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Loglinear Rasch model tests

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  • Hendrikus Kelderman

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  • Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    • Handle: RePEc:spr:psycho:v:49:y:1984:i:2:p:223-245
    DOI: 10.1007/BF02294174
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    References listed on IDEAS

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    1. Erling Andersen, 1980. "Comparing latent distributions," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 121-134, March.
    2. Gerhard Fischer, 1981. "On the existence and uniqueness of maximum-likelihood estimates in the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 46(1), pages 59-77, March.
    3. Ivo Molenaar, 1983. "Some improved diagnostics for failure of the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 49-72, March.
    4. Arnold Wollenberg, 1982. "Two new test statistics for the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 123-140, June.
    5. Noel Cressie & Paul Holland, 1983. "Characterizing the manifest probabilities of latent trait models," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 129-141, March.
    6. Gerhard Fischer, 1983. "Logistic latent trait models with linear constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 3-26, March.
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    Citations

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    Cited by:

    1. Robert Jannarone, 1986. "Conjunctive item response theory kernels," Psychometrika, Springer;The Psychometric Society, vol. 51(3), pages 357-373, September.
    2. Thorsten Meiser, 1996. "Loglinear Rasch models for the analysis of stability and change," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 629-645, December.
    3. N. Verhelst & C. Glas, 1993. "A dynamic generalization of the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 395-415, September.
    4. Karl Klauer, 1991. "An exact and optimal standardized person test for assessing consistency with the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 213-228, June.
    5. Henk Kelderman, 1989. "Item bias detection using loglinear irt," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 681-697, September.
    6. Giles Hooker & Matthew Finkelman, 2010. "Paradoxical Results and Item Bundles," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 249-271, June.
    7. Henk Kelderman & Carl Rijkes, 1994. "Loglinear multidimensional IRT models for polytomously scored items," Psychometrika, Springer;The Psychometric Society, vol. 59(2), pages 149-176, June.
    8. Clemens Draxler, 2018. "Bayesian conditional inference for Rasch models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 245-262, April.
    9. Betina Ristorp Andersen & Maria Birkvad Rasmussen & Karl Bang Christensen & Kirsten G Engel & Charlotte Ringsted & Ellen Løkkegaard & Martin G Tolsgaard, 2020. "Making the best of the worst: Care quality during emergency cesarean sections," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-13, February.
    10. Clemens Draxler & Rainer Alexandrowicz, 2015. "Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 897-919, December.
    11. Robert Mislevy & Kathleen Sheehan, 1989. "The role of collateral information about examinees in item parameter estimation," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 661-679, September.
    12. Svend Kreiner & Karl Christensen, 2014. "Analyses of Model Fit and Robustness. A New Look at the PISA Scaling Model Underlying Ranking of Countries According to Reading Literacy," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 210-231, April.
    13. Francesco Bartolucci, 2007. "A class of multidimensional IRT models for testing unidimensionality and clustering items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 141-157, June.
    14. Cees Glas, 1999. "Modification indices for the 2-PL and the nominal response model," Psychometrika, Springer;The Psychometric Society, vol. 64(3), pages 273-294, September.
    15. Karl Klauer & William Batchelder, 1996. "Structural analysis of subjective categorical data," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 199-239, June.
    16. Mark Wilson & Raymond Adams, 1995. "Rasch models for item bundles," Psychometrika, Springer;The Psychometric Society, vol. 60(2), pages 181-198, June.
    17. Tine Nielsen, 2021. "Psychometric evaluation of the Danish language version of the field practice experiences questionnaire for students in teacher education (FPE-DK) using item analysis according to the Rasch model," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-23, October.
    18. Svend Kreiner & Karl Christensen, 2011. "Item Screening in Graphical Loglinear Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 228-256, April.
    19. Clemens Draxler, 2010. "Sample Size Determination for Rasch Model Tests," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 708-724, December.
    20. Cees Glas, 1988. "The derivation of some tests for the rasch model from the multinomial distribution," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 525-546, December.
    21. Henk Kelderman, 1992. "Computing maximum likelihood estimates of loglinear models from marginal sums with special attention to loglinear item response theory," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 437-450, September.
    22. Tim Moses & Jing Miao & Neil J. Dorans, 2010. "A Comparison of Strategies for Estimating Conditional DIF," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 726-743, December.
    23. Yuguo Chen & Dylan Small, 2005. "Exact tests for the rasch model via sequential importance sampling," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 11-30, March.

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