Optimal Designs for the Generalized Partial Credit Model

Preprint English OPEN
Bürkner, Paul-Christian; Schwabe, Rainer; Holling, Heinz;
  • Subject: Mathematics - Statistics Theory | Statistics - Methodology

Analyzing ordinal data becomes increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the most widely used ordinal model and finds application in many large scale educational asses... View more
  • References (40)
    40 references, page 1 of 4

    Adams, R. J., Wu, M. L., & Wilson, M. (2012). The Rasch rating model and the disordered threshold controversy. Educational and Psychological Measurement , 72 (4), 547{573. doi: 10.1177/0013164411432166

    Agresti, A. (2010). Analysis of ordinal categorical data. Chichester: John Wiley & Sons. doi: 10.1002/9780470594001

    Allen, N., Donoghue, J., & Schoeps, T. (2001). The NAEP 1998 technical report (NCES 2001509). Washington, DC: National Center for Education Statistics.

    Andersen, E. B. (1973). Conditional inference for multiple-choice questionnaires. British Journal of Mathematical and Statistical Psychology , 26 (1), 31{44. doi: 10.1111/j.2044-8317.1973.tb00504.x

    Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43 (4), 561{573. doi: 10.1007/BF02293814

    Andrich, D. (2005). The Rasch model explained. In Applied Rasch measurement: A book of exemplars (pp. 27{59). Springer. doi: 10.1007/1-4020-3076-2 3

    Atkinson, A. C., Donev, A. N., & Tobias, R. D. (2007). Optimum experimental designs, with SAS (Vol. 34). Oxfort: Oxford University Press. doi: 10.1007/978-3-642-04898-2 434

    Berger, M. P., & Wong, W.-K. (2009). An introduction to optimal designs for social and biomedical research (Vol. 83). John Wiley & Sons. doi: 10.1002/9780470746912

    Chaloner, K., & Larntz, K. (1989). Optimal bayesian design applied to logistic regression experiments. Journal of Statistical Planning and Inference , 21 (2), 191{208. doi: 10.1016/0378-3758(89)90004-9

    Chaloner, K., & Verdinelli, I. (1995). Bayesian experimental design: A review. Statistical Science, 273{304. doi: 10.1214/ss/1177009939

  • Metrics
Share - Bookmark