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Commentaries on Issue 6(4): “Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art,” Rupp & Templin

Some Notes on the Reinvention of Latent Structure Models as Diagnostic Classification Models

Pages 67-74 | Published online: 05 Mar 2009

REFERENCES

  • Bolt , D. M. , Cohen , A. S. and Wollack , J. A. 2002 . Item parameter estimation under conditions of test speededness: Application of a mixture Rasch model with ordinal constraints . Journal of Educational Measurement , 39 ( 4 ) : 331 – 348 .
  • Boughton , K. and Yamamoto , K. 2007 . “ A HYBRID model for test speededness ” . In Multivariate and mixture distribution Rasch models , Edited by: von Davier , M. and Carstensen , C. H. New York : Springer .
  • DeBoeck , P. and Wilson , M. 2004 . Explanatory item response models: A generalized linear and nonlinear approach , New York : Springer .
  • de la Torre , J. and Douglas , J. 2004 . Higher order latent trait models for cognitive diagnosis . Psychometrika , 69 : 333 – 353 .
  • Draney , K. and Wilson , M. 2007 . “ Application of the saltus model to stage-like data: Some applications and current developments ” . In Multivariate and mixture distribution Rasch models , Edited by: von Davier , M. and Carstensen , C. H. New York : Springer .
  • Embretson , S. 2007 . “ Mixed Rasch models for measurement in cognitive psychology ” . In Multivariate and mixture distribution Rasch models , Edited by: von Davier , M. and Carstensen , C. H. New York : Springer .
  • Fischer , G. H. 1973 . The linear logistic test model as an instrument in educational research . Acta Psychologica , 37 : 359 – 374 .
  • Fu , J. 2005 . A polytomous extension of the fusion model and its bayesian parameter estimation , Unpublished dissertation .
  • Goodman , L. A. 1974 . Exploratory latent structure analysis using both identifiable and unidentifiable models . Biometrika , 61 : 215 – 231 .
  • Haberman , S. J. 1979 . Qualitative data analysis , Vol. 1 & 2 , New York : Academic Press .
  • Haberman , S. J. and von Davier , M. 2007 . “ A Note on models for cognitive diagnosis ” . In Handbook of statistics , Edited by: Rao , C. R. and Sinharay , S. Vol. 26 , Amsterdam : Elsevier . Psychometrics
  • Haberman , S. J. , von Davier , M. and Lee , Y. 2008 . “ Comparison of multidimensional item response models: Multivariate normal ability distributions versus multivariate polytomous ability distributions. RR-08-45 ” . ETS Research Report .
  • Kelderman , H. and Macready , G. B. 1990 . The use of log-linear models for assessing differential item functioning across manifest and latent examinee groups . Journal of Educational Measurement , 27 : 307 – 327 .
  • Lazarsfeld , P. F. and Henry , N. W. 1968 . Latent structure analysis , Boston : Houghton Mifflin .
  • Mislevy , R. J. and Verhelst , N. D. 1990 . Modeling item responses when different subjects employ different solution strategies . Psychometrika , 55 ( 2 ) : 195 – 215 .
  • Moustaki , I. 2003 . A general class of latent variable models for ordinal manifest variables with covariate effects on the manifest and latent variables . British Journal of Mathematical and Statistical Psychology , 56 : 337 – 357 .
  • Rost , J. 1990 . Rasch models in latent classes: An integration of two approaches to item analysis . Applied Psychological Measurement , 14 : 271 – 282 .
  • Rost , J. and von Davier , M. 1993 . “ Measuring different traits in different populations with the same items ” . In Psychometric methodology. Proceedings of the 7th European meeting of the Psychometric Society in Trier , Edited by: Steyer , R. , Wender , K. F. and Widaman , K. F. Stuttgart : Gustav Fischer Verlag .
  • Rupp , A. A. and Templin , J. L. 2008 . Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art . Measurement , 6 ( 4 ) : 219 – 262 .
  • Skrondal , A. and Rabe-Hesketh , S. 2004 . Generalized latent variable modeling: Multilevel, longitudinal and structural equation models , Boca Raton, FL : Chapman & Hall/CRC .
  • Templin , J. L. and Henson , R. A. 2006 . Measurement of psychological disorders using cognitive diagnosis models . Psychological Methods , 11 : 287 – 305 .
  • Vermunt , J. K. 1997 . LEM1.0: Ageneral program for the analysis of categorical data , Tilburg, , The Netherlands : Tilburg University .
  • Vermunt , J. K. and Magidson , J. 2005 . Latent GOLD 4.0 user's guide , Belmont, MA : Statistical Innovations .
  • von Davier , M. 2005 . “ A general diagnostic model applied to language testing data ” . ETS Research Report RR-05-16 .
  • von Davier , M. and Rost , J. 1995 . “ Polytomous mixed Rasch models ” . In Rasch models–Foundations, recent developments and applications , Edited by: Fischer , G. H. and Molenaar , I. W. 371 – 379 . New York : Springer .
  • von Davier , M. , DiBello , L. and Yamamoto , K. 2008 . “ Reporting test outcomes using models for cognitive diagnostics ” . In Assessment of competencies in educational contexts Edited by: Klieme , J. , Hartig , E. and Leutner , D. 151 – 176 .
  • von Davier , M. and Rost , J. 2006 . “ Mixture distribution item response models Psychometrics ” . In Handbook of statistics , Edited by: Rao , C. R. and S. Sinharay . Vol. 26 , Amsterdam : Elsevier–North Holland .
  • von Davier , M. and Yamamoto , K. 2004a . “ A class of models for cognitive diagnosis ” . Philadelphia, PA : Paper presented at the invitational ETS Spearman Conference .
  • von Davier , M. and Yamamoto , K. 2004b . Partially observed mixtures of IRT models: An extension of the generalized partial credit model . Applied Psychological Measurement , 28 ( 6 ) : 389 – 406 .
  • von Davier , M. and Yamamoto , K. 2007 . “ Mixture distribution and HYBRID Rasch models ” . In Multivariate and mixture distribution Rasch models , Edited by: von Davier , M. and Carstensen , C. H. New York : Springer .
  • Wilson , M. 1989 . Saltus: A psychometric model for discontinuity in cognitive development . Psychological Bulletin , 105 : 276 – 289 .
  • Yamamoto , K. Y. 1989 . HYBRID model of IRT and latent class model (ETS Research Report RR-89-41) , Princeton, NJ : Educational Testing Service .
  • Yamamoto , K. Y. and Everson , H. T. 1997 . “ Modeling the effects of test length and test time on parameter estimation using the HYBRID model ” . In Applications of latent trait and latent class models in the social sciences , Edited by: Rost , J. and Langeheine , R. 89 – 98 . Muenster, , Germany : Waxmann .

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