Scenario testing is a public participation technique that combines visioning (imagining future possibilities) with data analysis (evaluating outcomes based on data-driven models). It involves creating alternative future scenarios, analyzing their impacts using data (e.g., demographic trends, economic forecasts), and engaging the public in choosing a preferred vision. The APA'sAICP Certification Exam Content Outline(2022), under
"Communication and Interaction," describes scenario testing as "a method that integrates visioning with quantitative analysis to explore future outcomes." Options A (surveys) and C (sticky notes) collect input but do not inherently involve data analysis. Option B (nominal group) focuses on consensus-building, not data integration. TheCPC Study Manual(2024) states, "Scenario testing connects community visioning with data analysis by modeling future scenarios and assessing their impacts," supporting option D.
References: APA AICP Certification Exam Content Outline (2022), CPC Study Manual (2024), APA PAS Report on Public Participation Techniques.