liberia feed the future population-based surveypdf.usaid.gov/pdf_docs/pbaad350.pdfliberia feed the...
TRANSCRIPT
United States Agency for International Development Learning, Evaluation, and Analysis Project
Liberia Feed the Future Population-Based Survey
Presented lo USAID BurcRu for Food Security Thursday, .June 6, 2013
Presented by:
•OPTIMAL '\n1 ll I ION' ( tl~Ol 11'. I I<.
Murk Turner, President, LEAP Chief of Party Christabel Dndzie, LEAP Project Director
Af'\ln Moheshwnri, Software Development Manager
Agenda
Liberia Population-Based Survey Presentation to BFS
• Project Overview and Implementation
• Innovations and Effective Practices
• Capacity Development
• Lessons Learned
• Knowledge Sharing and Information Dise'?".1ination
• Survey Findings
• Questions and Answers
1
Liberia Population Based Survey Prese11tatio11 to BFS
Project Overview and Implementation
Project Assignment
Liberia Population-Based Survey Prese111atio11 to BFS
• Optimal Solutions Group, LLC was tasked to plan, design, and implement a population-based survey (PBS) for the United States Agency for International Development' s (USAID) Feed the Future initiative (FtF) in Liberia between July 2012 and March 2013
• Project Objectives:
)' Conduct a FtF baseline PBS in a defined Zone of Influence, and produce associated reports
)' Build capacity of the University of Liberia Pacific Institute of Research and Evaluation (UL-PIRE)
2
Liberia Population-Based Survey Prese11tatio11 to BFS
Overall PBS Implementation Plan • Needs assessment and planning • Initiation of capacity development activities • Dcvclo mcnt of recruitment and train in timeline
• On-the-job training • Field testing • Assessments
• Survey implementation • Field operations and monitoring • Data upload and quality assurance
)
Liberia Population Based Survey Final Pre!;e11tatio11
Innovations and Effective Practices
3
Liberia Population Based Survey Fbwl Prese11tatio11
Quality Assurance-Near Real Time Analysis
• QA activities leveraged the use of technology to promote tracking efficiently and reliability of the smvey results
})- OPS tracking on electronic tablets located surveys and confirmed implementation date and time
})- Dashboard for daily checks on progress and gaps
})- ln depth analysis of survey results every 3 days
• Benefits included:
})- Reduced the occurrence of fraudulent survey responses
})- Provided rapid feedback during implementation to fix errors in near-real time, and share good practices
Use of Dashboard
Liberia Population Based Survey Final Prese11tatio11
• A Dashboard was developed to chart process and check data outputs daily (data was uploaded from ODK to Spotfire)
})- Allowed for efficient sorting of entire data set and tracking on a daily basis
})- Consolidated and arranged dat'a on a single screen for monitoring at a glance
})- Reduced time spent on quality assurance review
})- Allowed for daily feedback to the field to fix errors with identifiers on survey and complete incomplete surveys
4
Liberia Population Based Survey Prese11tatio11 to BPS
QA of Complete and Incomplete Surveys
I WCOMPLffl MOout.Et I
- I_ "' ""
... ... -"" -J ""
• :"Oil'.:
t .... ... ""
1- , ..
"' ... j .
COYo"d!Tl
~
11'-'l\lllY OJITAll.I
- -rf»AU'• tl_,.,
t'.f!.-:"11¥. CO\W\lll
°"'~' " WtOCl(Cbl>f
\o(o.'l'f
. "'"'"" ..... ........... ·~=::~ • cOW\t •t•U CO~rt1 1M CO~l:lltll co~r.n
. ,IWl\1ill1JI
It:~::= ,.~., .. " e:o,,..,•rll•fl
• t<O...._tlitN ,~1110
·~··" ,~, .. ,, • tle.OUUl l .. "'
~:~:::r • • •llCOUl\lll• ... == ::: ..
t!!nnee1, t"°'NI I F '" ' ' ''
....... ......, ..
Liberia Population Based Survey Prese11tatio11 to BFS
QA on trends of Survey Responses I00t1 lht1 houuhold h•"• 1l1ttrlclty? 0Ut1!11n C6unt1 .. uon-e..11 Vl11J1.ll •.
....
'"
5
Liberia Population-Based Survey Pre5·e11tatio11 to BFS
Continuous In Depth QA Analysis
• After completion of surveying in each EA, an in depth analysis on the survey results was conducted and feedback provided to teams
• Survey teams returned to households to complete surveys that were faulty prior to leaving each EA and teams were restructured as needed.
QA Analysis
Appropriateness of EA selection
Check on response rate
Enumerator time spenl on surveys
EA Data Analysis
Commodity analysis (Water, Rice and Charcoal)
Review of survey responses and gaps
I
Liberia Population-Based Survey Prese11tatio11 to BFS
EA Household Selection QA Supervisor 10 EA: 3104 Grade: Poor
.......
. . . . . '
Supervisor 6 EA: 910 Grade: Perfect
6
Commodity Analysis
Liberia Population-Based Survey Prese11tatio11 to BFS
Water is consumed by all respondents, and so provides a rough test regarding the consistency of the recorded responses. Plotted the amount of water consumed by a household in the past week versus the cost of that water
~ 0
~ !l s ~ II o '!I 'I.' 0 0 \! e o 00 0 0 il Ii! OJ ood' o . G> D
~ ,01 D . D ""--
o~ oo o • • 8 0
'fl'" ....... o• 0 0
• • D .,, .. m8ooo Qi dlo D 0 0
0 liO 100 l!IO 200 250 300
A1Mumolil./l11r(om!lon1)
The regression line Is upward sloping a11d correlation betwee111he h1dfcators slg11iflca111fy positive, with a corre/at/011 co·efflcle11/ of 0.26.
Liber ia Population-Based Survey Prese11tatio11 to BFS
Other Effective Practices
• Used electronic equipment for sw·vey implementation to reduce complex data entry given the survey size
• Developed condensed survey form for electronic tablets
• Embedded quality assurance checks
• Provided mitigations for challenges (paper back up; extra tablets)
• Provided templates for documentation for promoting communication and capturing challenges during implementation
• Daily check-ins with survey implementation staff
7
J
Liberia Population Based Survey Presentation to BFS
Capacity Development
Liberia Population-Based Survey Prese11tatio11 to BFS
Building Capacity of a Local Entity: UL-PIRE
• Conducted a needs assessment of UL-PIRE's organizational and staffing capabilities
• Developed a capacity development plan for implementation at each phase
• Matched UL-PIRE team with LEAP staff for mentoring on project assignments (as possible)
• Provided re-training based on evaluations and assessments on various aspects of survey implementation (analytical; technology use; operations; management)
8
Liberia Population-Based Survey Presentation to BFS
Building Capacity of a Local Entity: UL-PIRE
• Created Standard Operating Procedures (SOPs)
• Modified survey instrument to fit the Liberian context
• Recruited, hired, and trained survey implementation staff
• Created operations manuals for survey implementation
• Reviewed all the major components of survey implementation
);;> Design and operations
)ii> Project and financial management
)ii> Data analysis and reporting
Liberia Population-Based Survey Prese11tatio11 to BFS
Lessons Learned
9
Liberia Population-Based Survey Prese11tt1tio11 to BFS
Major Lessons Learned included ...
• Survey instrument (length; recall bias)
• Subcontracting versus consulting with local entity
• Processes for equipment shipment and clearance
• Establishing project protocols for accounting and expense report compliance with local entity
• Managing large teams with varying skill sets
• Effective communication and coordination within and across teams
·USAID Libel'ia Population-Based Survey Prese11talio11 lo BFS
Knowledge Sharing and Information Dissemination
10
Liberia P opulation Based Survey Final Presentatio11
Options for Knowledge Sharing and Information Dissemination
• Final Survey and Capacity Development Rep01ts
)1> Executive Summary
• Project Manuals
)1> Supervisor; Enumerator; Equipment training; Data upload; Operations templates; Quality Assurance; Data Analysis
The following are being developed:
• Project Pamphlet
• Dashboard for data access and dissemination
Libe•·ia Population Based Survey Final Presentation
Survey Findings
11
Sampling Design
> Cluster Sampling
Liberia Population Based Survey Filla/ Presentation
}> Selected from Enumeration Areas (EA's)
)> EAs based on Liberian Census 2008
}> 120 Enumerator Areas
.li> Approximately 20 households per EA
}> Total sample size of 2,400 households
)I> Sampling Design and Framework were based on FtF guidelines and approved by BFS
Survey Results
)I> Five main categories:
)> Demographics
)> Consumption
)> Poverty
)> Hunger
.)i> Women's Empowerment
Liberia Population Based Survey Filla/ Preseutatio11
12
Liberia Population Based Survey Final Prese11tatio11
Demographics Sun·ey data for demoKraphics results
I lo11~..t1olclt1 8111'\"t'.I'" U1·.<p111111t' I lo11,:1•hol1I Sn111pll'cl ('11111plc•lc•t l l'latt• S i:w
llon~ :.150 ;j;j() O.!J!J .i.s C:rn11tl Oni<s11 198 l!l .j
1.c1fo :.!G!l 201 0.117 I. ~lnl'µ.ilii 171< 17(i (J.!HJ .1.f)
~ lomn\'ia '2 807 0.!11 ·I ~ Jo11f 1<Ct'l'llclo I :w 1:1 I O.!JD r .. :1 Ni111h11 1'i•ll .·1 IO 1 r1.2 Unk11ow11 9 1 7 0.07 Ni\ 011l ;.i1k i\ lo11rcl\'ii1 1,li8 1 l ,@5 (J.!HJ (j
To tnl 2,li.'ii 2. 17!1 O.!J:I l.fi
Liberia Population Based Survey Final Prese11tatio11
WEAi
• Measures how much input women have in productive activities and decision-making
• WEA! is a combination of two indices:
• Five Domains of Empowerment (SOE)
• Gender Parity Index (GPI)
Women's Empowerment Scores Baseline value
5DE Index
GPI
WEAi
.66
.95
.69 _u
13
WEAi
Liberia Population Based Survey Final Prese11tatio11
Empowerment by gender in the survey area
E111 pO\\'<'rN l E1u powen.ic I Fcmnk:.: l\ (1\lc~
13onJ!; 0.15 0.2 G rn ncl Dnssa 0.21 0.42
Lo fa 0.18 0 .33 J\Jnrgibi 0.18 o.rn
l.lonrovia ().(Jtl 0.1)8
l\·I o n t.RCl'nl,(!O 0.28 o.:37 Niml>a 0.35 0.55
Outside ~Ionrovia 0.23 o .:JG Total 0.17 0.28
NOTE: Timi~ H'8t1lt11 arn rn>t. wt>i)lhtt'<I m·1·<m li n)!. to thtt snm· p lillV: cfri<i~ll lltlCl t )1111< ou J.\· npply l ll Uw .SllrV<l)' pOpUIH 1 iou .
Liberia Population-Based Survey Prese11tatio11 to BFS
Questions and Answers
14
Liberia Population-Based Survey Presentation to BFS
Thank you! LEAP Contact:
leap@optimalsolutionsgroup,com
Mark Turner, Chief of Party [email protected](J'l1
Christabel Dadzie, Project Director cdadzic@optimalso lutionsgroup, com
OPTIMAL ~<Hl ll'lr \(,~ 11 l',J I<
15