changing evaluation landscape Flashcards

1
Q

evaluation basics

A

systemic and objective assessment of an on-going or completed policy, program or project focusing on its design, implementation and results.

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2
Q

aim and purpose of evaluation

A

determine the relevance and results of policies, programmes and projects:

Results:

  • effectiveness
  • efficiency
  • impact
  • sustainability

provide a basis for accountability

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3
Q

evaluation basics

A

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

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4
Q

Randomised control trials (RCTs)

A
  • 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
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5
Q

attribution (prefferably ex durant)

A
  • comparison helps ex post understanding of effects of an intervention>
  • does it claim causal effects that aren’t there?
  • how measurable is development?
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6
Q

problems in evaluation

A
  • 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
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7
Q

Complex systems

A

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.

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8
Q

complexity science

A
  • theory transfer
  • structural representation / surrogate reasoning
  • holistic / systems theory
  • two approaches for social scientist
  • main themes: non- linearity / emergence / far-from-equilibrium
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