IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v75y2010i4p633-648.html

Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis

Author

Listed:
  • Ke-Hai Yuan

  • Ying Cheng
  • Wei Zhang

Abstract

No abstract is available for this item.

Suggested Citation

  • Ke-Hai Yuan & Ying Cheng & Wei Zhang, 2010. "Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 633-648, December.
  • Handle: RePEc:spr:psycho:v:75:y:2010:i:4:p:633-648
    DOI: 10.1007/s11336-010-9169-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11336-010-9169-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11336-010-9169-1?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

    for a different version of it.

    References listed on IDEAS

    as
    1. David Gerbing & James Anderson, 1987. "Improper solutions in the analysis of covariance structures: Their interpretability and a comparison of alternate respecifications," Psychometrika, Springer;The Psychometric Society, vol. 52(1), pages 99-111, March.
    2. Ogasawara, Haruhiko, 2003. "A Supplementary Note on the Paper : Oblique Factors and Components with Independent Clusters," 商学討究 (Shogaku Tokyu), Otaru University of Commerce, vol. 53(4), pages 55-66.
    3. Yuan, Ke-Hai & Bentler, Peter M., 1999. "On asymptotic distributions of normal theory MLE in covariance structure analysis under some nonnormal distributions," Statistics & Probability Letters, Elsevier, vol. 42(2), pages 107-113, April.
    4. Ke-Hai Yuan & Peter Bentler, 2000. "On equivariance and invariance of standard errors in three exploratory factor models," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 121-133, March.
    5. K. Jöreskog, 1969. "A general approach to confirmatory maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 183-202, June.
    6. Haruhiko Ogasawara, 2003. "Oblique factors and components with independent clusters," Psychometrika, Springer;The Psychometric Society, vol. 68(2), pages 299-321, June.
    7. James Anderson & David Gerbing, 1984. "The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 155-173, June.
    8. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 493-517, 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. Guangjian Zhang & Kristopher J. Preacher, 2015. "Factor Rotation and Standard Errors in Exploratory Factor Analysis," Journal of Educational and Behavioral Statistics, , vol. 40(6), pages 579-603, December.
    2. Bryan, Victoria M. & Mayer, John D., 2020. "A meta-analysis of the correlations among broad intelligences: Understanding their relations," Intelligence, Elsevier, vol. 81(C).

    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. David W. Gerbing & James C. Anderson, 1992. "Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 132-160, November.
    2. Clement Stone & Michael Sobel, 1990. "The robustness of estimates of total indirect effects in covariance structure models estimated by maximum," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 337-352, June.
    3. Ke-Hai Yuan & Peter M. Bentler & Wei Zhang, 2005. "The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis," Sociological Methods & Research, , vol. 34(2), pages 240-258, November.
    4. Kohei Adachi, 2013. "Factor Analysis with EM Algorithm Never Gives Improper Solutions when Sample Covariance and Initial Parameter Matrices Are Proper," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 380-394, April.
    5. James Anderson & David Gerbing, 1984. "The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 155-173, June.
    6. Childs, Kristina K. & Bryson, Sara L. & Soderstrom, Melanie F.P. & Reed, April, 2024. "An Assessment of the Internal Structure of the Child and Adolescent Needs and Strengths (CANS) Using Two Samples of High-Risk Adolescents," Children and Youth Services Review, Elsevier, vol. 156(C).
    7. P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August.
    8. Zhang Tongtong & Yvonne Joseph Ason & Jamaliah Said & Nor Balkish Zakaria, 2024. "Enhancing Financial Resilience of Public Hospitals in China: A Dynamic Capability Approach to Addressing VUCA Challenges," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 3284-3294, October.
    9. Sharma, Subhash & Mukherjee, Soumen & Kumar, Ajith & Dillon, William R., 2005. "A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models," Journal of Business Research, Elsevier, vol. 58(7), pages 935-943, July.
    10. Oliver Roll & Jan Luca Geerties, 2025. "Unlocking value-based pricing: the moderating roles of pricing capabilities and contingency factors in B2B markets: an empirical approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(3), pages 232-253, June.
    11. FeCheng Ma & Farhan Khan & Kashif Ullah Khan & Si XiangYun, 2021. "Investigating the Impact of Information Technology, Absorptive Capacity, and Dynamic Capabilities on Firm Performance: An Empirical Study," SAGE Open, , vol. 11(4), pages 21582440211, November.
    12. Leonidou, Leonidas C. & Leonidou, Constantinos N. & Fotiadis, Thomas A. & Zeriti, Athina, 2013. "Resources and capabilities as drivers of hotel environmental marketing strategy: Implications for competitive advantage and performance," Tourism Management, Elsevier, vol. 35(C), pages 94-110.
    13. Luke Butcher & Ian Phau & Min Teah, 2016. "Brand prominence in luxury consumption: Will emotional value adjudicate our longing for status?," Journal of Brand Management, Palgrave Macmillan, vol. 23(6), pages 701-715, November.
    14. Zhang, XiaoLi & Liu, ChenGuang & Li, WenJuan & Evans, Steve & Yin, Yong, 2017. "Effects of key enabling technologies for seru production on sustainable performance," Omega, Elsevier, vol. 66(PB), pages 290-307.
    15. Hoshino, Takahiro, 2008. "Bayesian significance testing and multiple comparisons from MCMC outputs," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3543-3559, March.
    16. Donald Rubin & Dorothy Thayer, 1982. "EM algorithms for ML factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 47(1), pages 69-76, March.
    17. Enno Siemsen & Kenneth A. Bollen, 2007. "Least Absolute Deviation Estimation in Structural Equation Modeling," Sociological Methods & Research, , vol. 36(2), pages 227-265, November.
    18. Rajat Kumar Behera & Pradip Kumar Bala & Arghya Ray, 2024. "Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the Hype," Information Systems Frontiers, Springer, vol. 26(3), pages 899-919, June.
    19. Orchida Fayez & Burhan Ozfidan & Hala Ismail, 2023. "The Praxis of User Experience (UX) in the Design of Undergraduate Online Classes: Framing the Perceptions of Engineering and Social Sciences Students," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
    20. Lulaj Enkeleda, 2025. "Discerning Financial and Investment Epiphanies: Challenges, Inhibitions, and Global Perspectives - What Secrets Does Research Reveal?," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 35(3), pages 1-38.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:75:y:2010:i:4:p:633-648. 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.