IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v67y2002i3p335-350.html
   My bibliography  Save this article

A MCMC-method for models with continuous latent responses

Author

Listed:
  • Gunter Maris
  • Eric Maris

Abstract

No abstract is available for this item.

Suggested Citation

  • Gunter Maris & Eric Maris, 2002. "A MCMC-method for models with continuous latent responses," Psychometrika, Springer;The Psychometric Society, vol. 67(3), pages 335-350, September.
    • Handle: RePEc:spr:psycho:v:67:y:2002:i:3:p:335-350
    DOI: 10.1007/BF02294988
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294988
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294988?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Susan Whitely, 1980. "Multicomponent latent trait models for ability tests," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 479-494, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fu, Zhihui & Zhang, Xue & Tao, Jian, 2020. "Gibbs sampling using the data augmentation scheme for higher-order item response models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    2. Gunter Maris & Timo Bechger & Ernesto Martin, 2015. "A Gibbs Sampler for the (Extended) Marginal Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 859-879, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nana Kim & Daniel M. Bolt & James Wollack, 2022. "Noncompensatory MIRT For Passage-Based Tests," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 992-1009, September.
    2. Xiao Li & Hanchen Xu & Jinming Zhang & Hua-hua Chang, 2023. "Deep Reinforcement Learning for Adaptive Learning Systems," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 220-243, April.
    3. John Martin, 2014. "Spatial processes and Galois/concept lattices," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 961-981, March.
    4. Wim Linden, 2012. "On Compensation in Multidimensional Response Modeling," Psychometrika, Springer;The Psychometric Society, vol. 77(1), pages 21-30, January.
    5. Hiroshi Tamano & Daichi Mochihashi, 2023. "Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 487-526, June.
    6. Susan Embretson & Xiangdong Yang, 2013. "A Multicomponent Latent Trait Model for Diagnosis," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 14-36, January.
    7. Eric Maris, 1995. "Psychometric latent response models," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 523-547, December.
    8. E. Maris, 1999. "Estimating multiple classification latent class models," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 187-212, June.

    More about this item

    Keywords

    MCMC methods; Gibbs sampling;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:67:y:2002:i:3:p:335-350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.