
studies)
Efficiency Cost-benefit, cost-effectiveness,
cost-utility evidence
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Evidence from Total Sanitation Campaign
• Odisha (Clasen et al. 2014)
– Modest increase in access to latrines
– But limited use by men and children
– No effect on faecal contamination of wells
and household stored water
– No effect on faecal contamination of
hands
– No impacts on reported diarrhoea
• Madhya Pradesh (Patil et al. 2014)
• Modest increase in access to latrines
• Modest reductions in open defecation
• No effect on child health outcomes
(diarrhoea, parasite infection, anemia,
growth)
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Evidence from national hygiene campaigns
• Vietnam:
– Handwashing BCC (not soap) scale-up
through 1) mass media & 2) inter-personal
communication
– No health or productivity effects
• Peru:
– Hygiene promotion through 1) mass media & 2)
community level (health facilities, schools)
– No impacts health or nutrition (compliance measured)
• Bangladesh:
– SHEWA-B local community hygiene promoters
– Low compliance rates & no impacts on diarrhoea or ARIs
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Supply doesn’t create its own demand
• Reduction in child disease rates not observed by carers or seen as substantial enough benefit to warrant costs (money/time) – health education doesn’t work
• Adoption of innovations (social change) is a slow process (early adopters vs. laggards) – role for ‘triggering’ (CLTS)?
• Perceived benefits important (e.g. user satisfaction, time-use, safety) – facility maintenance
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BEHAVIOURAL CONTEXT (Pre-project period)
Individual characteristics and abilities: Age, gender, pre-existing WASH practices, knowledge, skills, self-efficacyHousehold demographics: Socioeconomic status, household structure, religionCommunity/socio-political structure: Social norms, access to WASH technologies and materials, health system structure, governmental policies and financial support
Early introduction
Communities and individuals are first introduced to WASH technologies and promotion messages. • May have previously been exposed, or may be new to campaigns.• WASH technologies or messaging may be new or exciting• Promoter may be viewed as an influential person
Maintenance during project period
Promotion continues to end of intervention period. • Health promoters assist with problems• Participants able to practice behaviours independently
Continued use (short-term) after end of project period
Intervention period ends. Participants practice WASH behaviours without study support. • Messaging and education still “fresh” in participants’ minds• Lack of reminders from promoter visits
Sustained adoption (long-term) after end of project period
Ranges from 6 months to years after project period ends. Captures true behaviour practice without influence of intervention promotion.• Habitual behaviour established• New families unfamiliar with WASH interventions may not practice
behaviour• Cost may be unsustainable
PR
OJE
CT
PER
IOD
PO
ST P
RO
JEC
T P
ERIO
DWASH Technology
Knowledge/skills of WASH behaviour
Early project period:
funding and
technology promotion
Late project period:
promotion stops,
beneficiaries assess
effectiveness
Early post-project
period: funding ends,
messages remain
fresh
Late post-project
period: equipment
break-down,
messages may be lost
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Jan Dhan Yojana
• Open zero-balance bank accounts for 75
million households, including providing
insurance and overdraft facilities
• Aims to eradicate poverty and empower
women
• But will the programme help to empower
women?
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Systematic review on micro-credit
•Effects micro-credit on women’s control over
household spending in L&MICs
•25 impact evaluations found examining
causal relationship
•Majority (15 of the 25) found a positive and
statistically significant relationship
•Do we conclude microcredit is empowering?
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Errors in hypothesis testing
=> This is why we need study replication
and meta-analysis
H0 ‘true’ H0 false
Do not reject H0
No error
Type II error
maybe 20% but
often 40-60%
Reject H0
Type I error
= 5%
No error
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Statistical meta-analysis
•Data-pooling and statistical synthesis of
independent studies
•Aggregating/cumulating samples and findings
•Seeks to measure and control bias
•Explore heterogeneity in findings
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Study Less empowerment More empowerment
0 0=no effect
Showing the result in a forest plot
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India
Study Less empowerment More empowerment
0 0=no effect
Showing the result in a forest plot
Confidence interval
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India
Study Less empowerment More empowerment
0 0=no effect
Showing the result in a forest plot
Confidence interval
-0.1
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India
Study Less empowerment More empowerment
0 0=no effect
Showing the result in a forest plot
Confidence interval
-0.1
Pooled effect
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Overall
Bangladesh
Kyrgyzstan
Morocco
South Africa
India
South Africa
India
Study Less empowerment More empowerment
0 -0.5 0 0.5
Meta-analysis of rigorous study evidence
Standardised mean difference in outcomes
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Implications
“There is no evidence for an effect of microcredit
on women’s control over household spending…
(and) it is therefore very unlikely that, overall,
microcredit has a meaningful and substantial
impact on empowerment processes in a broader
sense.” (Vaessen et al. 2014)
• Provide (separate) bank accounts to women?
• Complementary interventions (business training,
awareness raising)?
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How to make evidence synthesis more relevant?
1. Relevant approach
2. Involve users throughout the study
3. Communicate findings effectively
4. Build capacity
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Group exercise
How would you make evidence synthesis
relevant for the policy cycle?
• Which institutions and decision-makers
(policy/programmes) would you involve?
• When would you involve them?
• What would be the scope of the study?
• How would you communicate findings?
www.3ieimpact.org
“Our skills should be reserved for the evaluation
of policies and programs that can be applied in
more than one setting... The lack of this
knowledge makes us incompetent estimators of
programme impacts, turning out conclusions that
are not only wrong, but are often wrong in
socially destructive ways.”
Donald T. Campbell (1979, p.84)
Thanks: [email protected]
www.3ieimpact.org
A systematic review is NOT a literature review Characteristic Literature reviews Systematic reviews and meta-
analysis
Perspective Espousal of position Neutral representation
Coverage Selective, usually published
literature only
Exhaustive (or representative),
published and unpublished
Audience Scholars Policy makers (and practitioners)
Process Unclear decision making
process
Clear protocol for inclusion or
exclusion, data extraction, analysis
and reporting
Critical appraisal At best, study design
mentioned only
In-depth assessment of internal &
external (and construct) validity
Synthesis method
(impacts) Null-hypothesis significance
testing (‘vote counting’)
Synthesis of effect sizes, studies
weighted by precision
Study team Carried out individually Conducted in teams, double-coding