Improving statistical reasoning :theoretical models and practical implications
- 作者: Sedlmeier, Peter.
- 出版: Mahwah, N.J. : Lawrence Erlbaum Associates 1999.
- 稽核項: 1 online resource (x, 238 pages) :illustrations.
- 標題: Mathematical statistics. , Electronic books. , MATHEMATICS Probability & Statistics -- General. , Probability & StatisticsGeneral. , MATHEMATICS
- ISBN: 1135705755 , 9781135705756
- ISBN: 9780805832822 , 0805832823 , 9781138003286 , 113800328X
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 216-229) and indexes. 1. Statistical Reasoning: How Good Are We? -- 2. Are People Condemned to Remain Poor Probabilists? -- 3. Prior Training Studies -- 4. What Makes Statistical Training Effective? -- 5. Conjunctive-Probability Training -- 6. Conditional-Probability Training -- 7. Bayesian-Inference Training I -- 8. Bayesian-Inference Training II -- 9. Sample-Size Training I -- 10. A Flexible Urn Model -- 11. Sample-Size Training II -- 12. Implications of Training Results -- 13. Associationist Models of Statistical Reasoning: Architectures and Constraints -- 14. The PASS Model -- 15. Statistical Reasoning: A New Perspective -- App. A. Variations of Bayesian Inference -- App. B. The Law of Large Numbers and Sample-Size Tasks -- App. C. Is There a Future For Null-Hypothesis Testing in Psychology?
- 摘要: "Improving Statistical Reasoning presents new studies of how people think and act on probabilistic information, focusing on the details of how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications of the work are presented in a neural network model of human performance on statistical reasoning problems. This book will be of interest to scholars in the fields of judgment and decision making and cognitive science, and to teachers of statistics and probabilistic reasoning."--Jacket.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=19424
- 系統號: 005286550
- 資料類型: 電子書
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- 引用網址: 複製連結
This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.
來源: Google Book
來源: Google Book
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