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Applied Psychological Measurement, Vol. 30, No. 6, 509-510 (2006)
DOI: 10.1177/0146621605286803

LDIP: A Computer Program for Local Dependence Indices for Polytomous Items

Seock-Ho Kim

University of Georgia

Allan S. Cohen

University of Georgia

Yuan-Horng Lin

University of Georgia

References

  • Agresti, A. (1996). An introduction to categorical data analysis. New York: John Wiley.
  • Chen, W.-H. (1998). IRTNEW [Computer software]. Chapel Hill: University of North Carolina at Chapel Hill, L. L. Thurstone Laboratory.
  • Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16, 159-176.
  • Muraki, E., & Bock, R. D. (2002). PARSCALE (Version 4.1) [Computer software]. Lincolnwood, IL: Scientific Software International.
  • Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1986). Numerical recipes: The art of scientific computing. New York: Cambridge University Press.
  • Samejima, F. (1969). Estimation of a latent ability using a response pattern of graded scores. Psychometric Monographs, No. 17.
  • Thissen, D., Chen, W.-H., & Bock, R. D. (2002). MULTILOG (Version 7.03) [Computer software]. Lincolnwood, IL: Scientific Software International.
  • Yen, W. M. (1993). Scaling performance assessments: Strategies for managing local item dependence. Journal of Educational Measurement, 30, 187-213.[CrossRef]

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This Article
Right arrow Free Full Text (Free PDF) Free
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What's this?