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论坛 计量经济学与统计论坛 五区 计量经济学与统计软件 IRT理论相关软件
1725 8
2016-01-14
第一天做版主,传点干货,增加人气,稍微收取点论坛币。下面是亚马逊书籍介绍,大家如果觉得书籍不错,支持下正版,可以去国外亚马逊购买kindle 版本。
媒体推荐                                 "This book inhabits an important space in the current market for educational and psychological assessment and is very sorely needed."  
-André A. Rupp, University of Maryland

作者简介                                 Jacqueline P. Leighton is Professor of Educational Psychology and Director of the Centre for Research in Applied Measurement and Evaluation (CRAME). She is also registered as a psychologist by the College of Alberta Psychologists. Her specialization is educational assessment and cognitive psychology, with an emphasis on test development and validity analysis. Dr Leighton's current research is on identifying and evaluating methods for generating cognitive models for educational assessment practice. Her research has been funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canadian Education Statistics Council (CESC) and is currently funded by the Social Sciences and Humanities Research Council of Canada (SSHRC).

Mark J. Gierl is Professor of Educational Psychology at the University of Alberta. His specialization is educational and psychological testing, with an emphasis on the application of cognitive principles to assessment practices. Dr Gierl's current research is focused on differential item and bundle functioning, cognitively diagnostic assessment and assessment engineering. His research is funded by both the College Board and the Social Sciences and Humanities Research Council of Canada (SSHRC). He holds the Canada Research Chair in Educational Measurement.                                                               

目录                                 1. The learning sciences in educational assessment: an introduction; 2. Evaluating cognitive models in large-scale educational assessments; 3. Cognitive models of task performance for reading comprehension; 4. Cognitive models of task performance for scientific reasoning and discovery; 5. Cognitive models of task performance for mathematical reasoning; 6. Putting it all together: cognitive models to inform the design and development of large-scale educational assessment; 7. Cognitively-based statistical methods - technical illustrations.

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2016-1-14 09:50:18
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2016-1-14 13:30:35
不错,谢谢分享!
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2016-1-14 14:53:04
sofree 发表于 2016-1-14 13:30
不错,谢谢分享!
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2016-1-14 14:53:07
sofree 发表于 2016-1-14 13:30
不错,谢谢分享!
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2016-1-14 15:51:06
支持新版主,多发经典干货,共同进步。
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