Human Inference: Strategies and Shortcomings of Social JudgmentPrentice-Hall, 1980 - 334 pages |
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Page 71
... biased coding " literature is the set or primacy effect . Once people have formed a strong theory or expectation of what the data will look like , they sometimes fail to examine the particulars of the case . For example , Jones , Rock ...
... biased coding " literature is the set or primacy effect . Once people have formed a strong theory or expectation of what the data will look like , they sometimes fail to examine the particulars of the case . For example , Jones , Rock ...
Page 88
... biased selection . People's failure to appreciate sampling theory will not leave them defenseless against all biased data samples . Indeed , most people are armed with a variety of scripts , schemas , theories , and maxims that make ...
... biased selection . People's failure to appreciate sampling theory will not leave them defenseless against all biased data samples . Indeed , most people are armed with a variety of scripts , schemas , theories , and maxims that make ...
Page 262
... biased by his nervousness and uncertainty about the in- teraction . Unfortunately , as we noted earlier , most of these same professors are not similarly experienced in dealing with job candidates . They do not give the same benefit of ...
... biased by his nervousness and uncertainty about the in- teraction . Unfortunately , as we noted earlier , most of these same professors are not similarly experienced in dealing with job candidates . They do not give the same benefit of ...
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 accounts accurate action actor actual applied appropriate asked assessment associated attribution authors base rates behavior beliefs biased causal causes chapter characterization clear cognitive concern condition consider considerations correct costs course covariation decision demonstration discussed effects errors estimates evidence example expected experience explanations extreme fact fail failure formal given heuristic highly human important individual inferences inferential influence instance interpretation intuitive judgments knowledge layperson least less likelihood limited mean motivational Nisbett normative noted object observers one's outcomes particular people's perception performance perhaps person position possible predictions presented probably problems processes produce psychology question reason recognize reflect regression relatively relevant reported representativeness response result rules sample schema scientist seems showed similar simple situation social sometimes statistical stereotypes strategies student subjects success suggested tasks theory tion typically understanding vivid weight