IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v70y2005i3p481-496.html
   My bibliography  Save this article

A relation between a between-item multidimensional IRT model and the mixture rasch model

Author

Listed:
  • Frank Rijmen
  • Paul De Boeck

Abstract

No abstract is available for this item.

Suggested Citation

  • Frank Rijmen & Paul De Boeck, 2005. "A relation between a between-item multidimensional IRT model and the mixture rasch model," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 481-496, September.
    • Handle: RePEc:spr:psycho:v:70:y:2005:i:3:p:481-496
    DOI: 10.1007/s11336-002-1007-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11336-002-1007-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11336-002-1007-7?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. Jan De Leeuw & Norman Verhelst, 1986. "Maximum Likelihood Estimation in Generalized Rasch Models," Journal of Educational and Behavioral Statistics, , vol. 11(3), pages 183-196, September.
    2. Robert Mislevy & Norman Verhelst, 1990. "Modeling item responses when different subjects employ different solution strategies," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 195-215, June.
    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. Sun-Joo Cho & Allan Cohen & Brian Bottge, 2013. "Detecting Intervention Effects Using a Multilevel Latent Transition Analysis with a Mixture IRT Model," Psychometrika, Springer;The Psychometric Society, vol. 78(3), pages 576-600, July.

    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. 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.
    2. Sun-Joo Cho & Allan S. Cohen, 2010. "A Multilevel Mixture IRT Model With an Application to DIF," Journal of Educational and Behavioral Statistics, , vol. 35(3), pages 336-370, June.
    3. Liu, Yaohui & Zhan, Peida & Fu, Yanbin & Chen, Qipeng & Man, Kaiwen & Luo, Yikun, 2023. "Using a multi-strategy eye-tracking psychometric model to measure intelligence and identify cognitive strategy in Raven's advanced progressive matrices," Intelligence, Elsevier, vol. 100(C).
    4. Michela Gnaldi & Silvia Bacci & Thiemo Kunze & Samuel Greiff, 2020. "Students’ Complex Problem Solving Profiles," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 469-501, June.
    5. Artur Pokropek, 2016. "Grade of Membership Response Time Model for Detecting Guessing Behaviors," Journal of Educational and Behavioral Statistics, , vol. 41(3), pages 300-325, June.
    6. Chun Wang & Gongjun Xu & Zhuoran Shang, 2018. "A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 223-254, March.
    7. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
    8. Dougal Hutchison & Tilaye Yeshanew, 2009. "Augmenting the use of the Rasch model under time constraints," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(5), pages 717-729, September.
    9. Denny Borsboom, 2006. "The attack of the psychometricians," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 425-440, September.
    10. repec:cup:judgdm:v:10:y:2015:i:1:p:97-114 is not listed on IDEAS
    11. 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.
    12. Paul Westers & Henk Kelderman, 1992. "Examining differential item functioning due to item difficulty and alternative attractiveness," Psychometrika, Springer;The Psychometric Society, vol. 57(1), pages 107-118, March.
    13. Roy Levy & Gregory R. Hancock, 2011. "An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures," Sociological Methods & Research, , vol. 40(2), pages 256-278, May.
    14. Heike Heidemeier & Ursula Staudinger, 2012. "Self-Evaluation Processes in Life Satisfaction: Uncovering Measurement Non-Equivalence and Age-Related Differences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 39-61, January.
    15. Ulf Böckenholt & Ingo Böckenholt, 1991. "Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 699-716, December.
    16. 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.
    17. Thomas Love, 1997. "Distractor selection ratios," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 51-62, March.
    18. Javier Revuelta, 2008. "The generalized Logit-Linear Item Response Model for Binary-Designed Items," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 385-405, September.
    19. repec:jss:jstsof:20:i09 is not listed on IDEAS
    20. Anton K. Formann, 2003. "Latent Class Model Diagnosis from a Frequentist Point of View," Biometrics, The International Biometric Society, vol. 59(1), pages 189-196, March.
    21. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.
    22. Steven Verheyen & Wouter Voorspoels & Gert Storms, 2015. "Inferring choice criteria with mixture IRT models: A demonstration using ad hoc and goal-derived categories," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(1), pages 97-114, January.

    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:70:y:2005:i:3:p:481-496. 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.