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Use of Tablet Computers to Implement the Local Governance Performance Index (LGPI) in Tunisia

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Use of Tablet Computers to Implement

the Local Governance Performance

Index (LGPI) in Tunisia

 

 

Lindsay J. Benstead - Assistant Professor of Political Science, Portland State University

Kristen Kao - Research Fellow, The Program on Governance and Local Development, University of Gothenburg Pierre F. Landry - Professor of Political Science, Director of Global China Studies, New York University - Shanghai

Ellen M. Lust - Professor of Political Science, University of Gothenburg, Director of the Program on Governance and Local Development Dhafer Malouche - Associate Professor of Statistics, University of Carthage

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-­‐

What  are  the  poten+al  benefits  and  drawbacks  

to  CAPI?  

-­‐

Drawn  from  Experience  with  Local  Governance  

Performance  Index  (LGPI)  in  Tunisia,  2015  

-­‐

Examine  Opportuni+es,  Challenges  and  

Recommenda+ons  across  the  Survey  Process.  

 

 

(3)

 

Inspired  by  Public  Administra+on  Performance  Index  (PAPI),  Vietnam      

Designed  to:      

-­‐  Provide  a  catalyst  for  policy-­‐relevant  research  on  governance  and  local   development  

-­‐  Develop  a  database  of  consistent  measurement  tools  to  tap  into   varia+on  at  na+onal  and  sub-­‐na+onal  levels    

-­‐  Answer  key  theore+cal  and  substan+ve  ques+ons  regarding   governance  and  development  

-­‐  Disseminate  findings  through  academic  publica+ons  and  on-­‐the-­‐ ground  workshops  and  websites,  through  local  partnerships  

 

Measures  dimensions  of  local  performance:      

-­‐  Poli+cal  Par+cipa+on,  Corrup+on,  Ver+cal  Accountability,  Service   Delivery  -­‐-­‐  Security,  Health,  Educa+on  

 

 

(4)

       

(5)

Sampling

 

Process:    

-­‐

6  of  24  governorates  

-­‐

Households  randomly  sampled  using  PPS      

-­‐

Points  of  light  data  used  as  a  proxy  for  local  popula=on  

density

 

 

 

 

 

 

(6)

Sampling

 

Opportuni+es:    

-­‐

Random  selec=on  of  the  respondent  (the  “Kish  grid”)  greatly  

-­‐

Can  determine  if  the  interviewers  went  to  the  correct  

loca=on    

Challenges:    

-­‐

Does  not  fully  solve  the  challenge  of  sampling  manipula=on  

by  interviewers  

Recommenda+ons:  

-­‐

Time-­‐stamps  should  be  used  to  aid  in  data  forensics.    

-­‐

Do  not  allow  survey  to  go  backwards  and  redo  the  Kish  table.    

-­‐

Program  the  =mer  to  stop  when  interviews  are  suspended  

and  to  note  when  cases  are  closed  and  reopened    

 

 

 

 

 

(7)

The  Tool  and  the  Technology

 

-­‐  Import  tablets  into  the  country  or  purchase  locally  

-­‐  Research  the  benefits  of  alterna+ve  survey  programs  

-­‐  Consider  specific  needs  (language  capabili+es),  before  

purchasing  

(8)

Ques+onnaire  Development  and  Programming

 

Opportuni+es:    

-­‐  The  development  and  implementa=on  of  complex  ques=onnaires    

-­‐  Capabili=es  for  randomiza=on  of  ques=ons  and  response  order    

-­‐  Embedding  of  color  photos,  audio  clips  and  QxQs    

-­‐  Interviewer  instruc=ons  and  rules  for  answering  ques=ons  are  easy  

Challenges:    

-­‐  Mistakes  can  be  easily  made  in  programming  complex  surveys  

-­‐  Steep  learning  curve  in  implemen=ng  surveys  by  tablet  

Recommenda+ons:  

-­‐  Budget  =me  for  learning  the  capabili=es  and  limita=ons  of  the  soSware  

-­‐  Program  the  survey  directly  into  the  tablets  

-­‐  Create  standardized  scheme  for  coding;  implement  early  on  

-­‐  Think  through  how  earlier  randomiza=on  procedures  may  affect  later  

ones  

(9)

Pre-­‐Tes+ng  and  Pilo+ng

 

Opportuni+es:    

-­‐

Maximum  benefit  from  a  field  pilot  because  the  data  

is  coded  immediately    

-­‐

Easier  and  less  conspicuous  use  of  recording  focus  

groups,  behavior  coding,  and  cogni=ve  interviewing    

 

Challenges:    

-­‐

Programming  must  be  verified  to  avoid  costly  errors  

-­‐

Pre-­‐tes=ng  and  pilo=ng  is  both  about  programming  

and  ques=on  wording  and  should  be  done  on  tablets  

Recommenda+ons:  

-­‐

Run  pre-­‐tests  mul=ple  =mes  and  pilot  a  few  weeks  

before  you  want  to  field  

-­‐

Write  the  costs  of  using  these  techniques  into  grants  

and  contracts

 

 

 

(10)

Field  Material  Prepara+on

 

Opportuni+es:    

-­‐

Tablets  allow  for  easy  revisions  to  the  survey,  even  as  

fielding  approaches    

Challenges:    

-­‐

Tablets  require  addi=onal  considera=ons  to  ensure  that  

researchers  are  not  in  the  field  without  appropriate  

survey  instruments    

Recommenda+ons:  

-­‐

Implemen=ng  surveys  with  tablets  requires  adjustments  

in  field  material  prepara=on  

 

 

(11)

Interviewer  Recruitment  and  Training

 

Opportuni+es:    

-­‐

Interviewers  appeared  to  generally  enjoy  and  prefer  working  with  

tablets  

 

Challenges:    

-­‐

Enumerators  must  learn  how  to  use  the  tablets  

-­‐

Requires  beYer  prepara=on  of  field  materials  

-­‐

Enumerators  could  be  targets  for  theS.  

 

Recommenda+ons:  

-­‐

Hire  interviewers  who  are  comfortable  with  technology  

-­‐

Create  a  system  for  locking  and  storing  tablets    

(12)

Conduc+ng  Interviews

 

Opportuni+es:    

-­‐  Cuts  out  hassle  of  paper-­‐based  surveys  

-­‐  Less  poten=al  for  interviewer  error  in  using  showcards  or  other  tools    

-­‐  Assures  addi=onal  data  collected  is  linked  to  the  correct  interviews    

Challenges:    

-­‐  Interviewers  need  to  remember  to  charge  tablets,  upload  surveys,  etc.  

-­‐  Poor  connec=vity  makes  uploading  new  survey  versions  difficult  

-­‐  Changing  previous  responses  can  disrupt  randomiza=on  paYerns  

-­‐  Difficul=es  for  supervisors  to  review  the  survey  and  track  quality  

 

Recommenda+ons:  

-­‐  Implement  measures  to  assure  the  technology  works    

-­‐  Find  ways  to  help  supervisors  review  the  survey    

-­‐  Be  strategic  about  where  it  is  possible  to  go  backwards  in  the  survey    

(13)

Quality-­‐Control  and  Data  Forensics  

Opportuni+es:    

-­‐  Reviewing  data  every  night  allows  for  early  iden=fica=on  of  need  for  more   training  or  possible  chea=ng    

-­‐  Recording  interviews  may  be  a  way  to  validate  data     -­‐  Detec=on  of  errors  before  survey  is  complete    

-­‐  Reduces  chance  that  human  error  affects  the  data  collec=on  process    

Challenges:    

-­‐  Data  uploading  for  review  in  the  field  due  to  lack  of  connec=vity       -­‐  Labeling  and  cleaning  variables  can  be  =me  consuming    

Recommenda+ons:  

-­‐  Use  tablet  features  in  data  forensics,  par=cularly  =me  stamps.    

-­‐  Require  supervisors  to  approve  surveys  before  they  enter  the  database     -­‐  Upload  data  as  soon  as  possible  to  the  servers    

-­‐  Check  the  background  of  survey  firm  and  have  strict  protocols  in  place   should  data  falsifica=on  occur    

-­‐  Download  all  versions  of  collected  data  that  are  available    

(14)

Addi+onal  Considera+ons  

General  infrastructure  issues/environments:    

-­‐  While  tablets  do  not  require  a  permanent  connec=on  to  the  internet,  it  is        

advisable  to  ensure  that  country  or  region  where  the  study  is  conducted  has  a   basic  public  service  infrastructure    

 

Ethical  considera+ons:    

-­‐  Tablets  streamline  data  collec=on,  boost  interviewer  professionalism,  and  may  

offer  respondents  an  increased  sense  of  confiden=ality,  ul=mately  increasing   par=cipa=on  and  item  response  rates.  Yet,  the  technology  also  presents  new   risks  to  poten=al  par=cipants.    

 

(15)

Future  Research

 

-­‐

Mode  studies  (e.g.  face-­‐to-­‐face  vs.  tablet  interviews)    

should  be  implemented  to  assess  how  the  use  of  

tablet  computers  affects  par+cipa+on  rates,  item  

response  rates,  and  data  quality,  especially  for  

sensi+ve  ques+ons

 

 

-­‐

Tablets  offer  unprecedented  opportuni+es  for  

survey  experiments,  which  can  include  audio  or  

video  recordings,  photos,  or  standard  text,  offering  

different  frames,  ques+on  wordings,  or  visual  s+muli  

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