changing evaluation landscape Flashcards
evaluation basics
systemic and objective assessment of an on-going or completed policy, program or project focusing on its design, implementation and results.
aim and purpose of evaluation
determine the relevance and results of policies, programmes and projects:
Results:
- effectiveness
- efficiency
- impact
- sustainability
provide a basis for accountability
evaluation basics
evaluators have to simply live with tensions
a strong backbone is needed: do not give in to pressure and remain independent and credible. stakeholders may try to influence:
- evaluation programming
- content of the terms of reference
- review of evaluation findings
- attack independence of the evaluators & methods
credible evaluation will ultimately provide a ‘body of knowledge’ resulting in chance and adaptation of policy and practice
Randomised control trials (RCTs)
- comes from the health sector
- the randomistas generate data on development effects
- focus on identification of causal effects
- key advantage: clear identification ./ any difference
between treatment and control must be due to
treatment - development intervention as experiment
- external validity
- often short term studies
attribution (prefferably ex durant)
- comparison helps ex post understanding of effects of an intervention>
- does it claim causal effects that aren’t there?
- how measurable is development?
problems in evaluation
- simple models risk overstating causal contribution
- more likely to represent a single theory of change
- anxiety provoked by uncertainty and ambiguity can lead managers and evaluators to seek the reassurance of a simple logic model
Complex systems
difference between complex and complicated:
Complex is used to refer to the level of components in a system. If a problem is complex, it means that it has many components. Complexity does not evoke difficulty.
On the other hand, complicated refers to a high level of difficulty. If a problem is complicated, there might be or might not be many parts but it will certainly take a lot of hard work to solve.
Rogers (2008) says: complex adaptive systems are composed of a diversity of agents that interact with each other, mutually affect each other, and in so doing generate novel behavior for the system as a whole.
complexity science
- theory transfer
- structural representation / surrogate reasoning
- holistic / systems theory
- two approaches for social scientist
- main themes: non- linearity / emergence / far-from-equilibrium