Comprehensive Course on Evaluation Methods and Impact Measurement

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This comprehensive course covers topics such as evaluation methodologies, impact measurement, randomization, threats analysis, sampling techniques, cost-effectiveness analysis, and more. It also delves into the theory of change, log frame objectives, and practical applications through case studies and lectures. Additionally, the course explores the role of women as policymakers through a detailed case study.


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  1. Measurement Marc Shotland J-PAL Global

  2. Course Overview 1. What is evaluation? 2. Measuring impacts (outcomes, indicators) 3. Why randomize? 4. How to randomize 5. Threats and Analysis 6. Sampling and sample size 7. Cost Effectiveness Analysis and Scaling Up 8. RCT: Start to Finish

  3. Course Overview 1. What is evaluation? 2. Measuring impacts (outcomes, indicators) 3. Why randomize? 4. How to randomize 5. Threats and Analysis 6. Sampling and sample size 7. Cost Effectiveness Analysis and Scaling Up 8. RCT: Start to Finish

  4. Theory of Change Less Diarrhea Contaminated water is primary source of illness Drink Clean water Have access to clean water at come Choose to drink only clean water Access to clean water at source Choose to collect only clean water Understand benefits of clean water Know which water is clean No recontamination Clean method of extracting water Hygiene practices Sufficient water

  5. Log Frame Objectives Hierarchy Lower rates of diarrhea Indicators Sources of Verification Household survey Assumptions / Threats Waterborne disease is primary cause of diarrhea Impact (Goal/ Overall objective) Outcome (Project Objective) Rates of diarrhea Households drink cleaner water ( in) drinking water source; E. coli CFU/100ml E. coli CFU/100ml; Household survey, water quality test at home storage Shift away from dirty sources. No recontamination Outputs Source water is cleaner; Families collect cleaner water Source protection is built Water quality test at source continued maintenance, knowledge of maintenance practices Sufficient materials, funding, manpower Inputs Protection is present, functional Source visits/ surveys (Activities) Source: Roduner, Schlappi (2008) Logical Framework Approach and Outcome Mapping, A constructive Attempt of Synthesis,

  6. Lecture Overview 1. Case Study Review and follow-up 2. Theory of Change, Outcomes, Indicators 3. Indicators: Use in analysis 4. Sources of Data 5. Collecting Data

  7. Women as Policymakers CASE STUDY

  8. What was the main purpose of the 73rd Amendment of India s constitution A. To reserve leadership positions for women (and caste minorities) B. To formalize local institutions of leadership C. To give women the right to vote in local elections

  9. Theory of Change Public goods reflect Women s preferences Women have different preferences Investments reflect women s preferences Pradhan s preferences matter More female pradhans Imperfect democracy Some democracy Reservations for Women Women are empowered

  10. Log Frame Objectives Hierarchy Lower rates of diarrhea Indicators Sources of Verification Household survey Assumptions / Threats Waterborne disease is primary cause of diarrhea Impact (Goal/ Overall objective) Outcome (Project Objective) Rates of diarrhea Households drink cleaner water ( in) drinking water source; E. coli CFU/100ml E. coli CFU/100ml; Household survey, water quality test at home storage Shift away from dirty sources. No recontamination Outputs Source water is cleaner; Families collect cleaner water Source protection is built Water quality test at source continued maintenance, knowledge of maintenance practices Sufficient materials, funding, manpower Inputs Protection is present, functional Source visits/ surveys (Activities) Source: Roduner, Schlappi (2008) Logical Framework Approach and Outcome Mapping, A constructive Attempt of Synthesis,

  11. Data used Sources of Measurement Household (HH) Survey Indicators Declared HH preferences HH perceptions of quality of public goods and services Political experience Investments undertaken Village infrastructure + investments Perception of public good quality Participation of men and women Issues Budgets Balance sheets Who speaks and when (gender) Issues raised Village Leader Interview Village PRA Administrative Data Transcript from village meeting

  12. Results West Bengal Rajasthan Issue W 31% 17% 31% 25% Issue W 54% 13% Reserved Investment 9.09 0.18 Reserved Investment 2.62 -0.08 M M Issue Drinking Water Road Improvement Irrigation Education Investment # facilities Road Condition (0-1) # facilities Informal education center 49% 23% 4% 6% -0.38 -0.06 2% 5% 4% 13% -0.02 20% 12%

  13. Use in analysis INDICATORS

  14. The main challenge in measurement Accuracy Precision

  15. The main challenge in measurement Validity Reliability

  16. Validity How well does the indicator map to the outcome? Standardized Tests, Income, empowerment Are you getting unbiased answers? Social desirability bias (response bias) Framing effect Recall bias Anchoring bias

  17. Reliability The measure is very noisy, but on average, correct

  18. Which is worse? A. Poor Validity B. Poor reliability C. Equally bad D. Depends E. Don t know/can t say

  19. Validity When there s a baseline When there s a comparison group When bias is correlated with treatment

  20. Consistently Biased Baseline Endline Difference truthestimates Treatment Control

  21. Bias is correlated with treatment Baseline Endline Difference truthestimates Treatment Control

  22. Reliability AND Validity Question wording Surveyor training/quality Data entry Translation Length, fatigue

  23. Reliability and error Question wording Definitions Relationships Recall period Answer choice Open/Closed Single v. Multiple option Likert Ranked response Units

  24. How frequently do you drive your car? A. Never B. 1-2 C. 3-5 D. 6-10 E. More than 10 F. Don t know/can t say

  25. The problem With the following questions

  26. Outcome: annual consumption Indicator: food expenditure in last week A. Validity B. Reliability C. Both D. Neither

  27. Outcome: annual consumption Indicator: food expenditure in last three months A. Validity B. Reliability C. Both D. Neither

  28. Question: have you had sex in the past week? [if yes] Did you use protection? A. Validity B. Reliability C. Both D. Neither

  29. Other important considerations Ethics Might affect compliance

  30. Why do you need data? Outcomes Sub-groups Covariates Predictors of compliance

  31. SOURCES OF DATA

  32. Where can we get data? Administrative Data Other Secondary Data Primary Data

  33. Primary Data Collection Self-reported Surveys Exams, tests, etc Games Vignettes Direct Observation Diaries/Logs

  34. Modules Income, consumption, expenditure Perceptions, expectations, aspirations Bargaining power Patience, risk Behavior (time use) Anthropometric Cognitive, Learning Yields

  35. Public good investments Public goods reflect Women s preferences Women have different preferences Investments reflect women s preferences Pradhan s preferences matter More female pradhans Imperfect democracy Some democracy Reservations for Women Women are empowered

  36. Women empowerment? Women empowerment Women have different preferences Investments reflect women s preferences Pradhan s preferences matter More female pradhans Imperfect democracy Some democracy Reservations for Women Women are empowered

  37. Outcome: Gender Bias Question: How effective is your leader? (ineffective, somewhat effective, effective, very ) A. Validity B. Reliability C. Both D. Neither

  38. Perceptions and Attitudes How effective is your leader? (ineffective, somewhat effective, effective, very ) Listen to a Vignette (Male v. Female) Revealed preference voting behavior Implicit Association tests

  39. Implicit Association Test

  40. Enter question text... Academic or Good Practitioner or Bad Happiness

  41. Enter question text... Academic or Bad Practitioner or Good Pleasure

  42. Enter question text... Practitioner or Bad Academic or Good Professor

  43. Enter question text... Practitioner or Good Academic or Bad Happiness

  44. Enter question text... Practitioner or Good Academic or Bad Research

  45. Considerations DATA COLLECTION

  46. Data Collection Considerations Quality Control Surveyor training Surveyor (gender) composition Human subjects Data Security Electronic v paper Costs

  47. When to collect Data Baseline During the intervention Endline Scale-up, intervention

  48. Results from Women Empowerment Significant electoral gains for women in subsequent unreserved elections Changed perceptions of women s ability to lead effectively Heightened career aspirations of adolescent girls and increased level of educational attainment

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