IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v75y2010i4p613-632.html
   My bibliography  Save this article

Hierarchical Bayes Models for Response Time Data

Author

Listed:
  • Peter Craigmile
  • Mario Peruggia
  • Trisha Van Zandt

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Craigmile & Mario Peruggia & Trisha Van Zandt, 2010. "Hierarchical Bayes Models for Response Time Data," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 613-632, December.
    • Handle: RePEc:spr:psycho:v:75:y:2010:i:4:p:613-632
    DOI: 10.1007/s11336-010-9172-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11336-010-9172-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11336-010-9172-6?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. Jeffrey Rouder & Dongchu Sun & Paul Speckman & Jun Lu & Duo Zhou, 2003. "A hierarchical bayesian statistical framework for response time distributions," Psychometrika, Springer;The Psychometric Society, vol. 68(4), pages 589-606, 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. Jeffrey Rouder & Jordan Province & Richard Morey & Pablo Gomez & Andrew Heathcote, 2015. "The Lognormal Race: A Cognitive-Process Model of Choice and Latency with Desirable Psychometric Properties," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 491-513, June.

    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. Gerard Breukelen, 2005. "Psychometrics, Psychonomics, Psychonometrics: Rejoinder To Rouder And Wenger," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 389-391, June.
    2. Jeffrey Rouder & Jordan Province & Richard Morey & Pablo Gomez & Andrew Heathcote, 2015. "The Lognormal Race: A Cognitive-Process Model of Choice and Latency with Desirable Psychometric Properties," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 491-513, June.
    3. Michael D. Lee, 2018. "Bayesian methods for analyzing true-and-error models," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(6), pages 622-635, November.
    4. Peter W. Rijn & Usama S. Ali, 2018. "A Generalized Speed–Accuracy Response Model for Dichotomous Items," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 109-131, March.
    5. Dora Matzke & Conor Dolan & William Batchelder & Eric-Jan Wagenmakers, 2015. "Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 205-235, March.
    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. Hua-Hua Chang, 2015. "Psychometrics Behind Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 1-20, March.
    8. repec:cup:judgdm:v:13:y:2018:i:6:p:622-635 is not listed on IDEAS
    9. Brandon Turner & Trisha Zandt, 2014. "Hierarchical Approximate Bayesian Computation," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 185-209, April.
    10. T. Loeys & Y. Rosseel & K. Baten, 2011. "A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments," Psychometrika, Springer;The Psychometric Society, vol. 76(3), pages 487-503, July.
    11. Maria Bolsinova & Jesper Tijmstra, 2019. "Modeling Differences Between Response Times of Correct and Incorrect Responses," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 1018-1046, December.
    12. Chun Wang & Zhewen Fan & Hua-Hua Chang & Jeffrey A. Douglas, 2013. "A Semiparametric Model for Jointly Analyzing Response Times and Accuracy in Computerized Testing," Journal of Educational and Behavioral Statistics, , vol. 38(4), pages 381-417, August.
    13. Wim van der Linden, 2007. "A Hierarchical Framework for Modeling Speed and Accuracy on Test Items," Psychometrika, Springer;The Psychometric Society, vol. 72(3), pages 287-308, September.
    14. Jeffrey Rouder, 2005. "The applicability of deadline models: Comment on Glickman, Gray, and Morales (2005)," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 427-430, September.
    15. Tong-Yu Lu & Wai-Yin Poon & Siu Cheung, 2014. "A Unified Framework for the Comparison of Treatments with Ordinal Responses," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 605-620, October.
    16. Matthias von Davier & Lale Khorramdel & Qiwei He & Hyo Jeong Shin & Haiwen Chen, 2019. "Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities," Journal of Educational and Behavioral Statistics, , vol. 44(6), pages 671-705, December.
    17. Chun Wang & Gongjun Xu & Zhuoran Shang & Nathan Kuncel, 2018. "Detecting Aberrant Behavior and Item Preknowledge: A Comparison of Mixture Modeling Method and Residual Method," Journal of Educational and Behavioral Statistics, , vol. 43(4), pages 469-501, August.

    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:75:y:2010:i:4:p:613-632. 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.