This book proposes that environmental information samples are biased and cognitive processes are not.
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Klaus Fiedler is Professor of Psychology at University of Heidelberg in Germany. Among his main research interests are cognitive social psychology, language and communication, social memory, inductive cognitive processes in judgment and decision making, and computer modeling of the human mind. Professor Fiedler was the winner of the 2000 Leibniz Award.
Peter Juslin is Professor of Psychology at Uppsala University in Sweden. He received the Brunswik New Scientist Award in 1994 and the Oscar's Award at Uppsala University in 1996 for young distinguished scientists. He has published a large number of scientific papers in many journals including many articles in the main APA-journals such as Psychology Review.
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Hardcover. Etat : new. Hardcover. A 'sample' is not only a concept from statistics that has penetrated common sense but also a metaphor that has inspired much research and theorizing in current psychology. The sampling approach emphasizes the selectivity and the biases that are inherent in the samples of information input with which judges and decision makers are fed. As environmental samples are rarely random, or representative of the world as a whole, decision making calls for censorship and critical evaluation of the data given. However, even the most intelligent decision makers tend to behave like 'naeive intuitive statisticians': quite sensitive to the data given but uncritical concerning the source of the data. Thus, the vicissitudes of sampling information in the environment together with the failure to monitor and control sampling effects adequately provide a key to re-interpreting findings obtained in the last two decades of research on judgment and decision making. Previous scientific attempts to explain the causes of wrong decisions have mainly focused on shortcomings in the cognitive processing of the information given. This book offers that the input of environmental information samples are biased in the first place, whereas the cognitive processing is often unbiased and remarkably accurate. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780521831598
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Etat : New. This book proposes that environmental information samples are biased and cognitive processes are not. Editor(s): Fiedler, Klaus; Juslin, Peter. Num Pages: 498 pages, 61 b/w illus. 38 tables. BIC Classification: JMR. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 32. Weight in Grams: 767. . 2006. Illustrated. hardcover. . . . . N° de réf. du vendeur V9780521831598
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Hardcover. Etat : new. Hardcover. A 'sample' is not only a concept from statistics that has penetrated common sense but also a metaphor that has inspired much research and theorizing in current psychology. The sampling approach emphasizes the selectivity and the biases that are inherent in the samples of information input with which judges and decision makers are fed. As environmental samples are rarely random, or representative of the world as a whole, decision making calls for censorship and critical evaluation of the data given. However, even the most intelligent decision makers tend to behave like 'naeive intuitive statisticians': quite sensitive to the data given but uncritical concerning the source of the data. Thus, the vicissitudes of sampling information in the environment together with the failure to monitor and control sampling effects adequately provide a key to re-interpreting findings obtained in the last two decades of research on judgment and decision making. Previous scientific attempts to explain the causes of wrong decisions have mainly focused on shortcomings in the cognitive processing of the information given. This book offers that the input of environmental information samples are biased in the first place, whereas the cognitive processing is often unbiased and remarkably accurate. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521831598
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