IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v57y1992i4p521-538.html
   My bibliography  Save this article

Sequential sampling designs for the two-parameter item response theory model

Author

Listed:
  • Martijn Berger

Abstract

No abstract is available for this item.

Suggested Citation

  • Martijn Berger, 1992. "Sequential sampling designs for the two-parameter item response theory model," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 521-538, December.
    • Handle: RePEc:spr:psycho:v:57:y:1992:i:4:p:521-538
    DOI: 10.1007/BF02294418
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294418
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294418?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. Martha Stocking, 1990. "Specifying optimum examinees for item parameter estimation in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 461-475, September.
    2. David Thissen & Howard Wainer, 1982. "Some standard errors in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 47(4), pages 397-412, December.
    3. Wendy Yen & George Burket & Robert Sykes, 1991. "Nonunique solutions to the likelihood equation for the three-parameter logistic model," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 39-54, March.
    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. Mahmood Ul Hassan & Frank Miller, 2019. "Optimal Item Calibration for Computerized Achievement Tests," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 1101-1128, December.
    2. Ul Hassan, Mahmood & Miller, Frank, 2021. "An exchange algorithm for optimal calibration of items in computerized achievement tests," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    3. Yinhong He & Ping Chen, 2020. "Optimal Online Calibration Designs for Item Replenishment in Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 35-55, March.
    4. Hyeon-Ah Kang & Yi Zheng & Hua-Hua Chang, 2020. "Online Calibration of a Joint Model of Item Responses and Response Times in Computerized Adaptive Testing," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 175-208, April.
    5. Wim Linden & Hao Ren, 2015. "Optimal Bayesian Adaptive Design for Test-Item Calibration," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 263-288, June.
    6. Martijn Berger & C. Joy King & Weng Wong, 2000. "Minimax d-optimal designs for item response theory models," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 377-390, September.
    7. Yuan-chin Chang & Hung-Yi Lu, 2010. "Online Calibration Via Variable Length Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 140-157, March.
    8. Hao Ren & Wim J. van der Linden & Qi Diao, 2017. "Continuous Online Item Calibration: Parameter Recovery and Item Utilization," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 498-522, 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. Ellen Timminga, 1995. "Optimum examinee samples for item parameter estimation in item response theory: A multi-objective programming approach," Psychometrika, Springer;The Psychometric Society, vol. 60(1), pages 137-154, March.
    2. Wim Linden & Hao Ren, 2015. "Optimal Bayesian Adaptive Design for Test-Item Calibration," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 263-288, June.
    3. Piero Veronese & Eugenio Melilli, 2021. "Confidence Distribution for the Ability Parameter of the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 131-166, March.
    4. Martha Stocking, 1990. "Specifying optimum examinees for item parameter estimation in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 461-475, September.
    5. Hao Ren & Wim J. van der Linden & Qi Diao, 2017. "Continuous Online Item Calibration: Parameter Recovery and Item Utilization," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 498-522, June.
    6. Douglas Jones & Zhiying Jin, 1994. "Optimal sequential designs for on-line item estimation," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 59-75, March.
    7. Yinhong He & Ping Chen, 2020. "Optimal Online Calibration Designs for Item Replenishment in Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 35-55, March.
    8. Elizabeth Ooi, 2020. "Give mind to the gap: Measuring gender differences in financial knowledge," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(3), pages 931-950, September.
    9. Das, Jishnu & Zajonc, Tristan, 2010. "India shining and Bharat drowning: Comparing two Indian states to the worldwide distribution in mathematics achievement," Journal of Development Economics, Elsevier, vol. 92(2), pages 175-187, July.
    10. Michel Philipp & Carolin Strobl & Jimmy de la Torre & Achim Zeileis, 2018. "On the Estimation of Standard Errors in Cognitive Diagnosis Models," Journal of Educational and Behavioral Statistics, , vol. 43(1), pages 88-115, February.
    11. Ke-Hai Yuan & Ying Cheng & Jeff Patton, 2014. "Information Matrices and Standard Errors for MLEs of Item Parameters in IRT," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 232-254, April.
    12. Werner Wothke & George Burket & Li-Sue Chen & Furong Gao & Lianghua Shu & Mike Chia, 2011. "Multimodal Likelihoods in Educational Assessment," Journal of Educational and Behavioral Statistics, , vol. 36(6), pages 736-754, December.
    13. David Magis, 2015. "A Note on the Equivalence Between Observed and Expected Information Functions With Polytomous IRT Models," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 96-105, February.
    14. Carrie R. Houts & Melissa A. Z. Knoll, 2020. "The Financial Knowledge Scale: New Analyses, Findings, and Development of a Short Form," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(2), pages 775-800, June.
    15. Lijuan Wang, 2010. "IRT–ZIP Modeling for Multivariate Zero-Inflated Count Data," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 671-692, December.
    16. Dato Gruijter, 1984. "A comment on ‘some standard errors in item response theory’," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 269-272, June.
    17. Haruhiko Ogasawara, 2009. "Asymptotic cumulants of the parameter estimators in item response theory," Computational Statistics, Springer, vol. 24(2), pages 313-331, May.
    18. Jinming Zhang, 2012. "The Impact of Variability of Item Parameter Estimators on Test Information Function," Journal of Educational and Behavioral Statistics, , vol. 37(6), pages 737-757, December.
    19. Martijn Berger & C. Joy King & Weng Wong, 2000. "Minimax d-optimal designs for item response theory models," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 377-390, September.
    20. Javier Revuelta, 2005. "An Item Response Model for Nominal Data Based on the Rising Selection Ratios Criterion," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 305-324, June.

    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:57:y:1992:i:4:p:521-538. 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.