IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v56y1991i2p177-196.html
   My bibliography  Save this article

Randomization-based inference about latent variables from complex samples

Author

Listed:
  • Robert Mislevy

Abstract

No abstract is available for this item.

Suggested Citation

  • Robert Mislevy, 1991. "Randomization-based inference about latent variables from complex samples," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 177-196, June.
  • Handle: RePEc:spr:psycho:v:56:y:1991:i:2:p:177-196
    DOI: 10.1007/BF02294457
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294457
    Download Restriction: Access to full text is restricted to subscribers.

    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. Steven Rigdon & Robert Tsutakawa, 1983. "Parameter estimation in latent trait models," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 567-574, December.
    2. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    3. Harvey Goldstein & Roderick McDonald, 1988. "A general model for the analysis of multilevel data," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 455-467, December.
    4. 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.
    5. Robert Mislevy, 1984. "Estimating latent distributions," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 359-381, 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. José Manuel Cordero Ferrera & César Manchón López & Mª Ángeles García Valiñas, 2011. "Los resultados educativos españoles en PISA 2009 y sus condicionantes," Investigaciones de Economía de la Educación volume 6,in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 4, pages 70-87 Asociación de Economía de la Educación.
    2. Ammermüller, Andreas & Dolton, Peter J., 2006. "Pupil-teacher gender interaction effects on scholastic outcomes in England and the USA," ZEW Discussion Papers 06-060, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. Ammermüller, Andreas & Pischke, Jörn-Steffen, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," ZEW Discussion Papers 06-027, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    4. Maarten Marsman & Gunter Maris & Timo Bechger & Cees Glas, 2016. "What can we learn from Plausible Values?," Psychometrika, Springer;The Psychometric Society, vol. 81(2), pages 274-289, June.
    5. Yan Huo & Jimmy de la Torre & Eun-Young Mun & Su-Young Kim & Anne Ray & Yang Jiao & Helene White, 2015. "A Hierarchical Multi-Unidimensional IRT Approach for Analyzing Sparse, Multi-Group Data for Integrative Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 834-855, September.
    6. repec:spr:alstar:v:102:y:2018:i:2:d:10.1007_s10182-017-0303-6 is not listed on IDEAS
    7. Lynne Schofield & Brian Junker & Lowell Taylor & Dan Black, 2015. "Predictive Inference Using Latent Variables with Covariates," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 727-747, September.
    8. 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.
    9. Giannelli, Gianna Claudia & Rapallini, Chiara, 2016. "Immigrant student performance in Math: Does it matter where you come from?," Economics of Education Review, Elsevier, vol. 52(C), pages 291-304.
    10. 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.
    11. Amini, Chiara & Commander, Simon, 2012. "Educational scores: How does Russia fare?," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 508-527.
    12. Kleinert, Corinna & Yamamoto, Kentaro & Wölfel, Oliver & Gilberg, Rainer, 2012. "Working and learning in a changing world : Part VI: Literacy and numeracy skills - test design, implementation, scaling and statistical models for proficiency estimation," FDZ Methodenreport 201210_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    14. Cho, S.-J. & Rabe-Hesketh, S., 2011. "Alternating imputation posterior estimation of models with crossed random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 12-25, January.
    15. Ersado, Lire & Gignoux, Jeremie, 2014. "Egypt : inequality of opportunity in education," Policy Research Working Paper Series 6996, The World Bank.
    16. Ammermüller, Andreas, 2005. "Educational Opportunities and the Role of Institutions," ZEW Discussion Papers 05-44, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    17. Lire Ersado & Jérémie Gignoux, 2014. "Inequality of Educational Opportunities in Egypt," Working Papers halshs-01064510, HAL.
    18. Brian Jacob & Jesse Rothstein, 2016. "The Measurement of Student Ability in Modern Assessment Systems," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 85-108, Summer.
    19. repec:iab:iabfda:201210_en is not listed on IDEAS

    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:56:y:1991:i:2:p:177-196. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.