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Manage Successful Impact Evaluations
June 5-9, 2017Washington, DC
The course is designed to improve the skills and knowledge of staff and short-term consultants responsible for managing impact evaluations in the field.

The course is designed to improve the skills and knowledge of staff and short-term consultants responsible for managing impact evaluations in the field. The workshop is intended to improve the skills and knowledge of impact evaluation (IE) field coordinators, familiarizing them with critical issues in IE implementation, recurring challenges, and cutting-edge technologies.

The course will cover impact evaluation tools and concepts, but the primary focus is on how to successfully manage impact evaluations in the field. Participants will learn to plan for and supervise high-quality household surveys, to utilize new technologies for electronic surveys and geo-data, to manage complex survey data and produce descriptive analysis for policy makers, to successfully measure cost-effectiveness, to leverage qualitative research techniques for quantitative IEs, and to build client capacity for impact evaluation. Morning sessions will be lecture format, and afternoon sessions will be interactive lab sessions, giving participants a first-hand opportunity to apply what they have learned. All morning sessions will be live-streamed; remote participation is encouraged. 

Objectives:

Participants will learn to:

-        Plan for and supervise high-quality household surveys

-        Utilize new technologies for electronic surveys and geo-data

-        Manage complex survey data & produce descriptive analysis for policymakers

-        Successfully measure cost-effectiveness

-        Leverage qualitative research techniques for quantitative IEs

-        Build client capacity for impact evaluation.

Last Updated: Apr 25, 2017

Download Agenda .

 

Monday, June 5 Location Facilitator
8:30 - 9:00 Registration & Breakfast      
9:00 - 9:15 Welcome & Introductions   Maria Jones
9:15 - 9:45 Preparing for Data Collection Laura Costica
Overall process; timeline; field plan
9:45 - 10:45 Survey Instrument Design & Pilot Maria Jones
Best practices for questionnaire design, protocols for content- and data-focused pilots
10:45 - 11:15 Icebreaker  Lacey Ramirez
11:15 - 11:45 Budgeting for a Successful Survey Laura Costica
Discuss key assumptions and review budget template
11:45 - 12:15 Small Group Exercises: Survey Budget
12:15 - 12:45 Training Data Collectors Marcus Holmlund (TBC) &
Emily Crawford
Survey Protocols & Best Practices for Enumerator Training
12:45 - 1:45 Lunch    
1:45 - 3:15 Lab 1: Stata Tips & Tricks   Track 1: Vincenzo di Maro & Kristoffer Bjarkefur
Track 2: Maria Jones, Mrijan Rimal & Luiza Cardoso
Track 1: General guidance and best practices for beginner Stata users  Track 2: Write code your research team can understand; increase transparency, efficiency, and replicability
3:15 - 3:30 Coffee Break  
3:30 - 5:00 Lab 2: Randomization
   Track 1: Arndt Reichert & Seungmin Lee
Track 2: Serge Adjognon & Kristoffer Bjarkefur
Simple randomization in Stata; tips & things to avoid Stratified randomization in Stata, tips & things to avoid
5:00 - 5:30 Q&A from Day One
   DIME Analytics
6:00 - 8:00 Welcome Reception    
  
Tuesday, June 6
9:00 -9:45 Working with Survey Firms   Maria Jones
Procurement Process (Bank executed & recipient executed), TOR essentials, Troubleshooting common problems
9:45 - 10:15 Small Group Exercises: Survey Firm Challenges
10:15 - 10:30 Coffee Break  
10:30 - 11:15 Data Quality Assurance Plan Laura Costica
Field supervisions, backchecks & survey audits, special considerations for follow-up panel surveys
11:15 - 12:00 Real-time Data Quality Monitoring Kristoffer Bjarkefur
High-frequency checks and communication with field teams
12:00 - 12:45 Effective communication with research team Eric Mvukiyehe & Saahil Karpe
New technologies & tips 
12:45 - 1:45 Lunch    
1:45 - 3:15 Lab 3: Data Management & Cleaning   Track 1: Florence Kondylis & Kristoffer Bjarkefur
Track 2: Paul Christian,
Mrijan Rimal & Sakina Shibuya
Basic principles for file structure and organization; essential data cleaning exercises Data management  for replicability & efficeint workflow; advanced data cleaning exercises
3:15 - 3:30 Coffee Break  
3:30 - 5:00 Lab 4: Real-time data quality checks Track 1: Maria Jones &
Claire Le Barbenchon
Track 2: Saahil Karpe & Kristoffer Bjarkefur
Work with a pre-written do-file for data quality checks; understand and use output Adapt do-file template to check data quality and output flags
5:00 - 5:30 Q&A from Day Two
   DIME Analytics
5:30 - 7:00 Informal Happy Hour (we suggest Tonic @ 2036 G St NW)
  
Wednesday, June 7
9:00 - 9:30 Small Group Exercise: Data quality Assurance Plan   Maria Jones & Laura Costica
9:30 - 10:15 Research Ethics & Data Security Victor Orozco, Laura Costica & Mrijan Rimal
IRB and research ethics; managing confidential data
10:15 - 10:30 Coffee Break  
10:30 - 11:45 How to conduct effective focus groups Rachael Pierotti
interactive session demonstrating qualitative research skills for IE
11:45 - 12:45 Sampling for IE Track 1: Aidan Coville
Track 2: Caio Piza & Maria Jones
Track 1: the intuition of IE sampling and power calculations Track 2: the nitty-gritty of IE sampling and power calucations
12:45 - 1:45 Lunch    
1:45 - 3:15 Lab 5: Power Calculations   Track 1: Aidan Coville (TBC)
Track 2: Maria Jones
& Livia Alfonsi
Track 1: Use Optimal Design for power calculations Track 2: Power calcs in Stata (various command packages)
1:15 - 3:30 Coffee Break  
3:30 - 5:00 Lab 6: Descriptive Analysis Track 1: Dan Rogger & Kristoffer Bjarkefur
Track 2: Kevin Croke
& Luiza Cardoso
Track 1: Generate summary statistics tables; histograms & simple graphs Track 2: How to run balance tests; generate tables and graphs for a policy audience
5:00 - 5:30 Q&A from Day Three
   DIME Analytics
5:30 - 7:00 Informal Happy Hour (we suggest Sauf Haus @ 1216 18th St NW)
   
Thursday, June 8
9:00 - 9:45 Introduction to DIME & Impact Evaluation at the World Bank   Arianna Legovini
9:45 - 10:30 Understanding World Bank Operations (in the context of IE)   Florence Kondylis
project timelines & key players
10:30 - 10:45 Coffee Break    
10:45 - 11:15 "I'm in the field --- now what?"   Susumu Yoshida, Chloe Fernandez & Lacey Ramirez
interact with Country Office and clients; logistics; troubleshoot
11:15 - 11:45 Small Group Exercise: discussions of real field challenges   Lacey Ramirez
11:45 - 12:45 IE and M&E: Better Together   Guadalupe Bedoya
& Amy Dolinger
IE to strengthen M&E systems; monitoring of IE compliance
12:45 - 1:45 Lunch    
1:45 - 5:00 Lab, Track 1: Program a HH Survey using SurveyCTO (beginner) Lab, Track 2: Program a HH Survey using SurveyCTO (intermediate)   Chris Robert & Faizan Diwal (SurveyCTO)
5:00 - 5:30 Q&A from Day Four
   DIME Analytics
5:30-7:00 Informal Happy Hour (we suggest Exchange @ 1719 G St NW)
 
Friday, June 9
9:00 - 11:00 Lab: Dynamic Documents   Florence Kondylis,
Mrijan Rimal & Luiza Cardoso
Learn to integrate LaTex and Stata. Work with a  template to create automatically updated, publication-ready tables.
11:00 - 11:15 Coffee Break    
11:15 - 1:00 Oxford-Style Debate: This house believes that RCTs produce the best evidence for policy change   Bilal Siddiqi (moderator)
1:00 - 2:00 DIME Field Coordinators: Lunch with DIME Team    
2:00 - 5:00 Q&A / help session with DIME Analytics: follow-up on from previous labs, survey questions, or Stata or SurveyCTO help   DIME Analytics

Last Updated: May 08, 2017

Contact Maria Jones
  • Email: mjones5@worldbank.org
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