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Cognitive Tendencies in Analogical Forecasting 1
Author(s) -
Biela Adam
Publication year - 1988
Publication title -
journal of applied social psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 111
eISSN - 1559-1816
pISSN - 0021-9029
DOI - 10.1111/j.1559-1816.1988.tb01176.x
Subject(s) - pessimism , optimism , psychology , cognition , process (computing) , social psychology , cognitive psychology , epistemology , computer science , psychiatry , philosophy , operating system
This article attempts to identify some cognitive tendencies involved in analogical forecasting of the outcomes of medical treatment. Sixty‐one medical doctors were involved in two experimental tasks concerned with prediction of the outcomes of a new medical treatment when the result with a first patient was known to be either negative or positive. The same subjects were also tested by the Short Optimism/Pessimism Questionnaire (SO/PQ) to explore relationships between life attitude and the cognitive tendencies observed in the experiment. The following findings were reported: (1) The first step of forecasting was recognized as a Data Evaluation Process (DEP), where the physician decides if the given data are sufficient to forecast the result of the same treatment with a new patient. (2) Two cognitive tendencies were identified: non‐data‐suggested tendency—drawing a conclusion opposite to the data given; and data‐suggested tendency—drawing an optimistic conclusion when forecasting from “positive” data and a pessimistic conclusion when forecasting from “negative” data. The second tendency appeared to be dominant; however, the “positive” data created a stronger atmosphere to draw conclusions on a negative outcome. (3) It was stated that analogical forecasting involves two integrated processes, i.e., concluding and asserting. If the integration process is not complete, the subject is drawing analogical conclusions with a low confidence. (4) An optimistic life attitude appeared to be an important factor in determining analogical forecasting.
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