converge · Analysis, Evaluation · 60–120 min · 2-10 people · low energy

Check Dose-Response Patterns

This method examines the relationship between the amount of intervention received (dose) and the resulting outcome (response) to determine causality. It's valuable for confirming whether the intervention's intensity correlates with the observed impact.

When to use Check Dose-Response Patterns

Use this method when you have quantitative data on both the intervention's dosage and the outcomes to statistically analyze their correlation.

What it solves

Unclear causal link, difficulty proving impact.

How to run Check Dose-Response Patterns, step by step

  1. Gather data on intervention dosage and outcomes (30 min).
  2. Create scatter plots to visualize the relationship (30 min).
  3. Perform regression analysis to quantify the dose-response relationship (60 min).
  4. Interpret the results and draw conclusions about causality (30 min).

Materials needed

  • Dosage data
  • Outcome data
  • Statistical software (e.g., Excel, R)
  • Presentation software

Facilitator tips

  • Control for confounding variables that may influence the outcome.
  • Consider non-linear relationships between dose and response.

Common pitfalls

  • Spurious correlations: Ensure a plausible causal mechanism exists.
  • Data quality issues: Clean and validate the data before analysis.

Variations

  • Qualitative dose-response assessment using case studies

Running it online or hybrid

Share data visualizations via screen sharing; use breakout rooms for small group analysis.

What it produces

Scatter plots, regression analysis results, and a report summarizing the dose-response relationship.

Origin

Adapted from BetterEvaluation.org — source

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