IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v58y1993i2p159-194.html
   My bibliography  Save this article

A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF

Author

Listed:
  • Robin Shealy
  • William Stout

Abstract

No abstract is available for this item.

Suggested Citation

  • Robin Shealy & William Stout, 1993. "A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF," Psychometrika, Springer;The Psychometric Society, vol. 58(2), pages 159-194, June.
  • Handle: RePEc:spr:psycho:v:58:y:1993:i:2:p:159-194
    DOI: 10.1007/BF02294572
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294572
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294572?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. William Meredith & Roger Millsap, 1992. "On the misuse of manifest variables in the detection of measurement bias," Psychometrika, Springer;The Psychometric Society, vol. 57(2), pages 289-311, 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. Roger Millsap, 2007. "Invariance in Measurement and Prediction Revisited," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 461-473, December.
    2. Herbert Hojtink & Ivo Molenaar, 1997. "A multidimensional item response model: Constrained latent class analysis using the gibbs sampler and posterior predictive checks," Psychometrika, Springer;The Psychometric Society, vol. 62(2), pages 171-189, June.
    3. Marilyn M. Schapira & Cindy M. Walker & Kevin J. Cappaert & Pamela S. Ganschow & Kathlyn E. Fletcher & Emily L. McGinley & Sam Del Pozo & Carrie Schauer & Sergey Tarima & Elizabeth A. Jacobs, 2012. "The Numeracy Understanding in Medicine Instrument," Medical Decision Making, , vol. 32(6), pages 851-865, November.
    4. Omar Paccagnella, 2011. "Anchoring vignettes with sample selection due to non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 665-687, July.
    5. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2013. "Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 32-60, February.
    6. David Magis & Francis Tuerlinckx & Paul De Boeck, 2015. "Detection of Differential Item Functioning Using the Lasso Approach," Journal of Educational and Behavioral Statistics, , vol. 40(2), pages 111-135, April.
    7. Jeanne A. Teresi & Chun Wang & Marjorie Kleinman & Richard N. Jones & David J. Weiss, 2021. "Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 674-711, September.
    8. Denis Federiakin, 2020. "Investigating The Cross-National Comparability Of Testing Using Response Times," HSE Working papers WP BRP 57/EDU/2020, National Research University Higher School of Economics.
    9. Chen, Yunxiao & Li, Chengcheng & Ouyang, Jing & Xu, Gongjun, 2023. "DIF statistical inference without knowing anchoring items," LSE Research Online Documents on Economics 119923, London School of Economics and Political Science, LSE Library.
    10. Ke-Hai Yuan & Hongyun Liu & Yuting Han, 2021. "Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 345-377, 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. Francisco J. Conejo & Lawrence F. Cunningham & Clifford E. Young, 2020. "Revisiting the Brand Luxury Index: new empirical evidence and future directions," Journal of Brand Management, Palgrave Macmillan, vol. 27(1), pages 108-122, January.
    2. 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.
    3. Alberto Maydeu-Olivares, 2014. "In Memoriam, Roger E. Millsap 1954–2014," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 355-356, July.
    4. Jerry Welkenhuysen-Gybels, 2004. "The Performance of Some Observed and Unobserved Conditional Invariance Techniques for the Detection of Differential Item Functioning," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(6), pages 681-702, December.
    5. Timo Bechger & Gunter Maris, 2015. "A Statistical Test for Differential Item Pair Functioning," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 317-340, June.
    6. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    7. 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.
    8. Jules Ellis, 2014. "An Inequality for Correlations in Unidimensional Monotone Latent Variable Models for Binary Variables," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 303-316, April.
    9. 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.
    10. Deana Desa, 2018. "Understanding non-linear modeling of measurement invariance in heterogeneous populations," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(4), pages 841-865, December.
    11. David Hessen, 2012. "Fitting and Testing Conditional Multinormal Partial Credit Models," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 693-709, October.

    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:58:y:1993:i:2:p:159-194. 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.