IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v63y1998i1p65-71.html
   My bibliography  Save this article

On the sampling interpretation of confidence intervals and hypothesis tests in the context of conditional maximum likelihood estimation

Author

Listed:
  • E. Maris

Abstract

No abstract is available for this item.

Suggested Citation

  • E. Maris, 1998. "On the sampling interpretation of confidence intervals and hypothesis tests in the context of conditional maximum likelihood estimation," Psychometrika, Springer;The Psychometric Society, vol. 63(1), pages 65-71, March.
    • Handle: RePEc:spr:psycho:v:63:y:1998:i:1:p:65-71
    DOI: 10.1007/BF02295437
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02295437
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02295437?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. 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.
    2. Dean Follmann, 1988. "Consistent estimation in the rasch model based on nonparametric margins," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 553-562, December.
    3. Erling Andersen & Mette Madsen, 1977. "Estimating the parameters of the latent population distribution," Psychometrika, Springer;The Psychometric Society, vol. 42(3), pages 357-374, September.
    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. Anders Skrondal & Sophia Rabe-Hesketh, 2022. "The Role of Conditional Likelihoods in Latent Variable Modeling," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 799-834, September.

    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. N. Verhelst & C. Glas, 1993. "A dynamic generalization of the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 395-415, September.
    3. David J. Hessen, 2010. "Likelihood Ratio Tests for Special Rasch Models," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 611-628, December.
    4. Matthias von Davier, 2021. "Commentary: Matching IRT Models to PRO Constructs— Modeling Alternatives, and Some Thoughts on What Makes a Model Different," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 825-832, September.
    5. David J. Hessen, 2023. "Fitting and Testing Log-Linear Subpopulation Models with Known Support," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 917-939, September.
    6. Cees Glas, 1988. "The derivation of some tests for the rasch model from the multinomial distribution," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 525-546, December.
    7. Gerhard Fischer, 1983. "Logistic latent trait models with linear constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 3-26, March.
    8. Albert Yu & Jeffrey A. Douglas, 2023. "IRT Models for Learning With Item-Specific Learning Parameters," Journal of Educational and Behavioral Statistics, , vol. 48(6), pages 866-888, December.
    9. Andrade, Dalton F. & Tavares, Heliton R., 2005. "Item response theory for longitudinal data: population parameter estimation," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 1-22, July.
    10. Matthias Davier & Shelby Haberman, 2014. "Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 340-346, April.
    11. Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    12. T. Jefferson & J. May & N. Ravi, 1989. "An entropy approach to the scaling of ordinal categorical data," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 203-215, June.
    13. Jan deLeeuw & Dorota Dabrowska & Norbert Tanzer & Leo Kamp, 1987. "Reviews," Psychometrika, Springer;The Psychometric Society, vol. 52(1), pages 151-160, March.
    14. Clemens Draxler & Andreas Kurz, 2021. "Conditional Inference in Small Sample Scenarios Using a Resampling Approach," Stats, MDPI, vol. 4(4), pages 1-13, October.
    15. Jürgen M. Pelikan & Thomas Link & Christa Straßmayr & Karin Waldherr & Tobias Alfers & Henrik Bøggild & Robert Griebler & Maria Lopatina & Dominika Mikšová & Marie Germund Nielsen & Sandra Peer & Mitj, 2022. "Measuring Comprehensive, General Health Literacy in the General Adult Population: The Development and Validation of the HLS 19 -Q12 Instrument in Seventeen Countries," IJERPH, MDPI, vol. 19(21), pages 1-31, October.
    16. Dean Follmann, 1988. "Consistent estimation in the rasch model based on nonparametric margins," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 553-562, December.
    17. Margo Jansen, 1997. "Rasch's model for reading speed with manifest explanatory variables," Psychometrika, Springer;The Psychometric Society, vol. 62(3), pages 393-409, September.
    18. Lucio Bertoli-Barsotti, 2005. "On the existence and uniqueness of JML estimates for the partial credit model," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 517-531, September.
    19. C. Glas & N. Verhelst, 1989. "Extensions of the partial credit model," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 635-659, September.
    20. Margo Jansen & Marijtje Duijn, 1992. "Extensions of Rasch's multiplicative poisson model," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 405-414, September.

    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:63:y:1998:i:1:p:65-71. 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.