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- W2074400504 abstract "Abstract Impact scalling is a method of forecasting, using expert panelists' judgements of conditional and unconditional probabilities of selected possible future events, as well as the events' likely effects on such indicators as business parameters. Impact scaling to date has used the psychologically plausible INDSCAL (INdividual Differences SCALing) model of Carroll and Chang, to yield a graphic portrayal of the selected events in weighted Euclidean spaces, and to depict differences among individual panelists. Given the recent availability of a discrete psychological model (INDCLUS, for INdividual Differences CLUStering) for representing structure of the events as well as differences among panelists, we demonstrate a more elaborate and versatile set of models for implementing impact scaling. An illustration is provided using panelist of varied professional status to give judgements about impacts of possible future events on various indices of stock market performance. Finally, we consider further extensions of impact scaling to enhance the utility and precision as a model of judgement and method of forecasting." @default.
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- W2074400504 date "1987-11-01" @default.
- W2074400504 modified "2023-09-26" @default.
- W2074400504 title "Impact scaling: Method and application" @default.
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- W2074400504 doi "https://doi.org/10.1016/0040-1625(87)90028-x" @default.
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