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Four key tasks in impact assessment of complex interventions

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Royal Melbourne Institute of Technology, Australia. Different types of ... (MLLE), List of Possible Causes (LOPC) and General Elimination Methodology (GEM) ... – PowerPoint PPT presentation

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Title: Four key tasks in impact assessment of complex interventions


1
Four key tasks in impact assessment of complex
interventions
Professor Patricia Rogers Royal Melbourne
Institute of Technology, Australia
  • Rethinking Impact Understanding theComplexity
    of Poverty and Change
  • 26 - 28 March 2008Cali, Colombia

2
Different types of impact assessment may need
different approaches
  • Purpose
  • Knowledge building for replication and upscaling
  • Knowledge building for learning and improvement
  • Accountability
  • Timing
  • Ex-ante
  • Built into implementation
  • Retrospective

3
Different types of intervention may need
different approaches to impact assessment
  • Simple interventions that can be tightly
    specified and standardized intervention (e.g.
    product, technique)
  • Complicated interventions that are part of a
    larger multi-component intervention
  • Complex, emergent program or policy (e.g.
    community development, natural resources
    management, emergency situation)

4
Four key tasks in impact assessment
  • Decide impacts to be included in assessment
    (conceptualisation of valued impacts)
  • B) Gather evidence of impacts
  • (description of actual impacts)
  • C) Analyse causal attribution or contribution
  • D) Report synthesis of impact evaluation

5
A. Decide impacts to include.
  • Identifying and negotiating impacts to include
  • Not only stated objectives also unintended
    outcomes (positive and negative)
  • Values about good and bad impacts and about the
    distribution of impacts
  • Prioritising information needs
  • Adequate consultation and legitimisation
  • Some approaches
  • Program theory (impact pathway) - possibly
    developing multiple models of the program, eg
    Soft Systems
  • Participatory approaches to values clarification
    eg Most Significant Change

6
B. Gather evidence of impacts.
  • Balancing accuracy, utility, feasibility and
    ethics
  • Dealing with time lags before impacts are evident
  • Avoiding accidental or systematic distortion of
    level of impacts
  • Evidence that is sufficiently comprehensive
  • Making use of existing data as well as additional
    data
  • Some approaches
  • Program theory (impact pathway) identify
    short-term results that can indicate longer-term
    impacts
  • Participatory approaches engaging community in
    evidence gathering to increase reach and
    engagement
  • Real world evaluation mixed methods,
    triangulation, making maximum use of existing
    data, strategic sampling, rapid data collection
    methods

7
Analyse causal contribution or attribution
  • Avoiding false negatives and false positives
  • Systematic search for disconfirming evidence
  • Distinguish between theory failure and
    implementation failure
  • Understanding context implementation
    environment, participant characteristics and
    other interventions
  • Some approaches
  • Addressing through design
  • eg experimental and quasi-experimental designs
  • Addressing through data collection
  • eg Beneficiary Assessment
  • Addressing through iterative analysis and
    collection
  • eg Contribution Analysis, Multiple Levels and
    Lines of Evidence (MLLE), List of Possible Causes
    (LOPC) and General Elimination Methodology (GEM)

8
D. Report synthesis
  • Providing useful information to intended users
  • Balancing overall pattern and detail
  • Assisting uptake/translation of evidence
  • Some approaches
  • Layered reports (1 page, 5 pages, 25 pages)
  • Scenarios showing different outcomes in different
    contexts
  • Workshopping report to support knowledge
    translation

9
Following a Recipe A Rocket to the Moon
Raising a Child
Complicated
Complex
Simple
  • Formulae are critical and necessary
  • Sending one rocket increases assurance that next
    will be ok
  • High level of expertise in many specialized
    fields coordination
  • Rockets similar in critical ways
  • High degree of certainty of outcome
  • Formulae have only a limited application
  • Raising one child gives no assurance of success
    with the next
  • Expertise can help but is not sufficient
    relationships are key
  • Every child is unique
  • Uncertainty of outcome remains
  • The recipe is essential
  • Recipes are tested to assure replicability of
    later efforts
  • No particular expertise knowing how to cook
    increases success
  • Recipes produce standard products
  • Certainty of same results every time

(Diagram from Zimmerman 2003)
10
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11
Types of interventions
12
(No Transcript)
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