基于联结主义的连续记分IRT模型的项目参数和被试能力估计(4)
作者:佚名; 更新时间:2014-12-05
实的数据?也需要进一步探讨。
虽然有待于进一步研究的问题还很多,但这一实验毕竟提出了一种新的、有一定应用价值的方法。
【参考文献】
[1] Hambleton R K.Item Response Theory:Principles and Appli-cations.Boston:Kluwer-Nijhoff Pub,1985.58~63
[2] Yu J Y.Item Response Theory and Its Application(in Chin-ese).Nanjing:Jiangsu Education Press,1992.79~84
(余嘉元.项目反应理论及其应用.南京:江苏教育出版社,1992.79~84)
[3] Baker F B.Item Response Theory:Parameter Estimation Tec-hniques.New York:M.Dekker,1992.66~71
[4] McLead P.Introduction to Connectionist Modeling of Cogn-itive Processes.New York:Oxford University Press,1998.256~261
[5] Mahwah N J,Erlbaum L L.Localist Connectionist Approaches to Human
Cognition.New
York:Oxford University Press,1998,188~192
[6] Anderson,J.A.An Introduction to Neural Networks.Cambrid-ge:The MIT Press,1995,136~143.
[7] Yu J Y.Studying perceptual boundary effects with connec-tionist model(in Chinese).Acta Psychologica Sinica,2001,33(2):123~126
(余嘉元.运用联结主义模型研究知觉边界效应问题,心理学报,2001,33(2):123~126)
[8] Haykin S S.Neural Networks:A Comprehensive Foundation.Upper Saddle
River,N.N.,Press Hall,1999.178~181
[9] Fahlman S E,Lebiere C.The Cascade-correlation learning architecture.In:Touretzky D S ed.Advances in Neural Informati-on Processing Systems.Los Altos,CA:Morgan Kaufmann,1990.524~532
[10] Samejima F.Homogeneous case of the continuous response
model.Psychometrika,1973,38(3):203~219
[11] Muller H.A Rasch model for continuous ratings.Psychmet-rika,1987,52(2):165~181
[12] Mellenbergh G J.A unidimensional latent trait model forcontinuous item responses.
Multivariate Behavioral Research,1994,29(3):223~236
[13] Qi S Q,Dai H Q.Ding S L.Modern Educational and Psychol-ogical Measurement(in Chinese).Nanchang:Jiangxi Education Pre-ss,1998.126~129
(漆书青,戴海崎,丁树良.现代教育与心理测量学,南昌:江西教育出版社,1998.126~129)
[14] Mislevy R J,Bock R D.Manual of BILOG 3.Scientific Soft-ware,Inc.1990.27~31
[15] Wang W.Artificial Neural Network Theory:Introduction a-nd Application(in Chinese).Beijing:Beijing Aviation and Space University Press,1995.36~41
(王伟.人工神经网络原理——入门与应用.北京:北京航空航天大学出版社,1995.26~41)
[16] Zhao L M,Hu H Y,Wei D H.Multilevel Forward Artificial Neural Network(in Chinese).Beijing:Huanghe Water Conservancy Press,1999.52~56
(赵林明,胡浩云,魏德华等.多层前向人工神经网络,北京:黄河水利出版社,1999.52~56)
[17] Yu J Y.Modern Cognitive Psychology(in Chinese).Nanjing:Jiangsu Education Press,2001.87~98
(余嘉元.当代认知心理学.南京:江苏教育出版社,2001.87~98)
虽然有待于进一步研究的问题还很多,但这一实验毕竟提出了一种新的、有一定应用价值的方法。
【参考文献】
[1] Hambleton R K.Item Response Theory:Principles and Appli-cations.Boston:Kluwer-Nijhoff Pub,1985.58~63
[2] Yu J Y.Item Response Theory and Its Application(in Chin-ese).Nanjing:Jiangsu Education Press,1992.79~84
(余嘉元.项目反应理论及其应用.南京:江苏教育出版社,1992.79~84)
[3] Baker F B.Item Response Theory:Parameter Estimation Tec-hniques.New York:M.Dekker,1992.66~71
[4] McLead P.Introduction to Connectionist Modeling of Cogn-itive Processes.New York:Oxford University Press,1998.256~261
[5] Mahwah N J,Erlbaum L L.Localist Connectionist Approaches to Human
Cognition.New
York:Oxford University Press,1998,188~192
[6] Anderson,J.A.An Introduction to Neural Networks.Cambrid-ge:The MIT Press,1995,136~143.
[7] Yu J Y.Studying perceptual boundary effects with connec-tionist model(in Chinese).Acta Psychologica Sinica,2001,33(2):123~126
(余嘉元.运用联结主义模型研究知觉边界效应问题,心理学报,2001,33(2):123~126)
[8] Haykin S S.Neural Networks:A Comprehensive Foundation.Upper Saddle
River,N.N.,Press Hall,1999.178~181
[9] Fahlman S E,Lebiere C.The Cascade-correlation learning architecture.In:Touretzky D S ed.Advances in Neural Informati-on Processing Systems.Los Altos,CA:Morgan Kaufmann,1990.524~532
[10] Samejima F.Homogeneous case of the continuous response
model.Psychometrika,1973,38(3):203~219
[11] Muller H.A Rasch model for continuous ratings.Psychmet-rika,1987,52(2):165~181
[12] Mellenbergh G J.A unidimensional latent trait model forcontinuous item responses.
Multivariate Behavioral Research,1994,29(3):223~236
[13] Qi S Q,Dai H Q.Ding S L.Modern Educational and Psychol-ogical Measurement(in Chinese).Nanchang:Jiangxi Education Pre-ss,1998.126~129
(漆书青,戴海崎,丁树良.现代教育与心理测量学,南昌:江西教育出版社,1998.126~129)
[14] Mislevy R J,Bock R D.Manual of BILOG 3.Scientific Soft-ware,Inc.1990.27~31
[15] Wang W.Artificial Neural Network Theory:Introduction a-nd Application(in Chinese).Beijing:Beijing Aviation and Space University Press,1995.36~41
(王伟.人工神经网络原理——入门与应用.北京:北京航空航天大学出版社,1995.26~41)
[16] Zhao L M,Hu H Y,Wei D H.Multilevel Forward Artificial Neural Network(in Chinese).Beijing:Huanghe Water Conservancy Press,1999.52~56
(赵林明,胡浩云,魏德华等.多层前向人工神经网络,北京:黄河水利出版社,1999.52~56)
[17] Yu J Y.Modern Cognitive Psychology(in Chinese).Nanjing:Jiangsu Education Press,2001.87~98
(余嘉元.当代认知心理学.南京:江苏教育出版社,2001.87~98)
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