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Marginal maximum likelihood estimation for a psychometric model of discontinuous development

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  • Robert Mislevy
  • Mark Wilson

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Suggested Citation

  • Robert Mislevy & Mark Wilson, 1996. "Marginal maximum likelihood estimation for a psychometric model of discontinuous development," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 41-71, March.
  • Handle: RePEc:spr:psycho:v:61:y:1996:i:1:p:41-71
    DOI: 10.1007/BF02296958
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    References listed on IDEAS

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    1. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    2. Keam-Claude Falmagne, 1989. "A latent trait theory via a stochastic learning theory for a knowledge space," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 283-303, June.
    3. J. Ramsay, 1975. "Solving implicit equations in psychometric data analysis," Psychometrika, Springer;The Psychometric Society, vol. 40(3), pages 337-360, September.
    4. Robert Mislevy, 1984. "Estimating latent distributions," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 359-381, September.
    5. Richard McHugh, 1956. "Efficient estimation and local identification in latent class analysis," Psychometrika, Springer;The Psychometric Society, vol. 21(4), pages 331-347, December.
    6. Henk Kelderman, 1989. "Item bias detection using loglinear irt," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 681-697, September.
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    Cited by:

    1. Frank Rijmen & Paul Boeck & Han Maas, 2005. "An IRT Model with a Parameter-Driven Process for Change," Psychometrika, Springer;The Psychometric Society, vol. 70(4), pages 651-669, December.
    2. Meredith Langi & Minjeong Jeon, 2023. "Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 332-356, March.
    3. Mark Wilson, 2013. "Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 211-236, April.
    4. Yinghan Chen & Steven Andrew Culpepper & Yuguo Chen & Jeffrey Douglas, 2018. "Bayesian Estimation of the DINA Q matrix," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 89-108, March.
    5. Howard Wainer & Jee-Seon Kim & Terry Ackerman, 2001. "Reviews," Psychometrika, Springer;The Psychometric Society, vol. 66(2), pages 307-320, June.
    6. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.

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