By the end of the course all learners will be able to:

• Recognize when and in which settings the Classical Model (CM) can be used for performing Structured Expert Judgment
• Understand when to account for uncertainty assessments in complex decision-making context when data pose issues
• Know how CM can be used to analyze expert data and obtain answers to questions of interest
• Explore an optional IDEA Protocol module, which uses a different method of performing Structured Expert Judgment.

Verified learners will have the added benefit of being able to:

• Get an in-depth perspective on the CM method theory
• Access optional modules about dependence elicitation and eliciting probabilities.

WEEK 1: Why and when to use SEJ?

WEEK 2: Statistical accuracy (calibration) and information score

WEEK 3: Performance-based weights and the Decision Maker

WEEK 4: Data analysis

WEEK 5: Applications of CM

WEEK 6: Practical matters (biases, experts, elicitation)

Sithara Buddhini (Sri Lanka) :
“This course was really helpful and informative in allowing us to understand the method even if we do not have any mathematical background. Just after completing this course, I designed a questionnaire according to the method and got amazing feedback and output. I really like the way this course is delivered, it was really simple to grasp the core. There is more research that is using these methods which are really interesting and powerful for analyzing expert judgments.”