Canadian Evaluation Society Conference – Day 3

Today is the last day of the Canadian Evaluation Society conference in Victoria. And, as I did yesterday and the day before, I’m using my blog as a dumping ground for my conference notes.  For my regular blog readers, again please feel free to ignore these postings and I really, really promise to blog about whatever shiny thing happens to catch my attention again soon.

Addressing challenges in tobacco control strategy evaluation

  • complexity
    • multiplicity of goals, multiplicity of partners, multiplicity of interventions
    • interactions among interventions
    • expectations of synergies
    • nonlinearity and feedback loops
    • tipping points (e.g., if we got the % of the population who smoke below a certain point, it will change the climate – e.g., may make it possible to implement policies that couldn’t be implemented before
  • challenges:
    • program evaluators usually trained in evaluating a single program intervention
    • determining population level outcomes (paucity of good data)
    • obtaining data on resources, inputs and outcomes
    • biggest challenge: attribution of population level outcomes to micro-level interventions
  • classic approaches to complex strategy evaluation include things like comparing communities (e.g., using RCTs or quasi-experimental designs) or comparing regions/states/countries
  • critiques of classic approaches:
    • black box on final outcomes
    • lack of attention to synergies (what mixes? in what sequence?)
    • lack of attention to feedback loops
    • lack of attention to multiplier effects
    • little information to inform strategies
  • approaches that help:
    • thematic evaluation
    • cluster evaluation
    • contribution analysis
  • complex evaluation strategies are needed to evaluate complex strategies
  • complex evaluation strategy:
    • evaluate each of micro, meso and macro levels
    • need knowledge exchange (KE) that includes all stakeholders
    • takes time and money
  • path logic model:
    • an innovative technique for helping understand if and how complex strategies are meeting their goals
    • helps “tell the story” to policymakers
    • useful for identifying the needs for further evaluative  information
  • stages in comprehensive evaluation
    • identify high level macro outcomes
    • determine key evidence-based paths to achieving outcomes
    • identify relevant interventions
    • assess the expected contributions of each path through literature synthesis
    • assess the actual contributions of each path through evaluative information synthesis/contribution analysis
    • assess interactions and synergies
  • can look at which path(s) a given intervention links to

  • can also look at which intervention(s) a given path links to

  • e.g., if very few lines coming from a given path, it suggests there is a gap in interventions that address that path; if there are lots of line, it suggests redundancy (which may or may not be a good thing)
  • all of this takes a long time
  • also, strategies can evolve during the intervening period

Action Items From the Conference

  • read up on “contribution analysis” by John Mayne [note:]
  • check out the dates of the AEA conference [note: November 10-13 in San Antonio, Texas] and European Evaluation Society [note: October 6-8 in Prague]
  • get a copy of the Treasury Board’s 2009 policy on evaluation
  • write my personal philosophy of evaluation statement (like a teaching philosophy). [This wasn’t talked about specifically at the conference, but I did a lot of thinking about how I approach evaluation and got to thinking that I should write a statement)

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