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How to design a survey for international aid

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    How to design a surveyfor international aid?

    Dr Mark Griffin

    Australian Development

    Agency for Statistics andInformation Systems

    www.adasis-oz.com

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    Statistics in international aid

    In time gone by financial donorsmight have been happy to givemoney to Africa, with little

    thought as to how the moneywas spent and little expectationof feedback.

    Today there are strong expectations of a clear

    knowledge of the current development context, aclearly identified strategy for achieving potentialchange, a clear method for evaluating the potentialsuccess of an intervention strategy, and careful

    reports to supporting donors all of this comesdown to statistics.

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    Why is statistics needed?

    To understand the extent ofproblems within developingnations

    To identify possible causesof these problems

    To evaluate how well international aid programs

    work

    To argue the worth of a cause with internationalgovernments and financial sponsors

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    ADASIS and meI am a survey methodologist,statistician, and computer engineer

    After a long career at the University of QueenslandI established ADASIS in mid-2011

    I still maintain strong research collaborations withstaff from the School of Population Health, University

    of Queensland

    I also do a wide range of consultancy work,primarily with clients working in international

    development (such as World Vision)

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    World Vision human trafficking

    When World Vision conducts anyof their projects they will typicallyconduct a baseline evaluation at

    the start of the project and afollow-up evaluation at projectclose (typically 3 years later).

    Since February 2013 I have been involved in thestudy design for a baseline survey for a humantrafficking project in Cambodia, China, Laos,Myanmar, Thailand Vietnam.

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    World Vision human trafficking

    A major risk factor for a person toparticipate in human trafficking isa sense of over-optimism.

    This survey will assess an expectedimprovement in knowledge andattitude towards human trafficking in local residents.

    I am currently analyzing data from 10,000households from these countries.

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    World Vision gender-based violence

    I have also been involvedin a baseline evaluation for aproject on gender-based

    violence with World Vision inEurope.

    Some of the indicators that we will be measuringthrough these surveys include the prevalence of

    gender-based violence and the steps that individualstake to avoid gender-based violence.

    This project will be conducted in Bosnia, Georgia,Jerusalem, and Lebanon.

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    Papua New Guinea

    Condom distributionWith 1.28 percent of the adultpopulation estimated by UNAIDS

    to be HIV-positive in 2006, PapuaNew Guinea has one of the mostserious HIV/AIDS epidemics in the Asia-Pacificsubregion.

    Papua New Guinea accounts for 70 percent of thesubregion's HIV cases and is the fourth country(after Thailand, Cambodia, and Burma) to beclassified as having a generalized HIV epidemic.

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    Papua New Guinea

    Condom distributionWithin this project I have beenworking with consultants working

    with the PNG Aids Council.

    I have been involved in the study design for the pilotstage of this project, and we are currently planning

    the second stage.

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    Papua New Guinea

    Condom distributionIn the pilot stage 100 store ownerswere asked about whether they

    distributed condoms and theirattitude towards the distributionof condoms.

    98 of the store owners indicated that condoms

    were never or rarely available in their stores.

    The most commonly cited reason for why storeowners do not distribute condoms is never thoughtabout it.

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    Survey Design

    One approach used within theseevaluations is the use of surveys

    Designing a good survey is a catch-22process.

    You wont be able to develop an idealsurvey until after you have conductedthe survey.

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    Survey Design

    In the mean time you need to makesome educated guesses based uponprior experience, data, and gut

    feeling.

    Within a survey we will learn bothabout the topic of the survey as well asabout how to conduct a survey of thattopic.

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    A good survey questionMisinterpretation of questions

    Tourangeau (2000) identifies seven types

    of misinterpretation:

    Grammatical ambiguity

    Excessive complexity

    Faulty presupposition

    The question makes an assumption about thestate of the world, and then asks theparticipant about this assumption

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    A good survey questionMisinterpretation of questions

    Vague concepts

    What is an alcoholic drink?

    Vague quantifiers

    How often is often ?

    Unfamiliar terms

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    A good survey questionMisinterpretation of questions

    False inferences

    Participants make an assumption about whatthe question is trying to ask.

    They then have two possible questionstheliteral interpretation, and the assumedinterpretation.

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    Survey sampling

    How do we choose a group ofparticipants from a population whichwe think is representative of a larger

    population?

    Two key techniques

    Stratification Clustering

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    Survey sampling - stratification

    In the human trafficking projectperhaps people of a different socio-economic status are at a greater risk?

    We ensure that there is a goodrepresentation of people at high andlow SES within our survey?

    But how do we choose which variablesto stratify against?

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    Survey sampling - stratification

    We need to think carefully about thesevariables.

    A good choice of variables willimprove the accuracy of our results.

    A poor choice of variables will reducethe accuracy of our results.

    Only stratify against those variableswhere we can justify their use.

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    Survey sampling - clustering

    Instead of collecting data from eachvillage within a population we cansave money by collecting more data

    from a few carefully chosen set ofvillages.

    How many villages and how many

    households within a village?

    We need to know the variation thatwe would expect between villages,

    and the variation within a village.

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    Piloting the survey

    There are a large number of things wemight learn from piloting the survey

    We might have a better understanding of

    our population, stratification andclustering.

    Any problems with the logistics involved in

    collecting the data or anymisunderstandings that the interview staff

    had.

    Also want pilot data prior to determining

    the sample size in the follow-up survey.

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    Focus groups with interviewers

    Focus groups with in-countryinterviewers after both the pilot surveyand the main household survey to

    learn about any questions thatparticipants had problems with, or anyproblems with the logistics in

    conducting the survey.

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    Comparison groups

    Comparison groups (collect data onprograms where World Vision is notworking).

    There are often reasons for why WorldVision is working in one village and notanotherthese effects can bereduced through the use of PropensityScore Matching.

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    Are all villages equal?

    World Vision might spend moreresources in some areas compared toothers.

    We might expect more communitychange within those areas wheremore effort was spent.

    Can we include measures of resourcesspend within the data analysis?

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    Analysis Mixed Effects Models

    Within an evaluation we typically datafrom a number of households within anumber of villages.

    We might expect households from thesame village to be more similar thanhouseholds from different villages.

    We need to account for this clusteringwithin our data analysiswecommonly used a mixed effects model

    instead of using standard regression.

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    Analysis spatial maps

    Publicly available data of unexplodedordnance in Laos.

    Which is easier to interpret?

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    Missing data

    Missing data can happen for a varietyof reasons

    We cant contact selected people

    People refuse to be in the survey

    People might physically not be able to

    provide the answers we want (memory

    problems, literacy, etc)

    Are those people that we dont havedata on different to those whose data

    we have?

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    Missing data

    We can have missing data on twolevels

    Individual people (a person is completely

    missing)

    Individual questions (a person is partly

    missing)

    Analysis methods

    Weighting

    Mixed effects models

    Multiple imputation

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    Conclusion

    Statistics in international aid

    Question design

    Survey sampling Piloting the survey

    Spatial mapping

    Missing data

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    Conclusion

    I have purposefully chosen within thisseminar to take a small superficial lookat a very large number of topics that

    have come up in my work with WorldVision to date.

    Each of those topics could easily be a

    one hour seminar in their own right. I would be very happy to explore any

    of those topics in a lot more depth with

    anyone that is interested


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