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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

Diagnostic Classification Models: Which One Should I Use?

Pages 65-67 | Published online: 05 Mar 2009

REFERENCES

  • Anozie , N. O. and Junker , B. W. . Predicting end-of-year accountability assessment scores from monthly student records in an online tutoring system . Presented at the Workshop on Educational Data Mining at the 21st National Conference on Artificial Intelligence (AAAI 2006) . July 16–17 2006 . Boston, , USA
  • Fu , J. and Li , Y. . An integrated review of cognitively diagnostic psychometric models . Paper presented at the annual meeting of the National Council on Measurement in Education . April , Chicago, IL
  • Henson , R. A. and Templin , J. . Large-scale language assessment using cognitive diagnosis models . Paper presented at the annual meeting of the National Council on Measurement in Education (NCME) . April , Chicago, IL
  • Henson , R. A. , Templin , J. and Willse , J. . Defining a family of cognitive diagnosis models . Paper presented at the annual meeting of the National Council on Measurement in Education (NCME) . April , Chicago, IL
  • Junker , B. W. . Some issues and applications in cognitive diagnosis and educational data mining (PowerPoint) . Keynote presentation to the 2007 Annual Meeting of the Psychometric Society . Tokyo, , Japan
  • 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 .
  • Xu , X. and von Davier , M. 2006 . Cognitive diagnosis for NAEP proficiency data (Research Report No. RR-06-08) , Princeton, NJ : Educational Testing Service .

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