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Logistic latent trait models with linear constraints

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  • Gerhard Fischer

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  • Gerhard Fischer, 1983. "Logistic latent trait models with linear constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 3-26, March.
    • Handle: RePEc:spr:psycho:v:48:y:1983:i:1:p:3-26
    DOI: 10.1007/BF02314674
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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. 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.
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    Citations

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    Cited by:

    1. René Butter & Paul Boeck & Norman Verhelst, 1998. "An item response model with internal restrictions on item difficulty," Psychometrika, Springer;The Psychometric Society, vol. 63(1), pages 47-63, March.
    2. Javier Revuelta, 2009. "Identifiability and Equivalence of GLLIRM Models," Psychometrika, Springer;The Psychometric Society, vol. 74(2), pages 257-272, June.
    3. Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    4. Anton Formann & Ivo Ponocny, 2002. "Latent change classes in dichotomous data," Psychometrika, Springer;The Psychometric Society, vol. 67(3), pages 437-457, September.
    5. G. Fischer & P. Parzer, 1991. "An extension of the rating scale model with an application to the measurement of change," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 637-651, December.
    6. Tsonaka, R. & Moustaki, I., 2007. "Parameter constraints in generalized linear latent variable models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4164-4177, May.
    7. Denis Federiakin, 2020. "Investigating The Cross-National Comparability Of Testing Using Response Times," HSE Working papers WP BRP 57/EDU/2020, National Research University Higher School of Economics.
    8. Annalina Sarra & Adelia Evangelista & Barbara Iannone & Tonio Battista, 2023. "Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4759-4777, October.
    9. N. Verhelst & C. Glas, 1993. "A dynamic generalization of the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 395-415, September.
    10. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
    11. José H. Lozano & Javier Revuelta, 2021. "A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test," Psychometrika, Springer;The Psychometric Society, vol. 86(4), pages 994-1015, December.
    12. 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.
    13. Anton Formann, 1986. "A note on the computation of the second-order derivatives of the elementary symmetric functions in the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 335-339, June.
    14. Jürgen Rost, 1988. "Rating scale analysis with latent class models," Psychometrika, Springer;The Psychometric Society, vol. 53(3), pages 327-348, September.
    15. Erling Andersen, 1985. "Estimating latent correlations between repeated testings," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 3-16, March.

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