Evaluability Assessment in Program Evaluation

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Evaluability Assessment
critical for successful
Evaluations
 
 
 
By Sylvester Kato
Technical M&E in the BMAU
UEA Conference, February 2019
Kampala Uganda
 
Annual
Evaluation
conference
February 11
th
to 15
th
 2019
 
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Presentation outline
 
Introduction to EA
Where is Evaluability lost
Key steps in evaluability Assessment
Key EA Questions
Crucial Steps
Conclusion
 
 
Evaluability Assessment
 
Evaluability assessment is ‘‘a pre-evaluation appraisal of whether a program’s
performance can be evaluated and if so whether it should be’’ (Rossi, Freeman, &
Lipsey 1999).
Systematic process to determine whether program evaluation is  feasible.
Decide whether an evaluation is useful to provide timely, relevant  findings for
decision makers.
Evaluation research will be pointless if the program itself cannot be evaluated.
Yes, some type of study is always possible, but a study specifically to identify the
effects of a particular program may not be possible within the available time and
resources.
So researchers may conduct an evaluability assessment to learn this in advance,
rather than expend time and effort on a fruitless project.
 
 
Evaluability Assessment
 
Assesses:
Underlying program logic
Current state of program implementation
Feasibility of conducting rigorous outcomes-focused evaluation or other sorts of evaluation
 
 
Evaluability Assessment
 
L
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Review of Dutch Private Sector Programs
 
    
 2/3 of executed ‘evaluations’ cannot be used
 
  Major reasons:
 
 
- Evaluation agency not fully independent
 
 
- stated objectives too broad/vague
 
 
- no clear indicators defined
 
 
- data at too 
aggregate
 level
 
 
- absence of baseline data
 
 
- no representative sampling
 
 
 
- too general intervention theory
 
Key steps in evaluability Assessment
 
Smith (1989): ten steps procedure for
Evaluability Assessment
    
 initial diagnostics
Identify relevant stakeholders
 Define boundaries of the program
 Analyze available program documents
 Clarify intervention theory (goals, resources,
activities, outcomes)
 
 
Key steps in evaluability Assessment
 
 
 Analyze stakeholders perceptions of the
program
 Assess target population(s)
 Discuss differences in outcome perceptions
 Determine plausibility of intervention model
Discuss validity of the program
Decide about continuation (= full evaluation)
 
Key EA Questions
 
1.
Does the program serve the population for whom it was designed?
 
2.
Does the program have the resources (available/used) as scheduled in the
program design?
 
3.
Are the program activities being implemented as designed?
 
 
4. Does the program have the capacity to provide data for
 
    an evaluation?
 
Crucial Steps
 
 
EA has five crucial tasks that an evaluator must successfully complete:
 
 
• Task 1. 
 
Study the program history, design, and operation;
 
• Task 2. 
 
Watch the program in action (participants)
 
• Task 3. 
 
Determine the program’s capacity for data collection,
 
   
  
management and analysis;
 
• Task 4. 
 
Assess the likelihood that the program will reach its
 
   
  
goals and objectives (
consistency
)
 
• Task 5. 
 
Show whether an evaluation is feasibly (will help the
 
program and its stakeholders).
 
Conclusion
 
 
The overall purpose of an Evaluability Assessment is to inform the timing of an
evaluation and to improve the prospects for an evaluation producing useful
results.
 
Evaluability assessments can be configured to cast new light on developments in
the field families or clusters of policies and programs.
 
Although the most common focus of an Evaluability Assessment is a single
project, Evaluability Assessments should also been carried out on sets of
projects, policy areas, country strategies, strategic plans, work plans, and
partnerships to increase chances of utilization
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Evaluability Assessment is a critical pre-evaluation appraisal to determine if a program's performance can be evaluated. It assesses the program logic, implementation status, and feasibility for conducting rigorous evaluations. Loss of evaluability can occur due to various factors, as highlighted in the review of Dutch private sector programs. Key steps in evaluability assessment involve initial diagnostics, stakeholder identification, defining program boundaries, analyzing program documents, and clarifying intervention theory.

  • Evaluability Assessment
  • Program Evaluation
  • Stakeholders
  • Program Logic
  • Implementation

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  1. Evaluability Assessment critical for successful Evaluations By Sylvester Kato Technical M&E in the BMAU UEA Conference, February 2019 Kampala Uganda Annual Evaluation conference February 11th to 15th2019

  2. Evaluability Assessment Evaluability Assessment

  3. Presentation outline Introduction to EA Where is Evaluability lost Key steps in evaluability Assessment Key EA Questions Crucial Steps Conclusion

  4. EvaluabilityAssessment Evaluability assessment is a pre-evaluation appraisal of whether a program s performance can be evaluated and if so whether it should be (Rossi, Freeman, & Lipsey 1999). Systematic process to determine whether program evaluation is feasible. Decide whether an evaluation is useful to provide timely, relevant findings for decision makers. Evaluation research will be pointless if the program itself cannot be evaluated. Yes, some type of study is always possible, but a study specifically to identify the effects of a particular program may not be possible within the available time and resources. So researchers may conduct an evaluability assessment to learn this in advance, rather than expend time and effort on a fruitless project.

  5. EvaluabilityAssessment Assesses: Underlying program logic Current state of program implementation Feasibility of conducting rigorous outcomes-focused evaluation or other sorts of evaluation

  6. Evaluability Assessment

  7. Loss of Evaluability Loss of Evaluability Review of Dutch Private Sector Programs 2/3 of executed evaluations cannot be used Major reasons: - Evaluation agency not fully independent - stated objectives too broad/vague - no clear indicators defined - data at too aggregate level - absence of baseline data - no representative sampling - too general intervention theory

  8. Key steps in evaluability Assessment Smith (1989): ten steps procedure for Evaluability Assessment initial diagnostics Identify relevant stakeholders Define boundaries of the program Analyze available program documents Clarify intervention theory (goals, resources, activities, outcomes)

  9. Key steps in evaluability Assessment Analyze stakeholders perceptions of the program Assess target population(s) Discuss differences in outcome perceptions Determine plausibility of intervention model Discuss validity of the program Decide about continuation (= full evaluation)

  10. Key EA Questions 1.Does the program serve the population for whom it was designed? 2.Does the program have the resources (available/used) as scheduled in the program design? 3.Are the program activities being implemented as designed? 4. Does the program have the capacity to provide data for an evaluation?

  11. Crucial Steps EA has five crucial tasks that an evaluator must successfully complete: Task 1. Task 2. Task 3. Study the program history, design, and operation; Watch the program in action (participants) Determine the program s capacity for data collection, management and analysis; Assess the likelihood that the program will reach its goals and objectives (consistency) Show whether an evaluation is feasibly (will help the program and its stakeholders). Task 4. Task 5.

  12. Conclusion The overall purpose of an Evaluability Assessment is to inform the timing of an evaluation and to improve the prospects for an evaluation producing useful results. Evaluability assessments can be configured to cast new light on developments in the field families or clusters of policies and programs. Although the most common focus of an Evaluability Assessment is a single project, Evaluability Assessments should also been carried out on sets of projects, policy areas, country strategies, strategic plans, work plans, and partnerships to increase chances of utilization

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