IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v60y1995i4p459-487.html
   My bibliography  Save this article

Some neglected problems in IRT

Author

Listed:
  • Gerhard Fischer

Abstract

No abstract is available for this item.

Suggested Citation

  • Gerhard Fischer, 1995. "Some neglected problems in IRT," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 459-487, December.
  • Handle: RePEc:spr:psycho:v:60:y:1995:i:4:p:459-487
    DOI: 10.1007/BF02294324
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294324
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294324?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. N. Verhelst & C. Glas, 1993. "A dynamic generalization of the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 395-415, September.
    2. Gerhard Fischer, 1989. "An irt-based model for dichotomous longitudinal data," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 599-624, September.
    3. 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.
    4. Gerhard Fischer, 1987. "Applying the principles of specific objectivity and of generalizability to the measurement of change," Psychometrika, Springer;The Psychometric Society, vol. 52(4), pages 565-587, December.
    5. Erling Andersen, 1973. "A goodness of fit test for the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 123-140, March.
    6. Susan Embretson, 1991. "A multidimensional latent trait model for measuring learning and change," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 495-515, September.
    7. G. Fischer & P. Parzer, 1991. "An extension of the rating scale model with an application to the measurement of change," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 637-651, 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. Georg Gittler & Gerhard Fischer, 2011. "IRT-Based Measurement of Short-Term Changes of Ability, With an Application to Assessing the “Mozart Effectâ€," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 33-75, February.
    2. Ivo Poncny, 2000. "Exact person fit indexes for the rasch model for arbitrary alternatives," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 29-42, March.
    3. Matthias Davier & Xueli Xu & Claus Carstensen, 2011. "Measuring Growth in a Longitudinal Large-Scale Assessment with a General Latent Variable Model," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 318-336, April.
    4. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    5. Mutz, Rüdiger & Daniel, Hans-Dieter, 2018. "The bibliometric quotient (BQ), or how to measure a researcher’s performance capacity: A Bayesian Poisson Rasch model," Journal of Informetrics, Elsevier, vol. 12(4), pages 1282-1295.
    6. Singh, Jagdip, 2004. "Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example," Journal of Business Research, Elsevier, vol. 57(2), pages 184-208, February.
    7. Stefano Noventa & Luca Stefanutti & Giulio Vidotto, 2014. "An Analysis of Item Response Theory and Rasch Models Based on the Most Probable Distribution Method," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 377-402, July.
    8. Peida Zhan & Hong Jiao & Dandan Liao & Feiming Li, 2019. "A Longitudinal Higher-Order Diagnostic Classification Model," Journal of Educational and Behavioral Statistics, , vol. 44(3), pages 251-281, June.
    9. Yuguo Chen & Dylan Small, 2005. "Exact tests for the rasch model via sequential importance sampling," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 11-30, March.
    10. David Hessen, 2005. "Constant latent odds-ratios models and the mantel-haenszel null hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 497-516, 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. Anton Formann & Ivo Ponocny, 2002. "Latent change classes in dichotomous data," Psychometrika, Springer;The Psychometric Society, vol. 67(3), pages 437-457, September.
    2. Gerhard Fischer, 1989. "An irt-based model for dichotomous longitudinal data," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 599-624, September.
    3. Galeotti, Marzio & Rubashkina, Yana & Salini, Silvia & Verdolini, Elena, 2018. "Environmental policy performance and its determinants: Application of a three-level random intercept model," Energy Policy, Elsevier, vol. 114(C), pages 134-144.
    4. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    5. Georg Gittler & Gerhard Fischer, 2011. "IRT-Based Measurement of Short-Term Changes of Ability, With an Application to Assessing the “Mozart Effectâ€," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 33-75, February.
    6. Matthew J. Madison & Laine P. Bradshaw, 2018. "Assessing Growth in a Diagnostic Classification Model Framework," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 963-990, December.
    7. Minjeong Jeon & Sophia Rabe-Hesketh, 2016. "An autoregressive growth model for longitudinal item analysis," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 830-850, September.
    8. José H. Lozano & Javier Revuelta, 2021. "A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test," Psychometrika, Springer;The Psychometric Society, vol. 86(4), pages 994-1015, December.
    9. Anton Formann, 1986. "A note on the computation of the second-order derivatives of the elementary symmetric functions in the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 335-339, June.
    10. Clemens Draxler & Rainer Alexandrowicz, 2015. "Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 897-919, December.
    11. 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.
    12. 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.
    13. repec:jss:jstsof:20:i09 is not listed on IDEAS
    14. Thorsten Meiser, 1996. "Loglinear Rasch models for the analysis of stability and change," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 629-645, December.
    15. Alberto Maydeu-Olivares & Rosa Montaño, 2013. "How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 116-133, January.
    16. Susan Embretson, 1999. "Generating items during testing: Psychometric issues and models," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 407-433, December.
    17. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    18. Mark Wilson & Geofferey Masters, 1993. "The partial credit model and null categories," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 87-99, March.
    19. Daniela Raccanello & Giada Vicentini & Elena Trifiletti & Roberto Burro, 2020. "A Rasch Analysis of the School-Related Well-Being (SRW) Scale: Measuring Well-Being in the Transition from Primary to Secondary School," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
    20. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    21. 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.

    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:60:y:1995:i:4:p:459-487. 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.