IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v27y1998i3p257-270.html
   My bibliography  Save this article

Theory and method for constrained estimation in structural equation models with incomplete data

Author

Listed:
  • Tang, Man-Lai
  • Bentler, Peter M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Tang, Man-Lai & Bentler, Peter M., 1998. "Theory and method for constrained estimation in structural equation models with incomplete data," Computational Statistics & Data Analysis, Elsevier, vol. 27(3), pages 257-270, May.
    • Handle: RePEc:eee:csdana:v:27:y:1998:i:3:p:257-270
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(98)00015-2
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. C. Hendricks Brown, 1983. "Asymptotic comparison of missing data procedures for estimating factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 269-291, June.
    2. Carl Finkbeiner, 1979. "Estimation for the multiple factor model when data are missing," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 409-420, December.
    3. Sik-Yum Lee, 1986. "Estimation for structural equation models with missing data," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 93-99, March.
    4. S. Lee & R. Jennrich, 1979. "A study of algorithms for covariance structure analysis with specific comparisons using factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 44(1), pages 99-113, March.
    5. Robert Cudeck & Kelli Klebe & Susan Henly, 1993. "A simple Gauss-Newton procedure for covariance structure analysis with high-level computer languages," Psychometrika, Springer;The Psychometric Society, vol. 58(2), pages 211-232, June.
    6. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, 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. Yuan, Ke-Hai, 2009. "Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1900-1918, October.
    2. Ke-Hai Yuan & Mortaza Jamshidian & Yutaka Kano, 2018. "Missing Data Mechanisms and Homogeneity of Means and Variances–Covariances," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 425-442, 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. Yuan, Ke-Hai, 2009. "Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1900-1918, October.
    2. Tang, Man-Lai & Lee, Sik-Yum, 1998. "Analysis of structural equation models with censored or truncated data via EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 33-46, March.
    3. Ke-Hai Yuan & Linda Marshall & Peter Bentler, 2002. "A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 95-121, March.
    4. Ting Lin, 2010. "A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(2), pages 277-287, February.
    5. Olinsky, Alan & Chen, Shaw & Harlow, Lisa, 2003. "The comparative efficacy of imputation methods for missing data in structural equation modeling," European Journal of Operational Research, Elsevier, vol. 151(1), pages 53-79, November.
    6. Barnes, Stuart J. & Vidgen, Richard T., 2014. "Technology socialness and Web site satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 12-25.
    7. Yuan, Ke-Hai & Chan, Wai, 2008. "Structural equation modeling with near singular covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4842-4858, June.
    8. Justina GineikienÄ—, 2013. "Consumer Nostalgia Literature Review And An Alternative Measurement Perspective," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    9. Eldad Davidov & Stefan Thörner & Peter Schmidt & Stefanie Gosen & Carina Wolf, 2011. "Level and change of group-focused enmity in Germany: unconditional and conditional latent growth curve models with four panel waves," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 481-500, December.
    10. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2008. "Health Indexes and Retirement Modeling in International Comparisons," Working Papers 614, RAND Corporation.
    11. Jost Reinecke & Cornelia Weins, 2013. "The development of delinquency during adolescence: a comparison of missing data techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3319-3334, October.
    12. Valentin Kvist, Ann & Gustafsson, Jan-Eric, 2007. "The relation between fluid intelligence and the general factor as a function of cultural background: a test of Cattell's investment theory," Working Paper Series 2007:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Heung-Hee Choi, 2023. "The Relationships between Participation Motivation and Continuous Participation Intention: Mediating Effect of Sports Commitment among University Futsal Club Participants," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    14. Liu, Yuqing & Schuberth, Florian & Liu, Yide & Henseler, Jörg, 2022. "Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 152(C), pages 221-230.
    15. Kano, Yutaka & Takai, Keiji, 2011. "Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1241-1255, October.
    16. Yutaka Kano, 1990. "Noniterative estimation and the choice of the number of factors in exploratory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 277-291, June.
    17. Webley, Paul & Nyhus, Ellen K., 2006. "Parents' influence on children's future orientation and saving," Journal of Economic Psychology, Elsevier, vol. 27(1), pages 140-164, February.
    18. Hess, Brian, 2000. "Assessing program impact using latent growth modeling: a primer for the evaluator," Evaluation and Program Planning, Elsevier, vol. 23(4), pages 419-428, November.
    19. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    20. Björn Halleröd & Miia Bask, 2008. "Accumulation of Welfare Problems in a Longitudinal Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 88(2), pages 311-327, September.

    More about this item

    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:eee:csdana:v:27:y:1998:i:3:p:257-270. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.