Survey results are used in cross-impact analysis
Cross-impact analysis makes an effort to link associations between variables and events.
What is cross-impact analysis?
Cross-impact analysis makes an effort to link associations between variables and events. The most probable or likely events or scenarios within a certain time frame are determined by categorizing these relationships as positive or negative in relation to one another.
Theodore Gordon and Olaf Helmer created the cross-impact analysis methodology in 1966 to assist determine how links between events might affect subsequent occurrences and lessen future uncertainty.
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