IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v52y1987i3p409-430.html
   My bibliography  Save this article

Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients

Author

Listed:
  • Wai-Yin Poon
  • Sik-Yum Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • Wai-Yin Poon & Sik-Yum Lee, 1987. "Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 409-430, September.
    • Handle: RePEc:spr:psycho:v:52:y:1987:i:3:p:409-430
    DOI: 10.1007/BF02294364
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294364
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294364?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. Sik-Yum Lee & Wai-Yin Poon, 1986. "Maximum likelihood estimation of polyserial correlations," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 113-121, 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. Florian Schuberth & Jörg Henseler & Theo K. Dijkstra, 2018. "Partial least squares path modeling using ordinal categorical indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 9-35, January.
    2. Schröder, Michael & Dornau, Robert, 1999. "What's on their mind: do exchange rate forecasters stick to theoretical models?," ZEW Discussion Papers 99-08, ZEW - Leibniz Centre for European Economic Research.
    3. Katsikatsou, Myrsini & Moustaki, Irini & Md Jamil, Haziq, 2022. "Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random," LSE Research Online Documents on Economics 108933, London School of Economics and Political Science, LSE Library.
    4. Steffen Fieuws & Geert Verbeke, 2006. "Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles," Biometrics, The International Biometric Society, vol. 62(2), pages 424-431, June.
    5. Poon, Wai-Yin & Hung, Hin-Yan, 1996. "Analysis of square tables with ordered categories," Computational Statistics & Data Analysis, Elsevier, vol. 22(3), pages 303-322, July.
    6. de Leon, A.R., 2005. "Pairwise likelihood approach to grouped continuous model and its extension," Statistics & Probability Letters, Elsevier, vol. 75(1), pages 49-57, November.
    7. A. R. de Leon & A. Soo & T. Williamson, 2011. "Classification with discrete and continuous variables via general mixed-data models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(5), pages 1021-1032, February.
    8. Li, Zhengtao & Folmer, Henk & Xue, Jianhong, 2014. "To what extent does air pollution affect happiness? The case of the Jinchuan mining area, China," Ecological Economics, Elsevier, vol. 99(C), pages 88-99.
    9. Hao Bai & Yuan Zhong & Xin Gao & Wei Xu, 2020. "Multivariate Mixed Response Model with Pairwise Composite-Likelihood Method," Stats, MDPI, vol. 3(3), pages 1-18, July.
    10. Michael Schroder & Robert Dornau, 2002. "Do forecasters use monetary models? an empirical analysis of exchange rate expectations," Applied Financial Economics, Taylor & Francis Journals, vol. 12(8), pages 535-543.
    11. Nerlove, Marc & Schuermann, Til, 1997. "Businessmen's Expectations Are Neither Rational nor Adaptive," ZEW Discussion Papers 97-01, ZEW - Leibniz Centre for European Economic Research.
    12. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    13. Wai Chan & Peter Bentler, 1998. "Covariance structure analysis of ordinal ipsative data," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 369-399, December.
    14. Mortier, F. & Robin, S. & Lassalvy, S. & Baril, C.P. & Bar-Hen, A., 2006. "Prediction of Euclidean distances with discrete and continuous outcomes," Journal of Multivariate Analysis, Elsevier, vol. 97(8), pages 1799-1814, September.
    15. Leila Amiri & Mojtaba Khazaei & Mojtaba Ganjali, 2017. "General location model with factor analyzer covariance matrix structure and its applications," 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. 11(3), pages 593-609, September.
    16. Leila Amiri & Mojtaba Khazaei & Mojtaba Ganjali, 2018. "A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 95-115, January.
    17. Hikaru Hasegawa, 2013. "On polychoric and polyserial partial correlation coefficients: a Bayesian approach," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 139-156, September.
    18. Cristiano Varin, 2008. "On composite marginal likelihoods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 1-28, February.
    19. E. Bahrami Samani & M. Ganjali, 2011. "Bayesian latent variable model for mixed continuous and ordinal responses with possibility of missing responses," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(6), pages 1103-1116, March.
    20. Adolfo Esparcia & Joan Guárdia Olmos, 2001. "The Relationship of the Degree of Exposure to a Technological Disaster and Emotional Response: A Structural Model Approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(2), pages 161-171, May.
    21. Edward J. Bedrick & Jodi Lapidus & Joseph F. Powell, 2000. "Estimating the Mahalanobis Distance from Mixed Continuous and Discrete Data," Biometrics, The International Biometric Society, vol. 56(2), pages 394-401, June.
    22. Myrsini Katsikatsou & Irini Moustaki, 2016. "Pairwise Likelihood Ratio Tests and Model Selection Criteria for Structural Equation Models with Ordinal Variables," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1046-1068, December.
    23. Sik-Yum Lee & Wai-Yin Poon & P. Bentler, 1989. "Simultaneous analysis of multivariate polytomous variates in several groups," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 63-73, March.

    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. de Leon, A.R., 2005. "Pairwise likelihood approach to grouped continuous model and its extension," Statistics & Probability Letters, Elsevier, vol. 75(1), pages 49-57, November.
    2. Sik-Yum Lee & Wai-Yin Poon & P. Bentler, 1992. "Structural equation models with continuous and polytomous variables," Psychometrika, Springer;The Psychometric Society, vol. 57(1), pages 89-105, March.
    3. P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August.

    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:52:y:1987:i:3:p:409-430. 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.