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ADEPT-RBF TRAINING SESSION
BUENOS AIRES, MARCH 2014
OBJECTIVES
1.  Introduce Adept-RBF, a software developed by DEC
ADEPT team in collaboration with RBF team to help
automating administrative data analysis
2.  Provide hands-one experience with using Adept-RBF on
computer
3.  Collect feedbacks on the software for improvements
WHAT IS ADEPT AND
WHY ADEPT-RBF?
ADEPT - THE SOFTWARE PLATFORM FOR
AUTOMATED ECONOMIC ANALYSIS
  Free program designed by DECRG to simplify and
standardize data analysis
  Produces automated tables and graphs from micro-level
survey data
  Exports results in excel which allows for further editing by
users
  Consists of multiple modules (Poverty, Inequality, Labor,
Gender, Education, Health, and Social Protection)
  ADEPT-HEALTH module typically uses DHS, WHS, LSMS
for equity analysis in service utilization, health outcomes,
and expenditure.
ADEPT-RBF FOR RBF OP DATA
  Makes it easy and fast to analyze data (no need Stata or
internet)
  Assures accuracy of data analysis
  Produces standardized statistics and facilitates comparison
among facilities, districts, IE groups, countries, etc.
  Imposes almost no cost to teams, hence very sustainable
  By unloading the burden of data analysis, helps team to
practice regular M&E and focus on results.
THE ADEPT-RBF INTERFACE
AND HOW IT WORKS
INPUT DATA REQUIREMENTS
FOR ADEPT-RBF
DATA REQUIREMENTS
  Data format: Stata or Delimited Text files
  Data files list:
•  Facility identity: ID, region, district, IE group,…
•  Quantitative indicators
•  Qualitative indicators
•  Payment data
•  Reference parameters
•  Catchment population
  Files are linked together by the ID variable, so it’s important to
have a unique numeric ID for each facility
DESCRIPTION OF DATASETS
!"#$%&'$ ($)*+",-".% /.-$
!"#$%&'()*+&,-(
.()*+*-/012*3'456(-*437289:25;<*43:2
,*1-5*)-:28=2<54>?:2>5@(3A5>5(+:2
?5*B(-;A?>@+*):C
8926>1-2@;2>3*D>;E2FG;2
,(-(1;-2*12(+H(/125;D>*5;,2'452
!9;IF2J".2-42H45K
!"#$L&D>(3-*-/&,-(
M>(3-*-/2,(-(1;-7289:2/;(5:2?;5*4,2
N643-GAD>(5-;5O:2D>(3-*-/2B(5*(@+;1
892H*++2@;2>1;,2-426;5<;2H*-G2
-G;2%&'()*+&,-(2,(-(1;-
!"#$P&D>(+*-/&,-(
M>(3-*-/2,(-(1;-7289:2/;(5:2?;5*4,2
N643-GAD>(5-;5O:2D>(+*-/2B(5*(@+;172
D>(+*-/21)45;2(3,2)46?43;3-1
892H*++2@;2>1;,2-426;5<;2H*-G2
-G;2%&'()*+&,-(2,(-(1;-
!"#$Q&?(/6;3-&,-(
I(/6;3-2,(-(1;-7289:2/;(5:2?;5*4,2
N643-GAD>(5-;5O:2?(/6;3-2B(5*(@+;172
-4-(+2J".2?(/6;3-:2;D>*-/2?(/6;3-:2
D>(+*-/2@43>1:2)46?43;3-1:C
892H*++2@;2>1;,2-426;5<;2H*-G2
-G;2%&'()*+&,-(2,(-(1;-
!"#$R&5;';5;3);&,-(
J;';5;3);2?(5(6;-;5172+;B;+2*92
5;<*43(+289:2?(5(6;-;512N)5>,;2@*5-G2
5(-;:CO2>1;,2-42)(+)>+(-;2)4B;5(<;
S>@,*B*1*432+;B;+:2?4?>+(-*432
(3,2)4;''*)*;3-12-42)(+)>+(-;2
,;346*3(-452'452)4B;5(<;
!"#$T&)(-)G6;3-&,-( .()*+*-/U+;B;+2)(-)G6;3-2?4?>+(-*43
892H*++2@;2>1;,2-426;5<;2H*-G2
-G;2%&'()*+&,-(2,(-(1;-E2
)(-)G6;3-2?4?>+(-*43
FIGURE THE DATASETS IN ADEPT
HOW TO PREPARE THE DATASETS?
Standard Procedure:
• Import Data sources into Stata: usually in Excel format
(separate files)
• Construct separate data files on quantity, quality, and
payment
• Create the 5 final datasets with a good naming
convention, variables labeled,…
Current ADEPT version read data in Stata format. Team
is working on a version to read data in Excel format.
FACILITY IDENTITY DATASET IN EXCEL
QUANTITY DATASET IN EXCEL
QUALITY DATASET IN EXCEL
REFERENCE DATASET IN EXCEL
CATCHMENT POPULATION DATASET IN EXCEL

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Annual Results and Impact Evaluation Workshop for RBF - Day Five - Adept-RBF Training Session

  • 2. OBJECTIVES 1.  Introduce Adept-RBF, a software developed by DEC ADEPT team in collaboration with RBF team to help automating administrative data analysis 2.  Provide hands-one experience with using Adept-RBF on computer 3.  Collect feedbacks on the software for improvements
  • 3. WHAT IS ADEPT AND WHY ADEPT-RBF?
  • 4. ADEPT - THE SOFTWARE PLATFORM FOR AUTOMATED ECONOMIC ANALYSIS   Free program designed by DECRG to simplify and standardize data analysis   Produces automated tables and graphs from micro-level survey data   Exports results in excel which allows for further editing by users   Consists of multiple modules (Poverty, Inequality, Labor, Gender, Education, Health, and Social Protection)   ADEPT-HEALTH module typically uses DHS, WHS, LSMS for equity analysis in service utilization, health outcomes, and expenditure.
  • 5. ADEPT-RBF FOR RBF OP DATA   Makes it easy and fast to analyze data (no need Stata or internet)   Assures accuracy of data analysis   Produces standardized statistics and facilitates comparison among facilities, districts, IE groups, countries, etc.   Imposes almost no cost to teams, hence very sustainable   By unloading the burden of data analysis, helps team to practice regular M&E and focus on results.
  • 8. DATA REQUIREMENTS   Data format: Stata or Delimited Text files   Data files list: •  Facility identity: ID, region, district, IE group,… •  Quantitative indicators •  Qualitative indicators •  Payment data •  Reference parameters •  Catchment population   Files are linked together by the ID variable, so it’s important to have a unique numeric ID for each facility
  • 9. DESCRIPTION OF DATASETS !"#$%&'$ ($)*+",-".% /.-$ !"#$%&'()*+&,-( .()*+*-/012*3'456(-*437289:25;<*43:2 ,*1-5*)-:28=2<54>?:2>5@(3A5>5(+:2 ?5*B(-;A?>@+*):C 8926>1-2@;2>3*D>;E2FG;2 ,(-(1;-2*12(+H(/125;D>*5;,2'452 !9;IF2J".2-42H45K !"#$L&D>(3-*-/&,-( M>(3-*-/2,(-(1;-7289:2/;(5:2?;5*4,2 N643-GAD>(5-;5O:2D>(3-*-/2B(5*(@+;1 892H*++2@;2>1;,2-426;5<;2H*-G2 -G;2%&'()*+&,-(2,(-(1;- !"#$P&D>(+*-/&,-( M>(3-*-/2,(-(1;-7289:2/;(5:2?;5*4,2 N643-GAD>(5-;5O:2D>(+*-/2B(5*(@+;172 D>(+*-/21)45;2(3,2)46?43;3-1 892H*++2@;2>1;,2-426;5<;2H*-G2 -G;2%&'()*+&,-(2,(-(1;- !"#$Q&?(/6;3-&,-( I(/6;3-2,(-(1;-7289:2/;(5:2?;5*4,2 N643-GAD>(5-;5O:2?(/6;3-2B(5*(@+;172 -4-(+2J".2?(/6;3-:2;D>*-/2?(/6;3-:2 D>(+*-/2@43>1:2)46?43;3-1:C 892H*++2@;2>1;,2-426;5<;2H*-G2 -G;2%&'()*+&,-(2,(-(1;- !"#$R&5;';5;3);&,-( J;';5;3);2?(5(6;-;5172+;B;+2*92 5;<*43(+289:2?(5(6;-;512N)5>,;2@*5-G2 5(-;:CO2>1;,2-42)(+)>+(-;2)4B;5(<; S>@,*B*1*432+;B;+:2?4?>+(-*432 (3,2)4;''*)*;3-12-42)(+)>+(-;2 ,;346*3(-452'452)4B;5(<; !"#$T&)(-)G6;3-&,-( .()*+*-/U+;B;+2)(-)G6;3-2?4?>+(-*43 892H*++2@;2>1;,2-426;5<;2H*-G2 -G;2%&'()*+&,-(2,(-(1;-E2 )(-)G6;3-2?4?>+(-*43
  • 11. HOW TO PREPARE THE DATASETS? Standard Procedure: • Import Data sources into Stata: usually in Excel format (separate files) • Construct separate data files on quantity, quality, and payment • Create the 5 final datasets with a good naming convention, variables labeled,… Current ADEPT version read data in Stata format. Team is working on a version to read data in Excel format.