Human Inference: Strategies and Shortcomings of Social JudgmentPrentice-Hall, 1980 - 334 pages |
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Page 42
... likelihood estimates often will be biased correspondingly . The representativeness heuristic is used to estimate the likelihood of some state of affairs given knowledge of some other state of affairs , for exam- ple , the likelihood ...
... likelihood estimates often will be biased correspondingly . The representativeness heuristic is used to estimate the likelihood of some state of affairs given knowledge of some other state of affairs , for exam- ple , the likelihood ...
Page 146
... likelihood that I will stub my toe and burn my toast tomorrow morning ap- proaches , as an upper limit , the likelihood of the less probable of these two events . Kahneman & Tversky ( in press ) showed that people violate this obvious ...
... likelihood that I will stub my toe and burn my toast tomorrow morning ap- proaches , as an upper limit , the likelihood of the less probable of these two events . Kahneman & Tversky ( in press ) showed that people violate this obvious ...
Page 258
... likelihood that the student will , as a result of using the strategy , take a course that the majority likes or ... likelihood of a correct decision from .9 to 1.0 . This pattern becomes even clearer when the population proportion shifts ...
... likelihood that the student will , as a result of using the strategy , take a course that the majority likes or ... likelihood of a correct decision from .9 to 1.0 . This pattern becomes even clearer when the population proportion shifts ...
Table des matières
inferential problems and the formal scientific | 8 |
summary | 15 |
the representativeness heuristic | 24 |
Droits d'auteur | |
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Autres éditions - Tout afficher
Human Inference: Strategies and Shortcomings of Social Judgment Richard E. Nisbett,Lee Ross Affichage d'extraits - 1980 |
Expressions et termes fréquents
ability accuracy accurate actors Amos Tversky assessment attribution theory availability heuristic base rates base-rate behavior beliefs bias biased causal analysis causal attribution causal explanations causal theories causes chapter characterization classical conditioning cognitive colleagues concrete condition consensus information consider correlation covariation Daniel Kahneman Daryl Bem debriefing demonstration diagnostic domains effects estimates everyday evidence example experience experimental failure formal fundamental attribution error given human hypothesis Illusory correlation impact important individual inferences inferential strategies inferential tasks influence intuitive scientist judgments Kahneman knowledge structures layperson less likelihood manipulations motivational Nisbett and Wilson normative object observers one's outcomes particular people's perception perseverance person preconceptions predictions predictor primacy effects probably probative problems processes psychology question regression relatively relevant reported representativeness heuristic response Ross sample sample bias schema script seems simple situation Social Psychology sometimes sophomore slump statistical stereotypes stimuli target tendency tion Tversky typical variable versus vivid information