close · Decision Making, Validation · 30–45 min · 1-5 people · low energy

Doubly-Definitive Test

A 'doubly-definitive test' provides strong evidence that both confirms a particular causal explanation and rules out other explanations. This type of evidence is rare in evaluations.

When to use Doubly-Definitive Test

Use this test when you need to make a definitive statement about the causal relationship between an intervention and an outcome. It provides the strongest possible support for a causal explanation.

What it solves

Need for absolute certainty about the causal relationship, desire to eliminate all alternative explanations, high stakes decision-making.

How to run Doubly-Definitive Test, step by step

  1. Identify potential causal factors that could have contributed to the outcome. (10 minutes)
  2. Gather evidence that would both confirm a particular causal explanation and rule out other explanations. (15 minutes)
  3. Assess whether the evidence meets the criteria for a 'doubly-definitive' test. (10 minutes)
  4. Document the rationale for classifying each factor as having or not having 'doubly-definitive' evidence. (5 minutes)

Materials needed

  • Whiteboard or flip chart
  • Markers
  • Sticky notes
  • Relevant documents and data

Facilitator tips

  • Recognize that 'doubly-definitive' evidence is rare and may not be available.
  • Be extremely rigorous in assessing the evidence and avoid overinterpreting weak evidence.
  • Be prepared to acknowledge the limitations of the evidence, even if it is strong.

Common pitfalls

  • Setting unrealistic expectations: Expecting to find 'doubly-definitive' evidence when it is unlikely to exist. Mitigate by acknowledging the rarity of this type of evidence.
  • Overinterpreting weak evidence: Classifying factors as having 'doubly-definitive' evidence when the evidence is not strong enough. Mitigate by being extremely rigorous in assessing the evidence.

Variations

  • Focus on gathering evidence that strongly supports the causal explanation and weakens alternative explanations, even if it doesn't completely rule them out.
  • Use a Bayesian approach to quantify the strength of the evidence for and against different causal explanations.

Running it online or hybrid

Requires high-bandwidth communication and careful documentation of evidence. May be challenging to achieve consensus remotely.

What it produces

A report summarizing the evidence that both confirms the causal explanation and rules out alternative explanations.

Origin

Adapted from BetterEvaluation.org — source

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